Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Ant Colony Algorithm Based on Information Entropy Theory to Fuzzy Vehicle Routing Problem
To adapt the changing of market need, logistics providers in efforts to reduce costs and improve customer service levels to meet the customer satisfaction as individual demands. The actual distribution process, delivery vehicles will encounter various often uncertain external factors, resulting in delivery...
An Oil-water Layer Recognition System Based on Composition Intelligence Computation
Huanglin Zeng, Juan Li
In this paper, a composition intelligence computing method is suggested for an oil-water layer recognition system. The redundant condition attributes are reduced based on rough set attribute simplification algorithm so that an oil-water layer neural network recognition system can be simplified in order...
Concept of service provisioning and realization
Service transformation is one of the big challenges in this century from a scale and complexity perspective. The main objective is to increase service levels, enhancing both customer satisfaction and productivity. To reach this goal requires multi-dimensional approaches from business innovation, service...
The Improved Genetic Algorithm Used to Optimize Gabor Filters for Vehicle Detection
Dajiang Jin, Lan Long, Jiye Zhang
Our focus in this paper is on using the improved Genetic Algorithm (IGA) to optimize Gabor filters for vehicle detection. The Gabor filters parameters are encoded in a chromosome and optimized using genetic operators. Considering the deficiency of the traditional crossover operator at global searching,...
RBF Network-Based Chaotic Time Series Prediction and It's Application in Foreign Exchange Market
Li-li Ma, Xu-song Xu
The foreign exchange market is a chaotic dynamic system. We apply the RBF network-based chaotic time series prediction on the daily USD/RMB exchange rate. We apply the RBF network and phase space reconstruction to find the optimal embedding dimension in the foreign exchange market from the point view...
Spillover Effects Among Network Neighbors:Evidence From Telecommunications Of China
Zhaoyou Zeng, Zhihe Long, Jiajun Lai
As information technologies support more freedom of industrial location. Local governments, in order to increase their own output, may use telecommunications investment as a competitive tool for attracting factors of production. This effect, in a production-function framework, would manifest itself as...
An Analysis Model for Knowledge Transfer Efficiency Based the Cultural Circumstances
Junfeng Jiang, Xinghua Dang
This thesis advances a model of knowledge transfer based on their cultural circumstances which are constructed from four dimensions whose characteristics are measured by a variable ‘cultural distance’ introduced, and analyzes the efficiency of knowledge transfer between the two enterprises based on their...
Weighted Cache Replace Algorithm for Storage System
Yihui Luo, Xie Changsheng, Zhang Chengfeng
Usual cache replace algorithms are based on the assumption that the high cache hit ratio can bring lower average access time, which is right as storage system has the same device access time. After analyzing the performance of storage system, a conclusion is drawn that storage system can get lower average...
Research of the Impedance Control of the Two-Robot Coordination
Based on the control features of the two-robot coordination system, a system was set up from the structure of the coordination of human motor control system in layered modularization. A module of object hybrid impedance controller (HIC) was designed for it to compensate the whole dynamics and its stability...
A Facial Expression Recognition Method Based on Quantum Neural Networks
Li Peng, Junhua Li
The Facial Expression recognition is an important and complicated problem of pattern recognition field. In this paper, an approach to Facial Expression recognition based on multi-level transfer function Quantum Neural Networks (QNN) and multi-layer classifiers is presented. The QNN is trained and tested...
The long time behavior of solutions for a
Shaoyong Lai, Hongmei Cai
The initial-boundary value problem is investigated for a generalized Boussinesq equation with the quadratic nonlinearity. For small initial data and homogeneous boundary conditions, its solution is constructed in the form of a series which converges absolutely and uniformly. The long time asymptotic...
Generalized synchronization for two new different chaotic systems
Zhou Ping, Zhang Nian Ying
One generalized synchronization method for two new chaotic systems is established and the mathematical proof of this method is provided. Theoretical analyze and simulation results show that the method in this paper is effective
Learn from the Information Contained in the False Splice Sites as well as in the True Splice Sites using SVM
Shuo Xu, Fujing Ma, Lan Tao
In splice sites prediction, the information contained in false splice sites is often ignored, which has been recognized to be very valuable -. In this paper, three novel encoding approaches, MCM with DTF, MCM with UTF and WAM with UTF, are described, all of which consider the information both in...
On probabilistic averaging in bounded commutative residuated l-monoids
Hongjun Zhou, Guojun Wang
Bounded commutative R`-monoids are a generalization of MV-algebras as well as of BLalgebras.With the probability measure on the set of states on bounded commutative `-monoids, we introduce the satisfiability degrees of propositions as their average truth degrees. If we consider the probability measure...
New Multiobjectve PSO Algorithm for Nonlinear Constrained Programming Problems
A new approach is presented to solve nonlinear constrained programming problems (NLCPs) by using particle swarm algorithm(PSO). It neither uses any penalty functions, nor distinguish the feasible solutions and the infeasible solutions including swarm. The new technique treats the NLCPs as a bi-objective...
A Non-recursive Algorithm for 4-Peg Hanoi Tower
Jun Wang, Junpeng Liu, Guoying Yue, Liangshan Shao, Shukui Lu
The compound relationship between different moving-orders with different plates of 4-peg Hanoi Tower problem is analyzed in this paper, which is regarded as a new cross correlation pattern without fixed span, not the abutting correlation pattern of 3-peg problem. It is rearranged to a binary and hierarchical...
Using parametric functions to solve systems of linear fuzzy equations with a symmetric matrix
Annelies Vroman, Glad Deschrijver, Etienne Kerre
A method to solve linear fuzzy equations with a symmetric matrix is proposed. Ignoring the symmetry leads to an overestimation of the solution. Our method to find the solution of a system of linear fuzzy equations takes the symmetry of the matrix into account and is based on parametric functions. It...
Uncertain Reasoning in Diagnosis Tools
Xiaofang Deng, Qing Zhou, Gang Lei
In this paper we propose a diagnosis system which is based on the knowledge on the systems under diagnoses and the past diagnosis experiences. With the using of uncertain reasoning in the diagnosis system, it can give the most possible solution for the diagnosis system problems which can not be provided...
L2-L-infinite Fuzzy Filtering for Nonlinear Time-delay Jump Systems with Uncertain Parameters
Shuping He, Fei Liu
The L2-L-infinite fuzzy filtering problem for a class of nonlinear time-delay jump systems with uncertain parameters is considered. By using the constructed Lyapunov-Krasovskii function, a sufficient condition that the solution of the L2-L-infinite fuzzy filter existed is given and proved. The results...
Extended Cellular Automata Based Model for Simulating Multi-Scale Urban Growth Using GIS
Yongjiu Feng, Xiaohua Tong, Miaolong Liu
Cellular Automata (CA) have attracted growing attention in urban simulation because their capability in spatial modelling is not fully developed in GIS. A “bottom-up” model is proposed for simulating complex urban system based on the integration of extended cellular automata (ECA) and geographic information...
Implementation of Calculating Steiner Point for 2-D Objects
Jiuzhen Liang, Mirko Navara
This approach deals with the Steiner point calculation implementation and its application in image processing. Based on Steiner point definition and some properties, a numerical method is proposed for calculating the Steiner point of a 2-dimensional polytope. Also analysis of computational complexity...
A Framework of Ontology-supported Software Process Knowledge Representation
Jianying He, Haihua Yan, Chao Liu, Maozhong Jin
In this paper, we discuss the crucial importance of properly analyzing and representing useful assets obtained in the process of software development. An ontology supported knowledge representation scheme is presented to compose and organize process knowledge into an organizational repository. According...
Using Rough Set Theory to Achieve Reliable Chemical Solvents Selection: A Multi-attribute Decision Case Study
Chaozhe Jiang, Pei Hu, Dun Liu, Fang Xu, Jixue Yuan
The basic concepts of the rough set theory(RST) are introduced. An example of the rough set theory application to the chemical solvents selection problem(CSSP) is presented. Through the RST, we get a good multi-attributes decision-making effect in the chemical solvents selection. This work demonstrates...
Research on Water Supply Reservoir Operating Rules Extraction Based on Artificial immune Recognition System
Xianfeng Zhang, Xiaolin Wang, Zhengjie Yin, Huiqiang Li
In this paper artificial immune recognition system (AIRS) is employed as an emerging technique of data mining to extract the reservoir operating rules with a case of water supply reservoir, and we mainly focus on the impacts of learning mechanisms of AIRS on the obtained operation rules, therefore the...
Short-term Load Forecasting Based on FCM and Complex Gaussian Wavelet SVM
Yongkang Zheng, Weirong Chen, Chaohua Dai, Shengyong Ye
Complex Gaussian wavelet support vector machine (CGW-SVM) is constructed with complex Gaussian wavelet kernel function for short-term load forecasting (STLF). Based on the chaotic characteristics of short-term load time series, the series is reconstructed with phase space reconstruction theory (PSRT)....
Exact solutions to a generalized Benjamin-Bona-Mahony equation
Jing Chen, Shaoyong Lai, Yin Qing
Mathematical techniques based on auxiliary equations and the symbolic computation system Maple is employed to investigate a generalized Benjamin- Bona-Mahony differential equation. The Jacobian elliptic function solution, the soliton solutions and the triangle function solutions to the equation are constructed...
A Novel Self-adaptive Fuzzy-PID Controller for Temperature Control in Variable Refrigerant Volume (VRV) Air Conditioning Systems
Jinqiang Xu, Ziping Feng
Considering the multi-variable, nonlinearity, time lag and time variation characters of Variable Refrigerant Volume (VRV) air conditioning systems, a robust and self-adaptive two-stage Fuzzy Proportional Integral Derivative (FPID) controller for temperature control in a triple evaporator VRV system is...
Automatically Recognizing Stock Patterns Using RPCL Neural Networks
Stock patterns are those that occur frequently in stock time series, containing valuable forecasting information. In this paper, an approach to extract patterns and features from stock price time series is introduced. Thereafter, we employ two ANN-based methods to conduct clustering analyses upon the...
Models and Algorithms for Fuzzy Multi-objective Multi-follower Linear Bilevel Programming in a Partial Cooperative Situation
Basic bilevel programming deals with hierarchical optimization problems in which the leader at the upper level attempts to optimize his/her objective, subject to a set of constraints and his/her follower’s solution, and the follower at the lower level tries to find an optimized strategy according to...
A Modified Differential Evolution Algorithm for Optimization Neural Network
Ning Guiying, Zhou Yongquan
A Modified Differential Evolution (MDE) was proposed, which based on the basic Differential Evolution (DE) algorithm principle and implementing framework of DE. Optimizing the initial individuals with the 1/2 rule, and then introducing the reorganization of Evolution Strategies during the period of mutation...
Study on a Dynamic Intelligent Control Algorithm of Data Transfer for Moving Object
Fenqin He, Jianzhong Yin
Starting with data transfer, before transmitting GPS data of moving destination terminal to the monitoring center, dynamic intelligent algorithm can control the rhythm of data transfer, filter the unnecessary data transfer, and recover the filtered data. It puts forward the control model and algorithm...
Detection of QRS Complexes Using Wavelet Transforms and Golden Section Search
Wenli Chen, Zhiwen Mo, Wen Guo
The extraction and identification of ECG (electrocardiogram) signal characteristic parameters are the basis of ECG analysis and diagnosis. The fast and precise detection of QRS complexes is very important in ECG signal analysis, for it is the precondition of the correlative parameters calculation and...
An Approach for Attribute Weights Acquisition based on Rough Sets Theory and Information Gain
Dun Liu, Pei Hu, Tianrui Li, Chaozhe Jiang
The irrationality of constructing weights, lending to subjectivity and without considering the redundancy of attributes, exists in traditional management decision-making. The important rating and important rating are first proposed by the attribute reduct in rough sets theory. Then, the important rating...
A CBR Based Prediction Method for Web Aquatic Products Prices
Hongchun Yuan, Ying Chen, Jinling Ju
The ability to scientifically forecast the price of aquatic products plays an important role in the healthy and sustainable development of aquaculture. This paper presents a method for forecasting aquatic product prices using Case-Based Reasoning. Some key processes include automatic extraction of web...
Features Extraction and Selection Based on Rough Set and SVM in Abrupt Shot Detection
Yu Wu, Jialiang Han
Rough Set based reduction algorithm is taken as a method for feature selection in abrupt shot boundary detection. First, some information of macro blocks is extracted in P frame of MPEG video sequence. Then the information of the motion-activity, the type of macro blocks and the motion-distribution are...
Fuzzy Synthetic Evaluation on Knitted Fabric's Subjective Comfort Sensations
Min Li, Dongping Li, Weiyuan Zhang, Yanxia Zhao
Different kinds of knitted fabric vest are chosen as underwear samples made of a novel pearl - cellulose blend fiber and other functional fibers including Modal, milk fiber, Richcel, Dupont C, Tencel, cotton, viscose etc. Then subjective experiment with four stages is taken by strictly controlling the...
An Approach to Simplify the Index Hierarchy Based on Dempster - Shafer Theory
Chuohao Li, Chengming Liu, Tingting Peng
Based on the two concepts, namely, the different importance of index and the relative different importance of index which are presented in the paper, a knowledge engineering method, namely, an approach to simplify the index hierarchy is developed in this paper, through introducing DS theory. The superiority...
Fully implicational Triple I reasoning method on Linguistic truth-valued Lattice Implication Algebra
Xiaodong Pan, Yang Xu
Fully implicational Triple I method is one of important fuzzy reasoning methods. In this paper, we discuss fully implicational triple I reasoning method on a linguistic truth-valued lattice implication algebra L18, we define L18-type ®-triple I rule FMP and L18-type ®-triple I rule FMT, and give the...
A neural network approach for nonlinear bilevel programming problem
Yibing Lv, Tiesong Hu, Zhongping Wan
A novel neural network approach is presented for solving nonlinear bilevel programming problem. The proposed neural network is proved to be Lyapunov stable and capable of generating optimal solution to the nonlinear bilevel programming problem. The asymptotic properties of the neural network are analyzed...
A Multi-attribute Evaluation Method with Linguistic Values
Chuanhua Zeng, Yang Xu
An evaluation method with attributes’ weights and attributes’ values being pure linguistic values is put forward in this paper. The final result is gained through calculating the linguistic values directly. Based on this method, a weights optimization model and a corresponding algorithm are advanced...
Short-term electricity load forecasting based on particle swarm algorithm and SVM
Li-ping Wang, Jing-min Wang, Dan Zhao
In electricity industry, accurate load forecasting plays a key role in assuring the stability of power network and society. By far, there are many methods and models proposed to enhance the accuracy of forecasting results. On the basis of analyzing the performance of particle swarm algorithm (PSA) and...
An Immunology-based Cooperation Approach for Autonomous Robots
Jianhua Li, Haili Xu, Sun’an Wang, LeiShi Bai
Based on the immune response and immune network theory, the main mechanisms of interaction between antibody molecules, an artificial immune agent model and an artificial immune system for multi-autonomous robots system are put forward. By the simulating experiments and physical experiments, it indicates...
Study on Goal Directed Alternative Plan Recommendation Agent Negotiation
During the negotiation, many conflicts are due to the incomplete or incorrect knowledge about the negotiation goal. Negotiators can avoid it through asking the underling goals. We focus on the underlying goal of negotiation and present Goal Directed Alternative Plan Recommendation Negotiation (GDAPLN),...
Analysis of Network Effect in Port and Shipping System characterized by scale-free network
Wei Tian, Gui-shi Deng, Pei-jian Wu
Based on the brief summarization of the development, properties and representative research achievements of scale-free networks, the article makes an empirical analysis in some complex network characteristics of global shipping lines network. Taking port as dominant products, and shipping service, its...
An Ensemble Density-based Clustering Method
Luning Xia, Jiwu Jing
Density based clustering is sound for its great ability of finding arbitrary shapes of clusters and identifying the number of clusters automatically. DBSCAN is a frequently used density based clustering algorithm. In DBSCAN a density threshold, which is hard to be chosen adaptively, should be specified...
Ontology-based Method for Geospatial Web Services Discovery
Guiwen Lan, Quanyi Huang
Finding suitable geospatial web services is a crucial task in the open and distributed environment. However, limiting to the current web service technology, keyword-based search in catalogs does nothing to overcome the semantic heterogeneity, leading to find suitable services difficultly or to discover...
Data Mining on Prices of Highway Project Main Material Based on WEB
Jie He, Yikai Chen, Wen Hang, Zhiguo Qi
The management of main material prices of provincial highway project quota has problems of lag and blindness. Framework of provincial highway project quota data MIS and main material price data warehouse were established based on WEB firstly. Then concrete processes of provincial highway project main...
Optimization of Hidden Markov Model by a Genetic Algorithm for Web Information Extraction
Jiyi Xiao, Lamei Zou, Chuanqi Li
This paper demonstrates a new training method based on GA and Baum-Welch algorithms to obtain an HMM model with optimized number of states in the HMM models and its model parameters for web information extraction. This method is not only able to overcome the shortcomings of the slow convergence speed...
The Design and Implementation of an Interactive Intelligent Chinese Question Answering System
Faguo Zhou, Bingru Yang
At first, this paper reviews the concept and development history of the Question Answering system and several common types of Question Answering systems are briefly introduced. Then concerning the Question Answering system based on knowledge-base, a theoretical model of an interactive intelligent Question...
ANN with the Error Contracting Gradually Algorithm and Its Application in Generator Fault Diagnosis
Based on analysis of conventional back-propagation (BP) network, the causes of error curve oscillation and excessive learning are first proposed. Next, a new BP with the error contracting gradually algorithm is put forward, through setting up neuron error threshold function, only when neuron’s error...
Visual Intelligent Simulation for Railway Container Yard Based on Agent
Fang Liu, Xiao Wu
Being aimed at the characteristic of voluntariness and dynamics of handling machinery working in railway container yard, the structure of simulation system based on data-base and model base is put forward. Architecture of agent and process of system simulation are created for visual intelligent simulation...
Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings
In this paper, we introduce and study a new class of random generalized bi-linear mixed variational-like inequality for random fuzzy mappings. By using the minimax inequality and extending auxiliary principle, we prove an existence and uniqueness theorem of the solution for the random generalized bi-linear...
Fuzzy Control of Fin Stabilizer at Zero Speed Based on Improved Genetic Algorithm
Xiaofei Zhang, Hongzhang Jin
Frequency spectrum of ocean wave is analyzed to enhance the efficiency of fin stabilizer when the intensity of wave is changing. Random optimal control system with quadratic performance index is designed based on the extended state functions. Performance index weight matrices are optimized with genetic...
Dynamic Load Balancing of the Bio-network Based on Bio-Entity Migration
Xiangfeng Zhang, Yongsheng Ding
Inspired by the principles and concepts of neuroendocrine-immune systems, the bio-network architecture has been proposed. The migration behavior of bio-entities and the migration stability are analyzed. A dynamic load balancing algorithm is proposed based on bio-entities migration behavior. According...
Hierarchical Inconsistent Qualitative Knowledge Integration for Quantitative Bayesian Inference
Rui Chang, Wilfried Brauer
We propose a novel framework for performing quantitative Bayesian inference based on qualitative knowledge. Here, we focus on the treatment in case of inconsistent qualitative knowledge. A hierarchical Bayesian model is proposed for integrating inconsistent qualitative knowledge by calculating a prior...
Equality and Identity of Fuzzy Numbers and Fuzzy Arithmetic with Equality Constraints
Haitao Liu, Sizong GUO
The difference between equality and identity of two fuzzy numbers is discussed in this paper. According to fuzzy arithmetic with requisite constraints put forward by Klir, the fuzzy arithmetic with equality constraints and its expression based on structured element are put forward, and then the irreversible...
The Distributed Detection Arithmetic With Fading Channel Based On The Minimum Error Probability
Yingkun Liu, Xinxi Feng, Honggang Dang, Pingjun Pan
In the actual detection, due to bandwidth?channel fading and channel noise, the ideal channel isn’t assured from the local detector to fusion center, so the optimal detection arithmetic is rectified accordingly. In this paper, we study the global optimal detection algorithm based on the two kinds of...
PCNN Forecasting Model Based on Wavelet Transform and Its Application
Qiang Fu, Yan Feng, Deng-chao Feng
Pulse Coupled Neural Network (PCNN), called the third generation of neural network, is widely used in image processing for its basic characteristics of coupling mechanism and achieved some results. PCNN is improved based on the above basic characteristics in the paper: correlation coefficient is used...
Reliability Analysis of Circuit Performance Based on Random Set Theory
Xiaobin Xu, Wen Chenglin, Liu Rongli
Circuit performance is a function of circuit parameters. If these parameters are random variables, the perfor-mance index is also a random variable. System performance can be determined by value of this index and more importantly, by the probability that it is maintained in specified tolerance range....
Fuzzy Ontology Model for Knowledge Management
Ontology is the basis of sharing and reusing knowledge on the semantic web. The fuzzy ontology is an extension of the domain ontology for solving the uncertainty problems. Current fuzzy ontology models do not focus on essential semantic relationships between fuzzy concepts, which lead difficulty in ontology...
Construct Offline and Online Membership Functions Based on SVM for Classification
Xiangsheng Rong, Ping Ling
The classification algorithm presented in this paper consists of Offline and Online Membership Functions, named as OOMF. They cooperated with each other to provide qualified class label of confidence. The offline membership function is derived from decision functions yielded by a weighted SVMs approach...
A Novel Incentive Consistent Peer Selection Mechanism
Hui Zhao, Xingwei Liu
The typical methods proposed to improve the Qos (Quality of Service) of streaming are discussed on two aspects: peer selection and data assignment. Since most of the recent peer selection mechanisms used in streaming system hasn’t taken peer’s historical behavior into account, this paper introduced a...
Efficient Music Genre Retrieval Based on Peer Interest Clustering in P2P Networks
Xianfu Meng, Zhenyu Guo, Yue Gong
Content-based music retrieval is desirable in Peer-to-Peer (P2P) networks, considering its popularity for users and its ability of semantic search, intensive computing cost raises a barrier to efficiency and scalability though. In this paper, we propose an approach of music genre retrieval based on peer...
The New Method Definite Initial Cluster Center for Fuzzy Risk Clustering Neural Networks
Kaiqi Zou, Jie Cui
Neural network has a powerful parallel processing capability, along with its rise in the fuzzy risk cluster analysis which has occupied an important position, however, the quality of fuzzy risk clustering results is influenced by the initial value of options. The initial cluster center method for fuzzy...
Study on Transient Signals Recognition in Power System Based on Multiwavelet Packet Coefficient Entropy and Artificial Neural Network
Dongmin Li, Zhigang Liu, Baichao Huo, Yuxiang Su
Multiwavelets own better properties than those of traditional wavelets. In the paper multiwavelet packet coefficient entropy (MPCE) is defined through combining decomposition coefficient of multiwavelet packet with entropy. A novel transient signals recognition method based on MPCE and artificial neural...
An improved ?-PSO algorithm with mutation
In our previous work, a new PSO algorithm called ?-PSO based on phase angle was put forward, which has better optimization performance than standard PSO algorithm when dealing with some simple benchmark functions. But this algorithm may easily stick in the local minima when handling some complex or multi-mode...
Model Identification and Control for Nonlinear Discrete-time System with Time Delay: A Support Vector Machine Approach
In this paper, a design procedure of support vector machine (SVM) based model identification and control strategy for stable nonlinear discrete-time process with input-output form is proposed. In order to be able to implement the control structure, the both inverse and straight model representation and...
Texture Image Segmentation Using Without Re-initialization Geodesic Active Contour Model
Kaibin Wang, Bianzhang Yu
A novel method of texture image segmentation is proposed, which has three advantages compared to other active contours. First, by combining the gray levels of pixels and texture information of an image, this method can be used for segmentation of a texture image or a non-texture image. Second, the method...
ETL Process Design and Quality Control Research Based on Radar Spatial Data
In order to study nowcasting operations using spatial data mining, a spatial data warehouse must be built via ETL process to store radar spatial data reflects strong convection weather. Also, the quality control of radar spatial data in the ETL process, which directed at weather station observed data...
Mining Combined Detection of Tumor Marker Based on Cloud Model
Feng Guo, Shaozi Li
The cloud model is an effective tool in transforming between qualitative concepts and their quantitative expressions. In the field of tumor marker, detects combined markers can improve the performance of cancer detection. But the discovery of combined tumor markers depends on doctor’s experience, and...
Design and implementation of a cache-based granular computing system
Xiaoxia Huang, Lun Cheng
This paper presents a multilayer cache-based attribute granular computing system. It can be used to implement algorithms based on attribute granular computing. After defining an attribute granule, it brings forward an operation and storage model. Six basic mapping operations and three suitable storage...
Immune Evolutionary Algorithm for Determining Weights in Interval Judgments
Jingwen Huang, Yongsheng Ding, Zhihua Hu
In a Multiple Criteria Decision Analysis (MCDA) problem, determination of weights is an important aspect of the Analytic Hierarchy Process (AHP). In this paper, the problem to computer the weight vector of the interval number matrix is regarded as a nonlinear optimization model with constraints. An immune...
Goal Representation and Reasoning based on Description Logics(DLs)
Xiuguo Wu, Guangzhou Zeng, Fangxi Han, Rui Wang
Over the past decades, goal models have been used in Computer Science in order to represent business objective, design qualities and desirable states. The main merit of goal-driven systems is that they bridge the human and the machine level problem solving. This paper presents first steps towards the...
Benchmarking the life cycle cost management of building project
Guoqiang Ren, Qianying Zhang
Benchmarking of best practices has been proved usefully in the business and manufacturing sectors. However, benchmarking is not established in the life cycle cost management (LCCM) of building project. This paper firstly analysis the barriers of LCCM and finds that the important barriers are history...
Time-Frequency Analysis Based on PNN for Nonstationary Random Vibration of Spacecraft
Hai Yang, Wei Cheng, Hong Zhu, None None
In view of the disadvantages of the traditional time-varying algorithm about nonstationary random vibration signal of a spacecraft with close spaced modal frequency. A process neural network (PNN) based on the empirical mode decomposition (EMD) method is put forward. First, the EMD method is utilized...
A Novel Variable Step Size LMS Algorithm Based On Neural Network
Anyang Zhang, Ningsheng Gong
This paper presents a new variable step size LMS algorithm based on neural network (BP-LMS). A non-linear relationship amongst the input vectors, deviation errors and the learning steps is constructed by BP model, which is employed to determine the learning steps during adaptive processing. The proposed...
Properties of Linguistic 2-tuple Judgement Matrix with Additive Consistency
Xixiang Zhang, Jing Lei, Baoan Yang
Many scholars focus on linguistic 2-tuple to solve group decision making problem based on linguistic information because it can avoid information losing in the process of manipulating and computing linguistic information. However, there are few researches on the properties of linguistic 2-tuple judgement...
A Key Delay Design Operation Model of Block Cipher Algorithm in Network
Lan Luo, ZhiGuang Qin, ShaoQuan Jiang, Jian Wang
For the published block cipher algorithm, the key design is an important part to a cryptographic system. Block ciphers used in network environment take more risks than ever before because of their initialization key’s distribution in internet openly. But key algorithm and block cipher algorithm combine...
An improved particle swarm optimizer with shuffled sub-swarms and its application in soft-sensor of gasoline endpoint
Hui Wang, Feng Qian
This paper proposes a shuffled sub-swarms particle optimizer algorithm (SSPSO) to enhance the diversity of particles in the swarm to improve the performance of PSO. SSPSO is tested with a series of benchmark functions and compared with other version PSO algorithms. Experimental results show that SSPSO...
Immune Genetic Algorithm for the Fixed Charge Transportation Problem
An immune genetic algorithm (IGA) for the fixed charge transportation problem is developed based on the immune theory in biology, which constructs an immune operator accomplished by two steps, a vaccination and an immune selection. The methods for selecting vaccines and constructing an immune operator...
A Study on the Qualitative Simulation of Consumer Behavior under the Environment of Electronic Commerce
The paper focuses on the qualitative simulation of consumer behavior under the environment of electronic commerce. The foundation of the qualitative simulation system is consumer attitude theory, consumer psychology, sociology and economics, and the system is oriented to how consumer behavioral intention...
An AI planning based approach for automated Web services composition
Xingwei Liu, Hui Zhao
In a dynamic Web services composition, the most of the planning approaches existed are usually centralized, whereas, the underlying layer services are distributed. Therefore, an approach for automated composition of semantic Web services based on AI planning is proposed. The HA is designed to make the...
The Expression and Reasoning of Spatial Direction Relations based on Lattice Arrays
Ping Guo, Shuyuan Jia, Dong Li
The direction relations expression, analysis and processing is a very important problem in GIS. In order to enhance the direction relations expression precision, we have given the hypo-strong direction relations set based on the human cognition, and discussed on the reasoning method based on the new direction...
Research on the Parameter Identification of LuGre Tire Model Based on Genetic Algorithms
Derong Tan, Yanyang Wang, Li Zhang
The LuGre tire model is a dynamic tire friction model which can describe the dynamic characteristic, but because of its high nonlinearity, it is very difficult to identify the parameters of the model. A two-step method for the parameter identification of LuGre tire model based on genetic algorithms is...
The sixth order P-stable method with minimal phase lag for a second order initial-value problem
Several symmetric (hybrid) two step sixth-order Pstable methods for the numerical integration of second order periodic initial value problems have been considered in this paper. These methods have minimal phase-lag than some sixth order methods in -. The theoretical and numerical results show that...
Research on Model of Project Synthetically Management Based on Genetic Algorithm
Xinghua Dang, Lei Wang
The multiattribute utility function was used to build a model of project’s time, quality and cost synthetically management under resource restriction in this paper, and then introduced the genetic algorithm to solve the model. Finally, advanced an example, and gave an alternative scheme of synthetically...
Early Software Reliability Prediction with Wavelet Networks Models
Accurate reliability estimates can be obtained by using software reliability models only in the later phase of software testing. However, for cost effective and timely, management prediction in the early phase is important. Non-homogenerous Poisson process (NHPP) models and Artificial Neural Network...
Possibilistic Decision-Making Approaches
In this paper, decision-making approaches with partially known information characterized by possibility distributions are proposed. Five kinds of criteria are provided for evaluating the alternatives. Based on the proposed possibilistic decision approaches, a newsvendor problem is analyzed.
Research on Global Path Planning in the Marine Environment for AUV
Rubo Zhang, Xu Chunhui, Zhang Ziying, Xu Dong
This paper presents a saving energy consumption approach to the AUV global path planning based GA. The AUV works in the large-scale marine environments and the energy consumption is a big problem when the AUV is working. Ocean current is a main factor that impacts AUV’s navigation. We consider ocean...
Parameters selection of SVM for function approximation based on Differential Evolution
ZHOU Shaowu, WU Lianghong, YUAN Xiaofang, TAN Wen
Support vector machines (SVM) is a new machine learning method, and it has the ability to approximate nonlinear functions with arbitrary accuracy. Right setting parameters are very crucial to learning results and generalization ability of SVM. In this paper, parameters selection is regarded as a compound...
Solving Path Planning Problem by an ACO-PSO Hybrid Algorithm
Chun-xue Shi, Bu Ying-yong, Li Zi-guang, Tan Jun
An ACO-PSO Hybrid Algorithm Solving Path Planning Problem based on Swarm Intelligence(SI) is proposed. The problem first is described and some corresponding definitions are presented. Ant colony optimization (ACO) is used to establish the corresponding solution, and some material algorithm steps are...
Anamorphic Signature Identification Based on Correlative Specific Area of Restored and Segmented Image with Transformable Gridding
Ning Wang, Guoqiang Han
This paper proposed a method to identify the anamorphic signature. The signature is set on a transformable gridding. Moving the gridding in opposite direction with anamorphic direction, the anamorphic signature is restored. Meanwhile, the restored signature is segmented into equal-area sections by the...
Fault Tolerant Web Services Composition as Planning
Dongning Rao, Zhihua Jiang, Yunfei Jinag
Fault existence is unavoidable in Web services (WS) providing and calling, so fault tolerant WS has drawn attention of researchers. But while AI planning is known as a promising techniques for WS composition (WSC) problem, few study focus on fault tolerant WSC. So in this paper we first use fault tolerant...
A new extracting rule algorithm from incomplete information system by covering rough sets
Dai Dai, Jianpeng Wang
In this paper, a new extracting rule algorithm from incomplete information system is proposed. First, we produce a covering on a domain according to attribute value of the objects, and then reduces are made on this covering. Second, we utilize rough sets model based on covering to estimate unknown value,...
GALQR Optimal Control Method and Applying in the Active Suspension System
This paper adds genetic algorithm (GA) to Linear Quadratic Regulator (LQR) and presents a new optimal control method-GALQR. The GALQR control method uses GA to optimize the weight matrices of LQR and adopts the divisional removing searching mechanism to insure getting the global optimal results. The...
OBJECTED-ORIENTED ANALYSIS IN THE APPLICATION OF SIMULATIVE TRANSFORMER SUBSTATION SYSTEM
As more challenging applications are automated, cooperative problem solving will be an important paradigm for the next generation of industrial intelligent systems. One of the key problems to use it in engineering domain is development of a structured design method. In this paper, an evolutionary, seamless,...
Neuron Model Utilizing Information of Local Samples for Forecasting Management State of Enterprise
In order to conquer the localization of the multi-layered feed forward neural networks, this paper presents a kind of neuron models utilizing information of local samples—the UILS neuron model, including an adaptive neuron model and a self-organization neuron model. Differing from traditional models,...
Multicategory Nonparallel Proximal Support Vector Machine
Xubing Yang, Songcan Chen, Zhisong Pan
We propose a multicategory classifier, termed as Multicategory Nonparallel Proximal Support Vector Machine (MNPSVM), which is in the spirit of proximal SVMs via generalized eigenvalues (GEPSVM). Difference from GEPSVM lie in that: 1) MNPSVM keeps the genuine rather than approximate geometrical interpretation...
Application Study of ILC with Fuzzy Neural Network in Shaking Table Control System
Jianqiu Chen, Xinzheng Zhang, Ping Tan, Fulin Zhou
This paper proposes a new approach to improve the control precision of shaking table control system, in which the fuzzy neural network (FNN) technique and iterative learn control (ILC) are combined and developed a new control technique. A FNN inverse model is built and is identified through a white noise...
Automatic Chinese Summarization Method Based on the HowNet and Clustering Algorithm
Gang Bai, Dongmei Wang, Zongyao Ding, Yi Zhu
To solve the problems in traditional automatic Chinese summarization, a new method based on the word concept and clustering is presented in this paper. Different from the normal statistical method, concept is used as feature instead of word. Also, instead of word frequency statistics, word concept frequency...