International Journal of Computational Intelligence Systems
A Multimodal Adversarial Attack Framework Based on Local and Random Search Algorithms
Zibo Yi, Jie Yu, Yusong Tan, Qingbo Wu
Volume 14, Issue 1, 2021, Pages 1934-1947
Although many problems in computer vision and natural language processing have made breakthrough progress with neural networks, adversarial attack is a serious potential problem in many neural network- based applications. Attackers can mislead classifiers with slightly perturbed examples, which are called...
Order-αCQ Divergence Measures and Aggregation Operators Based on Complex q-Rung Orthopair Normal Fuzzy Sets and Their Application to Multi-Attribute Decision-Making
Zeeshan Ali, Tahir Mahmood, Abdu Gumaei
Volume 14, Issue 1, 2021, Pages 1895-1922
Complex q-rung orthopair fuzzy set (CQROFS) contains the grade of supporting and the grade of supporting against in the form of polar coordinates belonging to unit disc in a complex plane and is a proficient technique to address awkward information, although the normal fuzzy number (NFN) examines normal...
Team Collaboration Particle Swarm Optimization and Its Application on Reliability Optimization
Bo Zheng, Xin Ma, Xiaoqiang Zhang, Huiying Gao
Volume 14, Issue 1, 2021, Pages 1842-1855
Particle swarm optimization (PSO) tends to be premature convergence due to easily trapping into local suboptimal areas. In order to overcome the PSO's defects, the reasons causing the defects are analyzed and summarized as population diversity deficiency, insufficient information sharing, unbalance...
Sun Shin Ahn, Hashem Bordbar, Young Bae Jun
Volume 14, Issue 1, 2021, Pages 1923-1933
The notions of interior BCK/BCI-algebras, positive implicative interior BCK-algebras, (weak) interior ideals, positive implicative interior ideals, a positive implicative weak interior ideal of type 1, type 2, and type 3 are introduced, and related properties are investigated. A mapping is provided to...
Higher-Order Strongly Preinvex Fuzzy Mappings and Fuzzy Mixed Variational-Like Inequalities
Muhammad Bilal Khan, Muhammad Aslam Noor, Khalida Inayat Noor, Yu-Ming Chu
Volume 14, Issue 1, 2021, Pages 1856-1870
A family of fuzzy mappings is called higher-order strongly preinvex fuzzy mappings (HOS-preinvex fuzzy mappings), which take the place of generalization of the notion of nonconvexity is introduced through the “fuzzy-max” order among fuzzy numbers. This family properly includes the family of preinvex...
Research on Comprehensive Evaluation of Data Source Quality in Big Data Environment
Wenquan Li, Suping Xu, Xindong Peng
Volume 14, Issue 1, 2021, Pages 1831-1841
Data quality is the prerequisite of big data research and the basis of all data analysis, mining, and decision support. Therefore, a comprehensive fuzzy evaluation method for big data quality evaluation is proposed. Through the analysis of big data quality characteristics, a big data quality evaluation...
Harmonically Convex Fuzzy-Interval-Valued Functions and Fuzzy-Interval Riemann–Liouville Fractional Integral Inequalities
Gul Sana, Muhammad Bilal Khan, Muhammad Aslam Noor, Pshtiwan Othman Mohammed, Yu-Ming Chu
Volume 14, Issue 1, 2021, Pages 1809-1822
It is well known that the concept of convexity establishes strong relationship with integral inequality for single-valued and interval-valued function. The single-valued function and interval-valued function both are special cases of fuzzy interval-valued function. The aim of this paper is to introduce...
Fast Category-Hidden Adversarial Attack Against Semantic Image Segmentation
Yinghui Zhu, Yuzhen Jiang, Zhongxing Peng, Wei Huang
Volume 14, Issue 1, 2021, Pages 1823-1830
In semantic segmentation, category-hidden attack is a malicious adversarial attack which manipulates a specific category without affecting the recognition of other objects. A popular method is the nearest-neighbor algorithm, which modifies the segmentation map by replacing a target category with other...
Detecting Objects from No-Object Regions: A Context-Based Data Augmentation for Object Detection
Jun Zhang, Feiteng Han, Yutong Chun, Kangwei Liu, Wang Chen
Volume 14, Issue 1, 2021, Pages 1871-1879
Data augmentation is an important technique to improve the performance of deep learning models in many vision tasks such as object detection. Recently, some works proposed the copy-paste method, which augments training dataset by copying foreground objects and pasting them on background images. By designing...
Predictive Analytics for Product Configurations in Software Product Lines
Uzma Afzal, Tariq Mahmood, Raihan ur Rasool, Ayaz H. Khan, Rehan Ullah Khan, Ali Mustafa Qamar
Volume 14, Issue 1, 2021, Pages 1880-1894
A Software Product Line (SPL) is a collection of software for configuring software products in which sets of features are configured by different teams of product developers. This process often leads to inconsistencies (or dissatisfaction of constraints) in the resulting product configurations, whose...
Cliques and Clique Covers in Interval-Valued Fuzzy Graphs
Napur Patra, Tarasankar Pramanik, Madhumangal Pal, Sukumar Mondal
Volume 14, Issue 1, 2021, Pages 1773-1783
Finding cliques and clique covers in graphs are one of the most needful tasks. In this paper, interval-valued fuzzy cliques (IVFQs) and interval-valued fuzzy clique covers (IVFQCs) of an interval-valued fuzzy graph (IVFG) are introduced by introducing the fuzziness because, the crisp graphs has some...
Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making
E. S. Vinoth Kumar, S. Appavu alias Balamurugan, S. Sasikala
Volume 14, Issue 1, 2021, Pages 1796-1808
In present decade, many Educational Institutions use classification techniques and Data mining concepts for evaluating student records. Student Evaluation and classification is very much important for improving the result percentage. Hence, Educational Data Mining based models for analyzing the academic...
An Outranking Approach for Gene Prioritization Using Multinetworks
Jesús Jaime Solano Noriega, Juan Carlos Leyva López, Fiona Browne, Jun Liu
Volume 14, Issue 1, 2021, Pages 1728-1741
High-throughput experimental techniques such as genome-wide association studies have been instrumental in the identification of disease-associated genes. These methods often produce large lists of disease candidate genes which are time-consuming and expensive to experimentally validate. Computational...
A Distributed Urban Traffic Congestion Prevention Mechanism for Mixed Flow of Human-Driven and Autonomous Electric Vehicles
Chenn-Jung Huang, Kai-Wen Hu, Hsing Yi Ho, Bing Zhen Xie, Chien-Chih Feng, Hung-Wen Chuang
Volume 14, Issue 1, 2021, Pages 1714-1727
Traffic congestion in urban areas has become a critical problem that municipal governments cannot overlook. Meanwhile, mixed traffic systems containing both autonomous and human-driven electric vehicles ramp up the challenge for traffic management in urban areas. Although numerous researchers have proposed...
Transitive Closures of Ternary Fuzzy Relations
Lemnaouar Zedam, Bernard De Baets
Volume 14, Issue 1, 2021, Pages 1784-1795
Recently, we have introduced six types of composition of ternary fuzzy relations. These compositions are close in spirit to the composition of binary fuzzy relations. Based on these types of composition, we have introduced several types of transitivity of a ternary fuzzy relation and investigated their...
Tactile–Visual Fusion Based Robotic Grasp Detection Method with a Reproducible Sensor
Yaoxian Song, Yun Luo, Changbin Yu
Volume 14, Issue 1, 2021, Pages 1753-1762
Robotic grasp detection is a fundamental problem in robotic manipulation. The conventional grasp methods, using vision information only, can cause potential damage in force-sensitive tasks. In this paper, we propose a tactile–visual based method using a reproducible sensor to realize a fine-grained and...
Improved Knowledge Measures for q-Rung Orthopair Fuzzy Sets
Muhammad Jabir Khan, Poom Kumam, Meshal Shutaywi, Wiyada Kumam
Volume 14, Issue 1, 2021, Pages 1700-1713
The q-rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov intuitionistic fuzzy set (IFS) and Pythagorean fuzzy sets (PyFSs). In this paper, we define the knowledge measure for qROFS by using the cosine inverse function. The information precision and information content...
A New Approach for the 10.7-cm Solar Radio Flux Forecasting: Based on Empirical Mode Decomposition and LSTM
Junqi Luo, Liucun Zhu, Hongbing Zhu, Wei Chien, Jiahai Liang
Volume 14, Issue 1, 2021, Pages 1742-1752
The daily 10.7-cm Solar Radio Flux (F10.7) data is a time series with highly volatile. The accurate prediction of F10.7 has a great significance in the fields of aerospace and meteorology. At present, the prediction of F10.7 is mainly carried out by linear models, nonlinear models, or a combination of...
Construction of Garment Pattern Design Knowledge Base Using Sensory Analysis, Ontology and Support Vector Regression Modeling
Zhujun Wang, Jianping Wang, Xianyi Zeng, Xuyuan Tao, Yingmei Xing, Pascal Bruniaux
Volume 14, Issue 1, 2021, Pages 1687-1699
Garment pattern design is an extremely significant factor for the success of fashion company in mass customization and industry 4.0. In this paper, we proposed a new approach for constructing a garment pattern design knowledge base (GPDKB) using sensory analysis, ontology and support vector regression...
Some Cosine Similarity Measures and Distance Measures between Complex q-Rung Orthopair Fuzzy Sets and Their Applications
Peide Liu, Zeeshan Ali, Tahir Mahmood
Volume 14, Issue 1, 2021, Pages 1653-1671
As a modification of the q-rung orthopair fuzzy sets (QROFSs), complex QROFSs (CQROFSs) can describe the inaccurate information by complex-valued truth grades with an additional term, named as phase term. Cosine similarity measures (CSMs) and distance measures (DMs) are important tools to verify the...
An Intelligent Hybrid System for Forecasting Stock and Forex Trading Signals using Optimized Recurrent FLANN and Case-Based Reasoning
D. K. Bebarta, T. K. Das, Chiranji Lal Chowdhary, Xiao-Zhi Gao
Volume 14, Issue 1, 2021, Pages 1763-1772
An accurate prediction of future stock market trends is a bit challenging as it requires a profound understanding of stock technical indicators, including market-dominant factors and inherent process mechanism. However, the significance of better trading decisions for a successful trader inspires researchers...
A Regulatable Blockchain Transaction Model with Privacy Protection
Zhiyuan Xue, Miao Wang, Qiuyue Zhang, Yunfeng Zhang, Peide Liu
Volume 14, Issue 1, 2021, Pages 1642-1652
Blockchain is a decentralized distributed ledger technology. The public chain represented by Bitcoin and Ethereum only realizes the limited anonymity of user identity, and the transaction amount is open to the whole network, resulting in user privacy leakage. Based on the existing anonymous technology,...
Detecting COVID-19 Patients in X-Ray Images Based on MAI-Nets
Wei Wang, Xiao Huang, Ji Li, Peng Zhang, Xin Wang
Volume 14, Issue 1, 2021, Pages 1607-1616
COVID-19 is an infectious disease caused by virus SARS-CoV-2 virus. Early classification of COVID-19 is essential for disease cure and control. Transcription-polymerase chain reaction (RT-PCR) is used widely for the detection of COVID-19. However, its high cost, time-consuming and low sensitivity will...
Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network
Heli Wang, Haifeng Huang, Sibo Yu, Weijie Gu
Volume 14, Issue 1, 2021, Pages 1672-1686
Diagnosing incipient faults of rotating machines is very important for reducing economic losses and avoiding accidents caused by faults. However, diagnoses of locations and sizes of incipient faults are very difficult in a noisy background. In this paper, we propose a fault diagnosis method that combines...
The Value Function with Regret Minimization Algorithm for Solving the Nash Equilibrium of Multi-Agent Stochastic Game
Luping Liu, Wensheng Jia
Volume 14, Issue 1, 2021, Pages 1633-1641
In this paper, we study the value function with regret minimization algorithm for solving the Nash equilibrium of multi-agent stochastic game (MASG). To begin with, the idea of regret minimization is introduced to the value function, and the value function with regret minimization algorithm is designed....