International Journal of Computational Intelligence Systems

Image intensity in magnetic resonance (MR) images in the presence of noise obeys Rician distribution. The signal-dependent Rician noise makes accurate image segmentation a challenging task. Although existing fuzzy c-means (FCM) variants with local filters improve the segmentation performance, they are...

Theoretical concepts of graphs are highly utilized by computer science applications. Especially in research areas of computer science such as data mining, image segmentation, clustering, image capturing and networking. In this paper, we discussed some properties of the –complement of bipolar fuzzy...

Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties. In this paper, the notion of soft relation is introduced which is a generalization of the notion of soft set relation, and some related properties are examined. Furthermore, the connections...

By means of infinite product of uniformly distributed probability spaces of cardinal , the concept of -validity degrees and validity degree vectors of formulae in two-valued predicate logic are introduced. It is proved that the validity degree vectors of formulae can preserve the logical relation between...

In this paper we discuss and analyze some of the intelligent classifiers which allows for automatic detection and classification of networks attacks for any intrusion detection system. We will proceed initially with their analysis using the WEKA software to work with the classifiers on a well-known IDS...

Most sectors of the economy like the universities, high-tech, financial services, and government institutions have data center. However, there are some issues which encompass current data center such as physical location, energy consumption, performance, flexibility. Big organizations like Google, IBM...

Finding the optimal weights for a set of financial assets is a difficult task. The mix of real world constrains and the uncertainty derived from the fact that process is based on estimates for parameters that likely to be inaccurate, often result in poor results. This paper suggests that a combination...

It is becoming increasingly likely that in the future most vehicles will be semi-autonomous with communication capabilities and will possess diverse speed capabilities. The aim of this paper is to describe the creation of an integrated traffic simulation system for such settings. While behaviours such...

Literature presents several search algorithms to find an item with specified properties from a search space defined by a mathematical formula or procedure. One of the widely accepted algorithms is optimization algorithm which can find the optimal element within a certain period of time if the search...

Energy storage alternatives that help storing excess energy and then using it when the system needs it has become more important in recent years. Determination of the most suitable energy storage alternative can be analyzed by using multi criteria decision making (MCDM) techniques. There are many criteria...

The modeling of biological phenomena and its adaptations to distributed computing are promising research areas. The computational modeling of neurobiological phenomena, such as cognition and consciousness, has potential for applications into bio-inspired distributed computing. The functioning of neurological...

Today, computer networks are complex and illegal wiretapping is possible. This poses a real problem for the security during transmission of data. For ethical reasons, the transfer of sensitive data cannot be done with such a danger and must protect themselves. Protection best suited for this type of...

This paper proposes a novel approach to decision making based on grey relational analysis and MYCIN certainty factor, which describes decision making problems with fuzzy soft sets. Firstly, we utilize grey relational analysis to obtain the grey mean relational degree, and the uncertain degree of various...

The aim of this paper is to present a novel approach for deriving weights of the decision criteria or alternatives in multi-attribute decision making (MADM) under intuitionistic fuzzy (IF) environment. In order to tackle the uncertainty and imprecision of the practical situations, decision makers’...

Time series forecasting has been an important tool in many areas such as agriculture, finance, management, production or sales. In recent years, a large literature has evolved on the use of artificial neural networks (ANN) in time series forecasting. However conventional ANN is limited by its instantaneous...