The multiobjective two person matrix game problem with fuzzy payoffs is considered in this paper. It is assumed that fuzzy payoffs are triangular fuzzy numbers. The problem is converted to several multiobjective matrix game problems with interval payoffs by using the $alpha$-cuts of fuzzy payoffs. By solving these problems some $alpha$-Pareto optimal strategies with some interval outcomes are o...

Abstract. A new method is proposed to solve the interactive group decision making problem in which the preference information takes the form of intuitionistic fuzzy preference relations. Firstly, we aggregate all individual intuitionistic fuzzy preference relations into a collective one. Then, a method to determine the experts’ weights by utilizing the compatibility measures of the individual i...

The objective of this article is to present the design method of a hierarchical driver aid which is designed to guide the driver of a vehicle to perform parallel parking maneuver. The development philosophy of the system is based on biomimetic model where the designer of the model does not need to be aware of either vehicle dynamics or kinematics. The developed system is based on fuzzy logic an...

Image Denoising is one of the existing problems in research area. This paper presents an interactive algorithm for image Denoising and segmentation. This paper explains the task of segmenting any given color image using soft computing techniques. The segmentation techniques used are Fuzzy Clustering (FC), Fuzzy C Means (FCM) clustering and Convolutional Networks (CN). After the image is segment...

High-dimensional and high-resolution image data is increasingly produced by modern medical imaging equipment. As a consequence, the need for efficient interactive tools for segmentation and visualization of these medical images is also increasing. Existing software include state-of-the-art algorithms, but in most cases the interaction part is limited to 2D mouse/keyboard, despite the tasks bein...

Fuzzy cognitive maps belong to emerging approaches used for various tasks in artificial intelligence. They are especially useful for solving the problem of navigation of vehicles as fuzzy systems are very robust in general. Therefore, they are suitable for the real world applications. One of disadvantages of fuzzy systems is their inability to learn. In this paper, we propose the use of fuzzy c...

in this paper, the portfolio selection problem is considered, where fuzziness and randomness appear simultaneously in optimization process. since return and dividend play an important role in such problems, a new model is developed in a mixed environment by incorporating fuzzy random variable as multi-objective nonlinear model. then a novel interactive approach is proposed to determine the pref...

In this paper, a Fuzzy Prolog is introduced that is based on the fuzzy resolution principle. There are three levels of concern: (1) the f u z ~ truth values of predicates that depend on several values of individual variables, (2) the weights of rules that depend on several fuzzy truth values of premise and conclusion, and (3) the confidence of resolvent that depends on the fuzzy resolution prin...