The resilient supplier selection is a complex multi-criteria decisionmaking problem involving both quantitative and qualitative factors which may be in conflict and may also be uncertain. In this context, a fuzzy based Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method has been proposed to deal with inaccurate, incomplete and imperfect information of expert judgment....

We characterize the convergence of fuzzy sets in the supremum metric given by the supremum of the Hausdorff distances of the α-cuts of the fuzzy sets. We do it by dividing this metric into its lower and upper quasipseudometric parts. This characterization is given in the more general context with no assumption on the fuzzy sets. Furthermore, motivated from the theory of Convex Analysis, we also...

Assessment of reliability analysis of paper plant with fuzzy logic technique has carried out in this paper. Fuzzy Weibull distribution and lifetime of a component is also determined. The paper plant is a complex system under consideration which consists of various subsystems such as chipping, feeding, pulp preparation, washing, screening, bleaching and paper production etc. The mathematical mod...

A key problem in behavior based control is to coordinate conflicts and competitions among multiple reactive behaviors. This paper presents a new method for behavior fusion for robot navigation in uncertain environments using fuzzy logic. The inputs to the proposed fuzzy control scheme consist of a heading angle between a robot and a specified target and the distances between the robot and the o...

In this article a modification of the algorithm of the fuzzy ART network, aiming at returning it supervised is carried out. It consists of the search for the comparison, training and vigilance parameters giving the minimum quadratic distances between the output of the training base and those obtained by the network. The same process is applied for the determination of the parameters of the fuzz...

Recently, a new model based on Pythagorean fuzzy set (PFS) has been presented to manage the uncertainty in real-world decision-making problems. PFS has much stronger ability than intuitionistic fuzzy set to model such uncertainty. In this paper, we define some novel operational laws of PFSs and discuss their desirable properties. For the multicriteria decision-making problems with PFSs, we prop...

with conventional expert systems, it is clear that 1) 2) 3) AARS can reduce the size of the rule base; AARS uses linguistic variables rather than quantitative variables; AARS increases the system's flexibility. In future research, we expect to 1) associate observation P,' and rule R , with certainty factors CF, and CF, and derive a certainty factor for consequent experiment with other forms of ...

Hierarchy plays a crucial role in the development of the granular computing(GrC). Presently, a lot of hierarchies have been studied for characterizing the finer or coarser relationships among information granulations, which are derived from the crisp binary relations. To further improve the existing results, not only the fuzzy information granulations derived from the fuzzy binary relations are...

The Fuzzy Hyperline Segment Neural Network (FHLSNN) pattern classifier utilizes fuzzy set as pattern classes in which each fuzzy set is a union of fuzzy set hyperline segments. The Euclidean distance metric is used to compute the distances to decide the degree of membership function. In this paper, the use of other various distance metrics such as Manhattan, Squared Euclidean, Canberra and Cheb...