In this paper, we study in-depth certain properties of interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets (A-IFSs). In particular, we study the manner in which to construct different interval-valued fuzzy connectives (or Atanassov’s intuitionistic fuzzy connectives) starting from an operator. We further study the law of contradiction and the law of excluded middle for these se...

Intuitionistic fuzzy preference relation has turned out to be a powerful structure in representing the decision makers’ preference information especially when the decision makers are not able to express their preferences accurately due to the unquantifiable information, incomplete information, unobtainable information, partial ignorance, and so forth. The aim of this paper is to develop some te...

All rights reserved. No part of this publication may be reproduced in any material form (including photocopying or storing in any medium by electronic means and whether or not transiently or incidentally to some other use of this publication) without the written permission of the copyright holder except in accordance with the provisions of the Copyright, Designs and Patents Act 1988 or under th...

Web administrators’ prioritization of several upgrading alternatives with respect to multiple contradictory criteria involve fuzziness and impreciseness of human’s subjective judgements in a Web server system. In this paper, fuzzy concepts are used to enhance the traditional Analytic Hierarchy Process (AHP) which are mainly applied in crisps decision environment. The entropy weight proposed by ...

Two principal semantics have been assigned to the division of fuzzy relations. In the first one, the weights of the divisor are seen as thresholds and in the other, they act as grades of importance. This paper discusses a third approach in which the weights play the role of ideal values. In this context, the notion of a graded inclusion between (fuzzy) sets moves to that of a graded equality. I...

This paper describes Weighted Radial Basis Functions, a neuro-fuzzy uni cation algorithm which mixes Perceptrons and Radial Basis Functions. The algorithm has been tested as a pattern classi er in practical applications. Its performance are compared against those of other neural classi ers. The proposed algorithm has performance comparable or better than other neural algorithms, although it can...

Career guidance for students, particularly in rural areas is a challenging issue in India. In the present era of digitalization, there is a need of an automated system that can analyze a student for his/her capabilities, suggest a career and provide related information. Keeping in mind the requirement, the present paper is an effort in this direction. In this paper, a fuzzy based conceptual fra...

In this paper, a Pseudo-Gaussian-based Recurrent Compensatory Fuzzy Neural Network (PG-RCFNN) is proposed for identification of dynamic systems. The recurrent network is embedded in the PG-RCFNN by adding feedback connections in the second layer, where the feedback units act as memory elements. The compensatorybased fuzzy reasoning method is using adaptive fuzzy operations of fuzzy neural netwo...

A b s t I' act. Maintaining soil productivity is essential if agri­ culture production systems are to be sustainable, thus soil quality is an essential issue. However, there is a paucity of tools for mea­ surement for the purpose ofunderstanding changes in soil quality. Here the possibility of using fuzzy modeling theory as a means to address the problem of soil quality assessment is considered...

Defuzzification converts the final fuzzy output set of fuzzy controller and fuzzy inference systems to a significant crisp value. However, there are various mathematical methods for defuzzification, but there is not any certain systematic method for choosing the best strategy. In this paper, first we explain the structure of a fuzzy inference system and then after a short review of defuzzificat...