JINAV: Journal of Information and Visualization
Vol. 1 No. 2 (2020)

Evaluation of approximate Fuzzy Membership Function using Linguistic Input-an Approached Based on Cubic Spline

Stabania Chowdhury (Unknown)
Kar, Rahul (Unknown)

Article Info

Publish Date
20 Nov 2020

Abstract

Fuzzy logic systems have found extensive use in system identification, decision making, and pattern recognition problems from industries to academics. The membership functions play a pivotal role in overall role in fuzzy representation, as these are considered as the building blocks of fuzzy set theory and they decide the degree of truth in fuzzy logic. The extraction of the membership function is ambience dependent and thus complication exists in the process of evaluation. In this assessment the main work deals with the derivation of fuzzy membership function where numerical data is available. The numerical cubic spline and defuzzification technique are used here. In this paper we mainly used triangular fuzzy number to construct the membership function. A case study is furnished to emphasize the advantage of adopting the method.

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Journal Info
JINAV: Journal of Information and Visualization
Website

Abbrev

jinav

Publisher

PT. Mattawang Mediatama Solution

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics

Description

JINAV: Journal of Information and Visualization is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of information science and technology, data, knowledge, communication, and their visualization. The journal publishes ...