relation: https://khub.utp.edu.my/scholars/15841/
title: Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach
creator: Azam, M.H.
creator: Hasan, M.H.
creator: Abdul Kadir, S.J.
creator: Hassan, S.
description: Fuzzy logic is an algorithm that works on �degree of truth�, instead of the conventional crisp logic where the possible answer can be 1 or 0. Fuzzy logic resembles human thinking as it considers all the possible outcomes between 1 and 0 and it tries to reflect reality. Generation of membership functions is the key factor of fuzzy logic. An approach for generating fuzzy gaussian and triangular membership function using fuzzy c-means is considered in this research. The problem related to sunspot prediction is considered and its accuracy is calculated. It is evident from the results that the proposed technique of generating membership functions using fuzzy c-means can be adopted for predicting sunspots. © 2021. All Rights Reserved.
publisher: Science and Information Organization
date: 2021
type: Article
type: PeerReviewed
identifier:   Azam, M.H. and Hasan, M.H. and Abdul Kadir, S.J. and Hassan, S.  (2021) Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach.  International Journal of Advanced Computer Science and Applications, 12 (2).  pp. 357-362.  ISSN 2158107X     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102044310&doi=10.14569%2fIJACSA.2021.0120245&partnerID=40&md5=058602573753bdc31a6560b1bb359a21
relation: 10.14569/IJACSA.2021.0120245
identifier: 10.14569/IJACSA.2021.0120245