文章基本信息

标题：Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach
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作者：Muhammad Hamza Azam ; Mohd Hilmi Hasan ; Said Jadid Abdul Kadir 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：2
页码：357-362
DOI：10.14569/IJACSA.2021.0120245
出版社：Science and Information Society (SAI)
摘要：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.
关键词：Fuzzy logics; fuzzy c-means (FCM); Gaussian membership function; prediction; sunspots; triangular membership function