TY  - JOUR
AV  - none
N2  - Fuzzy logic is an algorithm that works on â??degree of truthâ??, 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.
VL  - 12
JF  - International Journal of Advanced Computer Science and Applications
KW  - Computer circuits; Forecasting; Fuzzy systems; Membership functions
KW  -  Crisp logic; Fuzzy c-mean; Fuzzy-c means; Fuzzy-Logic; Gaussian membership function; Human thinking; Key factors; Memberships function; Sunspot; Triangular membership functions
KW  -  Fuzzy logic
EP  - 362
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102044310&doi=10.14569%2fIJACSA.2021.0120245&partnerID=40&md5=058602573753bdc31a6560b1bb359a21
PB  - Science and Information Organization
N1  - cited By 5
SP  - 357
IS  - 2
TI  - Prediction of Sunspots using Fuzzy Logic: A Triangular Membership Function-based Fuzzy C-Means Approach
SN  - 2158107X
ID  - scholars15841
A1  - Azam, M.H.
A1  - Hasan, M.H.
A1  - Abdul Kadir, S.J.
A1  - Hassan, S.
Y1  - 2021///
ER  -