期刊
GRANULAR COMPUTING
卷 3, 期 1, 页码 9-25出版社
SPRINGERNATURE
DOI: 10.1007/s41066-017-0052-7
关键词
Sigmoidal function; Fuzzy number; Arithmetic operations; Distribution function
资金
- Thapar University under SEED Money Grant [TU/DORSP/57/1910]
The objective of this work is to present an alternative method, under the fuzzy environment, for computing the various arithmetic operations of a system using the sigmoidal number. In the literature, authors have used the linear membership function using alpha -cut approach for finding the membership function of the system, but in the present study, a nonlinear membership function has been taken in the study. The major advantage of the proposed operations is that they do not need the computation of alpha -cuts of the number and hence becomes successful to solve the real-life problems. The approach has been illustrated with some elementary examples and compared their results with some of the existing approaches.
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