Journal
GRANULAR COMPUTING
Volume 3, Issue 1, Pages 9-25Publisher
SPRINGERNATURE
DOI: 10.1007/s41066-017-0052-7
Keywords
Sigmoidal function; Fuzzy number; Arithmetic operations; Distribution function
Funding
- Thapar University under SEED Money Grant [TU/DORSP/57/1910]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available