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Paper Details

Paper Title
A systematic analysis of Non-Singleton Fuzzy Logic Systems: Control with Noisy Inputs
A major asset of fuzzy logic systems is dealing with uncertainties arising in their various applications, thus it is important to make them achieve this task as effectively and comprehensively as possible. While singleton fuzzy logic systems provide some capacity to deal with such uncertainty aspects, non-singleton fuzzy logic systems (NSFLSs) have further enhanced this capacity, particularly in handling input uncertainties. This work broadly aims at removing the black boxed ness of Fuzzy Logic (Non-Singleton type) systems by plotting Fuzzy Basis Functions (FBFs) under different settings of membership functions of inputs, membership functions of antecedents and inference variants. In the initial part of the work, preliminaries define & clarify several issues & concepts connected with Non-Singleton FLSs and the reasons are bought out clearly as to why NSFLSs shall be superior to SFLs in case the Input is noisy. Several differences between SFLs & NSFLs are demonstrated through simulations under different inference schemes, a variety of membership functions of the input variables and the membership functions of antecedents.
Others Details
Paper Id : 20105
Author Name : Shaiqa Nasreen
Co-Author Name(s) : Najma Farooq
Volume/Issue No : Volume 05 Issue 01
Page No : 23-28
DOI Number : DOI:10.21090/IJAERD.20105
Publication Date : 2018-01-05
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
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Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406