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Issues with Reliability of Fuzzy Logic

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Issues with Reliability of Fuzzy Logic

Graeme Heald


Graeme Heald "Issues with Reliability of Fuzzy Logic" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6, October 2018, pp.829-834, URL: https://www.ijtsrd.com/papers/ijtsrd18573.pdf

Since 1973, fuzzy logic has been rejected by a majority of linguists as a theory for dealing with vagueness in natural language. However, control engineers apply fuzzy vagueness in natural language to control system problems. A real world example of automatic fan control has shown that: i) fuzzy logic can be applied ii) probability theory can better model the control system iii) Boolean algebra with decision processes can also be applied. In addition, a redundancy issue for fuzzy logic has been raised. Moreover, a number of inherent flaws of fuzzy logic from an engineering viewpoint have been identified: i) fuzzy logic as probability ii) fuzzy conjunction iii) fuzzy disjunction iv) fuzzy inference engine v) fuzzy membership function. Fuzzy logic has been found to be an approximate model of probability, however, when viewed as probability fuzzy logical operations of OR and AND provide incorrect responses. Fuzzy inference will also fail when fuzzy logical operations are applied. Some theorists have attempted to fix the flaws of fuzzy logic in a system termed „Compensatory Fuzzy Logic?, but the rules of CFL are ad hoc. As a result of the reliability and robustness concerns in fuzzy systems, safety may be compromised.

fuzzy logic, control engineering, fuzzy membership function, probability, reliability, safety

Volume-2 | Issue-6, October 2018
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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