Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions

A new approach for Fuzzification and Defuzzification processes of a high degree of overlapping between the linguistic variables through proportional and relative-dynamic-scale membership functions is presented in this paper. Most of related works that utilized type-1 and 2 fuzzy logic algorithms are...

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Main Authors: Ali M.A.H., Mekhilef S., Yusoff N., Razak B.A.
Other Authors: 57199279259
Format: Article
Published: King Saud bin Abdulaziz University 2023
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spelling my.uniten.dspace-267002023-05-29T17:36:14Z Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions Ali M.A.H. Mekhilef S. Yusoff N. Razak B.A. 57199279259 57928298500 57213706005 6507317343 A new approach for Fuzzification and Defuzzification processes of a high degree of overlapping between the linguistic variables through proportional and relative-dynamic-scale membership functions is presented in this paper. Most of related works that utilized type-1 and 2 fuzzy logic algorithms are confused and questionable from two points of view: (1) the overlapping between linguistic variables values starts almost from the midst of each other; so, what will be happened if it starts before the midst i.e., increasing the degree of overlapping, - (2) the linguistic variables are commonly represented by symmetrical membership functions form. It has been found that the current type 1 and 2 fuzzy logic are no longer suitable to deal with highly inference between linguistic variables. Thus, a novel algorithm, called laser simulator logic, is introduced in this paper to deal with the issue of highly inference of linguistic variables membership functions, which depends mainly on a proportional and relative-dynamic scale of membership function that will change the scale of membership continuously based on the crisp input/output. Results show that the laser simulator performs better than both type-1 and 2 fuzzy logic when there is a high degree of overlapping between the linguistic variables. � 2022 The Author(s) Final 2023-05-29T09:36:14Z 2023-05-29T09:36:14Z 2022 Article 10.1016/j.jksuci.2022.07.017 2-s2.0-85136040012 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136040012&doi=10.1016%2fj.jksuci.2022.07.017&partnerID=40&md5=23faf3fd5fecb58f939305e03442a0b7 https://irepository.uniten.edu.my/handle/123456789/26700 34 10 8019 8040 All Open Access, Gold King Saud bin Abdulaziz University Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
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country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description A new approach for Fuzzification and Defuzzification processes of a high degree of overlapping between the linguistic variables through proportional and relative-dynamic-scale membership functions is presented in this paper. Most of related works that utilized type-1 and 2 fuzzy logic algorithms are confused and questionable from two points of view: (1) the overlapping between linguistic variables values starts almost from the midst of each other; so, what will be happened if it starts before the midst i.e., increasing the degree of overlapping, - (2) the linguistic variables are commonly represented by symmetrical membership functions form. It has been found that the current type 1 and 2 fuzzy logic are no longer suitable to deal with highly inference between linguistic variables. Thus, a novel algorithm, called laser simulator logic, is introduced in this paper to deal with the issue of highly inference of linguistic variables membership functions, which depends mainly on a proportional and relative-dynamic scale of membership function that will change the scale of membership continuously based on the crisp input/output. Results show that the laser simulator performs better than both type-1 and 2 fuzzy logic when there is a high degree of overlapping between the linguistic variables. � 2022 The Author(s)
author2 57199279259
author_facet 57199279259
Ali M.A.H.
Mekhilef S.
Yusoff N.
Razak B.A.
format Article
author Ali M.A.H.
Mekhilef S.
Yusoff N.
Razak B.A.
spellingShingle Ali M.A.H.
Mekhilef S.
Yusoff N.
Razak B.A.
Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
author_sort Ali M.A.H.
title Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
title_short Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
title_full Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
title_fullStr Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
title_full_unstemmed Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
title_sort laser simulator logic: a novel inference system for highly overlapping of linguistic variable in membership functions
publisher King Saud bin Abdulaziz University
publishDate 2023
_version_ 1806425637868535808
score 13.211869