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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1833351455339184128
author Ali M.A.H.
Mekhilef S.
Yusoff N.
Razak B.A.
author2 57199279259
author_facet 57199279259
Ali M.A.H.
Mekhilef S.
Yusoff N.
Razak B.A.
author_sort Ali M.A.H.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
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)
format Article
id my.uniten.dspace-26700
institution Universiti Tenaga Nasional
publishDate 2023
publisher King Saud bin Abdulaziz University
record_format dspace
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
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
title 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_short 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
url_provider http://dspace.uniten.edu.my/