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 pre-sented in this paper. Most of related works that utilized type-1 and 2 fuzzy logic algorithms ar...

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Main Authors: Ali, Mohammed A. H., Mekhilef, Saad, Yusoff, Nukman, Abd Razak, Bushroa
Format: Article
Published: ELSEVIER 2022
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Online Access:http://eprints.um.edu.my/46173/
https://doi.org/10.1016/j.jksuci.2022.07.017
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spelling my.um.eprints.461732024-10-25T03:01:27Z http://eprints.um.edu.my/46173/ Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions Ali, Mohammed A. H. Mekhilef, Saad Yusoff, Nukman Abd Razak, Bushroa TK Electrical engineering. Electronics Nuclear engineering 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 pre-sented 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 mem-bership 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 member-ship functions, which depends mainly on a proportional and relative-dynamic scale of membership func-tion 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.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ELSEVIER 2022-11 Article PeerReviewed Ali, Mohammed A. H. and Mekhilef, Saad and Yusoff, Nukman and Abd Razak, Bushroa (2022) Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 34 (10, A). pp. 8019-8040. ISSN 2213-1248, DOI https://doi.org/10.1016/j.jksuci.2022.07.017 <https://doi.org/10.1016/j.jksuci.2022.07.017>. https://doi.org/10.1016/j.jksuci.2022.07.017 10.1016/j.jksuci.2022.07.017
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ali, Mohammed A. H.
Mekhilef, Saad
Yusoff, Nukman
Abd Razak, Bushroa
Laser simulator logic: A novel inference system for highly overlapping of linguistic variable in membership functions
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 pre-sented 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 mem-bership 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 member-ship functions, which depends mainly on a proportional and relative-dynamic scale of membership func-tion 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.(c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
format Article
author Ali, Mohammed A. H.
Mekhilef, Saad
Yusoff, Nukman
Abd Razak, Bushroa
author_facet Ali, Mohammed A. H.
Mekhilef, Saad
Yusoff, Nukman
Abd Razak, Bushroa
author_sort Ali, Mohammed 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 ELSEVIER
publishDate 2022
url http://eprints.um.edu.my/46173/
https://doi.org/10.1016/j.jksuci.2022.07.017
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score 13.211869