Basic fuzzy arithmetic operations using α–cut for the gaussian membership function

Currently fuzzy set theory has a wide range to model real life problems with incomplete or vague information which perfectly suits the reality and its application is theatrically increasing. This work explored the basic fuzzy operations with the Gaussian Membership using the α-cut method. As it is k...

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Main Authors: Leonce Leandry, Innocent Sosoma, David Koloseni
Format: Article
Language:English
Published: Ayandegan Institute of Higher Education, 2022-10-01
Series:Journal of Fuzzy Extension and Applications
Subjects:
Online Access:https://www.journal-fea.com/article_153240_a2bc1da93313daeeb25f92936855cc77.pdf
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author Leonce Leandry
Innocent Sosoma
David Koloseni
author_facet Leonce Leandry
Innocent Sosoma
David Koloseni
author_sort Leonce Leandry
collection DOAJ
description Currently fuzzy set theory has a wide range to model real life problems with incomplete or vague information which perfectly suits the reality and its application is theatrically increasing. This work explored the basic fuzzy operations with the Gaussian Membership using the α-cut method. As it is known that, the Gaussian membership function has a great role in modelling the fuzzy problems this is what impelled to explore its operation which can further be used in analysis of fuzzy problems. Primarily the basic operations which has been discussed here are addition, subtraction, multiplication, division, reciprocal, exponential, logarithmic and nth power.
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spelling doaj.art-af00352358b24667b342011ed33a63fd2024-06-20T06:45:18ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532022-10-013433734810.22105/jfea.2022.339888.1218153240Basic fuzzy arithmetic operations using α–cut for the gaussian membership functionLeonce Leandry0Innocent Sosoma1David Koloseni2Department of Mathematics, Faculty of Commerce, Jordan University, Morogoro, Tanzania.Department of Mathematics and Computer Science, St Augustine University of Tanzania, Mwanza, Tanzan.Department of Mathematics, University of Dar es Salaam, Dar es salaam, Tanzan.Currently fuzzy set theory has a wide range to model real life problems with incomplete or vague information which perfectly suits the reality and its application is theatrically increasing. This work explored the basic fuzzy operations with the Gaussian Membership using the α-cut method. As it is known that, the Gaussian membership function has a great role in modelling the fuzzy problems this is what impelled to explore its operation which can further be used in analysis of fuzzy problems. Primarily the basic operations which has been discussed here are addition, subtraction, multiplication, division, reciprocal, exponential, logarithmic and nth power.https://www.journal-fea.com/article_153240_a2bc1da93313daeeb25f92936855cc77.pdffuzzy arithmeticα–cut and gaussian membership function
spellingShingle Leonce Leandry
Innocent Sosoma
David Koloseni
Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
Journal of Fuzzy Extension and Applications
fuzzy arithmetic
α–cut and gaussian membership function
title Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
title_full Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
title_fullStr Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
title_full_unstemmed Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
title_short Basic fuzzy arithmetic operations using α–cut for the gaussian membership function
title_sort basic fuzzy arithmetic operations using α cut for the gaussian membership function
topic fuzzy arithmetic
α–cut and gaussian membership function
url https://www.journal-fea.com/article_153240_a2bc1da93313daeeb25f92936855cc77.pdf
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