Implementation of neutrosophic function memberships using MATLAB program

Membership function (MF) plays a key role for getting an output of a system and hence it influences system’s per-formance directly. Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is usually represented by MFs. In this paper, a novel Matlab cod...

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Main Authors: S., Broumi, D., Nagarajan, A., Bakali, M., Talea, F., Smarandache, M., Lathamaheswari, J., Kavikumar
Format: Article
Language:English
Published: University of New Mexico 2019
Subjects:
Online Access:http://eprints.uthm.edu.my/5084/
http://eprints.uthm.edu.my/5084/1/AJ%202020%20%2884%29.pdf
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author S., Broumi
D., Nagarajan
A., Bakali
M., Talea
F., Smarandache
M., Lathamaheswari
J., Kavikumar
author_facet S., Broumi
D., Nagarajan
A., Bakali
M., Talea
F., Smarandache
M., Lathamaheswari
J., Kavikumar
author_sort S., Broumi
building UTHM Institutional Repository
collection Online Access
description Membership function (MF) plays a key role for getting an output of a system and hence it influences system’s per-formance directly. Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is usually represented by MFs. In this paper, a novel Matlab code is derived for trapezoidal neutrosophic function and the validity of the proposed code is proved with illustrative graphical representation
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institution Universiti Tun Hussein Onn Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:10:37Z
publishDate 2019
publisher University of New Mexico
recordtype eprints
repository_type Digital Repository
spelling uthm-50842022-01-05T05:33:21Z http://eprints.uthm.edu.my/5084/ Implementation of neutrosophic function memberships using MATLAB program S., Broumi D., Nagarajan A., Bakali M., Talea F., Smarandache M., Lathamaheswari J., Kavikumar T Technology (General) TK7800-8360 Electronics Membership function (MF) plays a key role for getting an output of a system and hence it influences system’s per-formance directly. Therefore choosing a MF is an essential task in fuzzy logic and neutrosophic logic as well. Uncertainty is usually represented by MFs. In this paper, a novel Matlab code is derived for trapezoidal neutrosophic function and the validity of the proposed code is proved with illustrative graphical representation University of New Mexico 2019 Article PeerReviewed text en http://eprints.uthm.edu.my/5084/1/AJ%202020%20%2884%29.pdf S., Broumi and D., Nagarajan and A., Bakali and M., Talea and F., Smarandache and M., Lathamaheswari and J., Kavikumar (2019) Implementation of neutrosophic function memberships using MATLAB program. Neutrosophic Sets and Systems, 27. pp. 44-52. ISSN 23316055
spellingShingle T Technology (General)
TK7800-8360 Electronics
S., Broumi
D., Nagarajan
A., Bakali
M., Talea
F., Smarandache
M., Lathamaheswari
J., Kavikumar
Implementation of neutrosophic function memberships using MATLAB program
title Implementation of neutrosophic function memberships using MATLAB program
title_full Implementation of neutrosophic function memberships using MATLAB program
title_fullStr Implementation of neutrosophic function memberships using MATLAB program
title_full_unstemmed Implementation of neutrosophic function memberships using MATLAB program
title_short Implementation of neutrosophic function memberships using MATLAB program
title_sort implementation of neutrosophic function memberships using matlab program
topic T Technology (General)
TK7800-8360 Electronics
url http://eprints.uthm.edu.my/5084/
http://eprints.uthm.edu.my/5084/1/AJ%202020%20%2884%29.pdf