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:en
Published: University of New Mexico 2019
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Online Access:http://eprints.uthm.edu.my/5084/1/AJ%202020%20%2884%29.pdf
http://eprints.uthm.edu.my/5084/
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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 Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
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
format Article
id my.uthm.eprints-5084
institution Universiti Tun Hussein Onn Malaysia
language en
publishDate 2019
publisher University of New Mexico
record_format eprints
spelling my.uthm.eprints-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/5084/1/AJ%202020%20%2884%29.pdf
http://eprints.uthm.edu.my/5084/
url_provider http://eprints.uthm.edu.my/