A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems

Neutrosophic (NS) set hypothesis gives another way to deal with the vulnerabilities of the shortest path problems (SPP). Several researchers have worked on fuzzy shortest path problem (FSPP) in a fuzzy graph with vulnerability data and completely different applications in real world eventualities. H...

Full description

Bibliographic Details
Main Authors: Ranjan Kumar, S A Edalatpanah, Sripati Jha, S. Broumi, Ramayan Singh, Arindam Dey
Format: Article
Language:English
Published: University of New Mexico 2019-03-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:http://fs.unm.edu/NSS/AMultiObjectiveProgrammingApproach.pdf
_version_ 1818276055958421504
author Ranjan Kumar
S A Edalatpanah
Sripati Jha
S. Broumi
Ramayan Singh
Arindam Dey
author_facet Ranjan Kumar
S A Edalatpanah
Sripati Jha
S. Broumi
Ramayan Singh
Arindam Dey
author_sort Ranjan Kumar
collection DOAJ
description Neutrosophic (NS) set hypothesis gives another way to deal with the vulnerabilities of the shortest path problems (SPP). Several researchers have worked on fuzzy shortest path problem (FSPP) in a fuzzy graph with vulnerability data and completely different applications in real world eventualities. However, the uncertainty related to the inconsistent information and indeterminate information isn't properly expressed by fuzzy set. The neutrosophic set deals these forms of uncertainty. This paper presents a model for shortest path problem with various arrangements of integer-valued trapezoidal neutrosophic (INVTpNS) and integer-valued triangular neutrosophic (INVTrNS). We characterized this issue as Neutrosophic Shortest way problem (NSSPP). The established linear programming (LP) model solves the classical SPP that consists of crisp parameters.
first_indexed 2024-12-12T22:39:34Z
format Article
id doaj.art-2ff6a9560285416eb63ac8ca93fc100b
institution Directory Open Access Journal
issn 2331-6055
2331-608X
language English
last_indexed 2024-12-12T22:39:34Z
publishDate 2019-03-01
publisher University of New Mexico
record_format Article
series Neutrosophic Sets and Systems
spelling doaj.art-2ff6a9560285416eb63ac8ca93fc100b2022-12-22T00:09:21ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2019-03-012413414910.5281/zenodo.2595968A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path ProblemsRanjan KumarS A EdalatpanahSripati JhaS. BroumiRamayan SinghArindam DeyNeutrosophic (NS) set hypothesis gives another way to deal with the vulnerabilities of the shortest path problems (SPP). Several researchers have worked on fuzzy shortest path problem (FSPP) in a fuzzy graph with vulnerability data and completely different applications in real world eventualities. However, the uncertainty related to the inconsistent information and indeterminate information isn't properly expressed by fuzzy set. The neutrosophic set deals these forms of uncertainty. This paper presents a model for shortest path problem with various arrangements of integer-valued trapezoidal neutrosophic (INVTpNS) and integer-valued triangular neutrosophic (INVTrNS). We characterized this issue as Neutrosophic Shortest way problem (NSSPP). The established linear programming (LP) model solves the classical SPP that consists of crisp parameters.http://fs.unm.edu/NSS/AMultiObjectiveProgrammingApproach.pdfoptimization techniqueshortest path problemnetwork distributionTriangular neutrosophic fuzzy numbers
spellingShingle Ranjan Kumar
S A Edalatpanah
Sripati Jha
S. Broumi
Ramayan Singh
Arindam Dey
A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems
Neutrosophic Sets and Systems
optimization technique
shortest path problem
network distribution
Triangular neutrosophic fuzzy numbers
title A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems
title_full A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems
title_fullStr A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems
title_full_unstemmed A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems
title_short A Multi Objective Programming Approach to Solve Integer Valued Neutrosophic Shortest Path Problems
title_sort multi objective programming approach to solve integer valued neutrosophic shortest path problems
topic optimization technique
shortest path problem
network distribution
Triangular neutrosophic fuzzy numbers
url http://fs.unm.edu/NSS/AMultiObjectiveProgrammingApproach.pdf
work_keys_str_mv AT ranjankumar amultiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT saedalatpanah amultiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT sripatijha amultiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT sbroumi amultiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT ramayansingh amultiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT arindamdey amultiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT ranjankumar multiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT saedalatpanah multiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT sripatijha multiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT sbroumi multiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT ramayansingh multiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems
AT arindamdey multiobjectiveprogrammingapproachtosolveintegervaluedneutrosophicshortestpathproblems