Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method

This paper introduces the hybrid of Potential Method (PM) and Graph Theory and Matrix Approach (GTMA) to surmount the issues in the existing hybrid of Analytic Hierarchy Process (AHP) and Graph Theory and Matrix Approach (GTMA) concerning the complexity of the calculation of the weight of the attrib...

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Published in:AIP Conference Proceedings
Main Author: Bakar S.A.; Mohd Noor N.S.
Format: Conference paper
Language:English
Published: American Institute of Physics Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182573534&doi=10.1063%2f5.0171727&partnerID=40&md5=53e2fe5d23270a4c825e56ea7650c84e
id 2-s2.0-85182573534
spelling 2-s2.0-85182573534
Bakar S.A.; Mohd Noor N.S.
Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
2024
AIP Conference Proceedings
2905
1
10.1063/5.0171727
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182573534&doi=10.1063%2f5.0171727&partnerID=40&md5=53e2fe5d23270a4c825e56ea7650c84e
This paper introduces the hybrid of Potential Method (PM) and Graph Theory and Matrix Approach (GTMA) to surmount the issues in the existing hybrid of Analytic Hierarchy Process (AHP) and Graph Theory and Matrix Approach (GTMA) concerning the complexity of the calculation of the weight of the attributes when involving many attributes, no visualization of the relationship between attributes and complex calculation of ranking order of attributes for missing information. Subsequently, the implementation of the proposed method is utilized in the fuel selection problem in solving two issues namely complexity in pairwise comparison and missing information. Besides, the proposed method could surmount the complexity in pairwise comparison and deal well with missing information in providing the ranking order of alternatives. Finally, the results obtained indicate that the method could be utilized for ranking purposes in Multi-Criteria Decision Making (MCDM) problem. © 2024 Author(s).
American Institute of Physics Inc.
0094243X
English
Conference paper

author Bakar S.A.; Mohd Noor N.S.
spellingShingle Bakar S.A.; Mohd Noor N.S.
Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
author_facet Bakar S.A.; Mohd Noor N.S.
author_sort Bakar S.A.; Mohd Noor N.S.
title Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
title_short Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
title_full Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
title_fullStr Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
title_full_unstemmed Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
title_sort Modelling the decision of fuel selection problem using hybrid graph theory and matrix approach and potential method
publishDate 2024
container_title AIP Conference Proceedings
container_volume 2905
container_issue 1
doi_str_mv 10.1063/5.0171727
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182573534&doi=10.1063%2f5.0171727&partnerID=40&md5=53e2fe5d23270a4c825e56ea7650c84e
description This paper introduces the hybrid of Potential Method (PM) and Graph Theory and Matrix Approach (GTMA) to surmount the issues in the existing hybrid of Analytic Hierarchy Process (AHP) and Graph Theory and Matrix Approach (GTMA) concerning the complexity of the calculation of the weight of the attributes when involving many attributes, no visualization of the relationship between attributes and complex calculation of ranking order of attributes for missing information. Subsequently, the implementation of the proposed method is utilized in the fuel selection problem in solving two issues namely complexity in pairwise comparison and missing information. Besides, the proposed method could surmount the complexity in pairwise comparison and deal well with missing information in providing the ranking order of alternatives. Finally, the results obtained indicate that the method could be utilized for ranking purposes in Multi-Criteria Decision Making (MCDM) problem. © 2024 Author(s).
publisher American Institute of Physics Inc.
issn 0094243X
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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