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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American Institute of Physics Inc.
2024
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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 |
_version_ |
1809677883783774208 |