An Efficient Ranking Analysis In Multi-Criteria Decision Making

This study is conducted with the aims to develop a new ranking method for multi-criteria decision making problem with conflicting criteria. Such a problem has a set of Pareto solutions, where the act of improving a value of one solution will result in depreciating some of the others. Thus, in this t...

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Main Author: Nor Izzati, Jaini
Format: Thesis
Language:English
Published: 2017
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Online Access:http://umpir.ump.edu.my/id/eprint/20186/1/An%20efficient%20ranking%20analysis%20in%20multi-criteria%20decision%20making.wm.pdf
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spelling my-ump-ir.201862023-02-16T07:52:43Z An Efficient Ranking Analysis In Multi-Criteria Decision Making 2017 Nor Izzati, Jaini QA Mathematics This study is conducted with the aims to develop a new ranking method for multi-criteria decision making problem with conflicting criteria. Such a problem has a set of Pareto solutions, where the act of improving a value of one solution will result in depreciating some of the others. Thus, in this type of problem, there is no unique solution. However, out of many available options, the Decision Maker eventually has to choose only one solution. With this problem as the motivation, the current study develops a compromise ranking algorithm, namely a trade-off ranking method. The trade-off ranking method able to give a trade-off solution with the least compromise compared to other choices as the best solution. The properties of the algorithm are studied in the thesis on several test cases. The proposed method is compared against several multi-criteria decision making methods with ranking based on the distance measure, which are the TOPSIS, relative distance and VIKOR. The sensitivity analysis and uncertainty test are carried out to examine the methods robustness. A critical criteria analysis is also done to test for the most critical criterion in a multi-criteria problem. The decision making method is considered further in a fuzzy environment problem where the fuzzy trade-off ranking is developed and compared against existing fuzzy decision making methods. 2017 Thesis http://umpir.ump.edu.my/id/eprint/20186/ http://umpir.ump.edu.my/id/eprint/20186/1/An%20efficient%20ranking%20analysis%20in%20multi-criteria%20decision%20making.wm.pdf pdf en public phd doctoral University of Manchester School of Mechanical, Aerospace and Civil Engineering V. Utyuzhnikov, Sergei Ministry of Higher Education Malaysia
institution Universiti Malaysia Pahang Al-Sultan Abdullah
collection UMPSA Institutional Repository
language English
advisor V. Utyuzhnikov, Sergei
topic QA Mathematics
spellingShingle QA Mathematics
Nor Izzati, Jaini
An Efficient Ranking Analysis In Multi-Criteria Decision Making
description This study is conducted with the aims to develop a new ranking method for multi-criteria decision making problem with conflicting criteria. Such a problem has a set of Pareto solutions, where the act of improving a value of one solution will result in depreciating some of the others. Thus, in this type of problem, there is no unique solution. However, out of many available options, the Decision Maker eventually has to choose only one solution. With this problem as the motivation, the current study develops a compromise ranking algorithm, namely a trade-off ranking method. The trade-off ranking method able to give a trade-off solution with the least compromise compared to other choices as the best solution. The properties of the algorithm are studied in the thesis on several test cases. The proposed method is compared against several multi-criteria decision making methods with ranking based on the distance measure, which are the TOPSIS, relative distance and VIKOR. The sensitivity analysis and uncertainty test are carried out to examine the methods robustness. A critical criteria analysis is also done to test for the most critical criterion in a multi-criteria problem. The decision making method is considered further in a fuzzy environment problem where the fuzzy trade-off ranking is developed and compared against existing fuzzy decision making methods.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Nor Izzati, Jaini
author_facet Nor Izzati, Jaini
author_sort Nor Izzati, Jaini
title An Efficient Ranking Analysis In Multi-Criteria Decision Making
title_short An Efficient Ranking Analysis In Multi-Criteria Decision Making
title_full An Efficient Ranking Analysis In Multi-Criteria Decision Making
title_fullStr An Efficient Ranking Analysis In Multi-Criteria Decision Making
title_full_unstemmed An Efficient Ranking Analysis In Multi-Criteria Decision Making
title_sort efficient ranking analysis in multi-criteria decision making
granting_institution University of Manchester
granting_department School of Mechanical, Aerospace and Civil Engineering
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/20186/1/An%20efficient%20ranking%20analysis%20in%20multi-criteria%20decision%20making.wm.pdf
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