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...

Full description

Saved in:
Bibliographic Details
Main Author: Nor Izzati, Jaini
Format: Thesis
Language:en
Published: 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/20186/1/An%20efficient%20ranking%20analysis%20in%20multi-criteria%20decision%20making.wm.pdf
http://umpir.ump.edu.my/id/eprint/20186/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1831525295013756928
author Nor Izzati, Jaini
author_facet Nor Izzati, Jaini
author_sort Nor Izzati, Jaini
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
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
id my.ump.umpir.20186
institution Universiti Malaysia Pahang
language en
publishDate 2017
record_format eprints
spelling my.ump.umpir.201862023-02-16T07:52:43Z http://umpir.ump.edu.my/id/eprint/20186/ An Efficient Ranking Analysis In Multi-Criteria Decision Making 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 NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20186/1/An%20efficient%20ranking%20analysis%20in%20multi-criteria%20decision%20making.wm.pdf Nor Izzati, Jaini (2017) An Efficient Ranking Analysis In Multi-Criteria Decision Making. PhD thesis, University of Manchester (Contributors, Thesis advisor: V. Utyuzhnikov, Sergei).
spellingShingle QA Mathematics
Nor Izzati, Jaini
An Efficient Ranking Analysis In Multi-Criteria Decision Making
title 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_short An Efficient Ranking Analysis In Multi-Criteria Decision Making
title_sort efficient ranking analysis in multi-criteria decision making
topic QA Mathematics
url http://umpir.ump.edu.my/id/eprint/20186/1/An%20efficient%20ranking%20analysis%20in%20multi-criteria%20decision%20making.wm.pdf
http://umpir.ump.edu.my/id/eprint/20186/
url_provider http://umpir.ump.edu.my/