Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan

Decision making is a process of choosing the best alternatives from available options. A group decision making involves the evaluation of alternatives or criteria from multiexpert preferences. Each decision makers have their own knowledge and opinion to make an assessment. This will increase the com...

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Main Author:	Mohd Ridzuan, Siti Amnah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/67525/1/67525.pdf
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id	my-uitm-ir.67525
record_format	uketd_dc
spelling	my-uitm-ir.675252023-01-11T03:43:59Z Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan 2017 Mohd Ridzuan, Siti Amnah Algorithms Decision making is a process of choosing the best alternatives from available options. A group decision making involves the evaluation of alternatives or criteria from multiexpert preferences. Each decision makers have their own knowledge and opinion to make an assessment. This will increase the complexity in computation. Two new decision making models have been developed in this study, the first is the combination of multi-granular linguistic information using fusion algorithm and consistent fuzzy preference relations (CFPR) and the second one is the combination of multi-granular uncertain linguistic information and consistent linguistic fuzzy preference relations (CLFPR) to cater this problem. These proposed methods are able to evaluate the alternatives or criteria based on the different opinion with different assessment measurement and also able to minimize the number of pair-wise comparisons when the number of criteria increase. Fusion approach is utilized in order to manage multigranular linguistic information involved in the consistent fuzzy preference relations (CFPR). The multi-granular linguistic information will be aggregated into CFPR values and the final ranking of the alternatives can be determined efficiently. While for multigranular uncertain linguistic information, the evaluation will be aggregated into CLFPR values and the final preference of the alternative will be determined using a method of ranking fuzzy numbers. Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem. 2017 Thesis https://ir.uitm.edu.my/id/eprint/67525/ https://ir.uitm.edu.my/id/eprint/67525/1/67525.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Algorithms
spellingShingle	Algorithms Mohd Ridzuan, Siti Amnah Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
description	Decision making is a process of choosing the best alternatives from available options. A group decision making involves the evaluation of alternatives or criteria from multiexpert preferences. Each decision makers have their own knowledge and opinion to make an assessment. This will increase the complexity in computation. Two new decision making models have been developed in this study, the first is the combination of multi-granular linguistic information using fusion algorithm and consistent fuzzy preference relations (CFPR) and the second one is the combination of multi-granular uncertain linguistic information and consistent linguistic fuzzy preference relations (CLFPR) to cater this problem. These proposed methods are able to evaluate the alternatives or criteria based on the different opinion with different assessment measurement and also able to minimize the number of pair-wise comparisons when the number of criteria increase. Fusion approach is utilized in order to manage multigranular linguistic information involved in the consistent fuzzy preference relations (CFPR). The multi-granular linguistic information will be aggregated into CFPR values and the final ranking of the alternatives can be determined efficiently. While for multigranular uncertain linguistic information, the evaluation will be aggregated into CLFPR values and the final preference of the alternative will be determined using a method of ranking fuzzy numbers. Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem.
format	Thesis
qualification_level	Master's degree
author	Mohd Ridzuan, Siti Amnah
author_facet	Mohd Ridzuan, Siti Amnah
author_sort	Mohd Ridzuan, Siti Amnah
title	Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
title_short	Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
title_full	Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
title_fullStr	Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
title_full_unstemmed	Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan
title_sort	hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / siti amnah mohd ridzuan
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/67525/1/67525.pdf
_version_	1783735695061286912

Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan

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