An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis

Multi-criteria decision making (MCDM). Method is a technique where alternatives or options are assessed based on a set of criteria. Criteria weights determination and ranking of alternatives are two important aspects in solving MCDM problems. The evaluation of criteria importance by decision makers...

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Main Author:	Kamis, Nor Hanimah
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Algebra Fuzzy arithmetic
Online Access:	http://ir.uitm.edu.my/id/eprint/27228/ http://ir.uitm.edu.my/id/eprint/27228/1/TM_NOR%20HANIMAH%20KAMIS%20CS%2009_5.pdf

id	uitm-27228
recordtype	eprints
spelling	uitm-272282020-01-13T08:58:25Z http://ir.uitm.edu.my/id/eprint/27228/ An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis Kamis, Nor Hanimah Algebra Fuzzy arithmetic Multi-criteria decision making (MCDM). Method is a technique where alternatives or options are assessed based on a set of criteria. Criteria weights determination and ranking of alternatives are two important aspects in solving MCDM problems. The evaluation of criteria importance by decision makers and performance rating towards alternatives often involve subjective preferences, which are normally vague and imprecise. This study proposed an improvised algorithm in criteria weights determination based on consistent fuzzy preference relations (CFPR). CFPR requires only (n-l) pair-wise comparisons from a given n criteria as compared to other some existing pairwise-based comparison approaches. We improvised Herrera-Viedma's et. al (2004) algorithm by introducing fuzzy numbers to represent input values for the entries of decision matrix. However, application of fuzzy numbers in representing importance of criteria requires tedious calculation. Therefore, centroid-index formula (Chen & Chen, 2000, 2003) was utilized in order to transform fuzzy numbers into crisp values, which indirectly gives lesser computation. The generalized Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method by Wang and Lee (2007) with some modification on criteria weights determination procedure using our proposed algorithm was employed in ranking the alternatives. An example problem on new staff selection in the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Malaysia is given to demonstrate the computational parts of this proposed model. This model can be used as an alternative tool in solving MCDM problems. 2009 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/27228/1/TM_NOR%20HANIMAH%20KAMIS%20CS%2009_5.pdf Kamis, Nor Hanimah (2009) An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis. Masters thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Algebra Fuzzy arithmetic
spellingShingle	Algebra Fuzzy arithmetic Kamis, Nor Hanimah An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis
description	Multi-criteria decision making (MCDM). Method is a technique where alternatives or options are assessed based on a set of criteria. Criteria weights determination and ranking of alternatives are two important aspects in solving MCDM problems. The evaluation of criteria importance by decision makers and performance rating towards alternatives often involve subjective preferences, which are normally vague and imprecise. This study proposed an improvised algorithm in criteria weights determination based on consistent fuzzy preference relations (CFPR). CFPR requires only (n-l) pair-wise comparisons from a given n criteria as compared to other some existing pairwise-based comparison approaches. We improvised Herrera-Viedma's et. al (2004) algorithm by introducing fuzzy numbers to represent input values for the entries of decision matrix. However, application of fuzzy numbers in representing importance of criteria requires tedious calculation. Therefore, centroid-index formula (Chen & Chen, 2000, 2003) was utilized in order to transform fuzzy numbers into crisp values, which indirectly gives lesser computation. The generalized Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method by Wang and Lee (2007) with some modification on criteria weights determination procedure using our proposed algorithm was employed in ranking the alternatives. An example problem on new staff selection in the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) Malaysia is given to demonstrate the computational parts of this proposed model. This model can be used as an alternative tool in solving MCDM problems.
format	Thesis
author	Kamis, Nor Hanimah
author_facet	Kamis, Nor Hanimah
author_sort	Kamis, Nor Hanimah
title	An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis
title_short	An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis
title_full	An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis
title_fullStr	An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis
title_full_unstemmed	An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis
title_sort	integrated fuzzy approach to solving multi-criteria decision making problems / nor hanimah kamis
publishDate	2009
url	http://ir.uitm.edu.my/id/eprint/27228/ http://ir.uitm.edu.my/id/eprint/27228/1/TM_NOR%20HANIMAH%20KAMIS%20CS%2009_5.pdf
first_indexed	2023-09-18T23:18:03Z
last_indexed	2023-09-18T23:18:03Z
_version_	1777419244888129536

An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis

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