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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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主要作者: Kamis, Nor Hanimah
格式: Thesis
語言:English
出版: 2009
主題:
Algebra
Fuzzy arithmetic
在線閱讀:https://ir.uitm.edu.my/id/eprint/27228/1/TM_NOR%20HANIMAH%20KAMIS%20CS%2009_5.pdf
https://ir.uitm.edu.my/id/eprint/27228/
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spelling my.uitm.ir.272282022-06-14T03:57:53Z https://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 https://ir.uitm.edu.my/id/eprint/27228/1/TM_NOR%20HANIMAH%20KAMIS%20CS%2009_5.pdf An integrated fuzzy approach to solving multi-criteria decision making problems / Nor Hanimah Kamis. (2009) Masters thesis, thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
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 https://ir.uitm.edu.my/id/eprint/27228/1/TM_NOR%20HANIMAH%20KAMIS%20CS%2009_5.pdf
https://ir.uitm.edu.my/id/eprint/27228/
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score 13.251813

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