Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah

It has become a rising concern nowadays where a reliable subjective evaluation performance is necessary in order to measure the level of performance in an organization. Thus, this research begins with analyzing the fuzzy evaluation, including fuzzy rule extraction methods, weight generation method a...

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Main Author:	Amir Hamzah, Shezrin Hawani
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Computer literacy Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/15680/1/TM_SHEZRIN%20HAWANI%20AMIR%20HAMZAH%20CS%2015_5.pdf
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id	my-uitm-ir.15680
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spelling	my-uitm-ir.156802022-03-09T08:56:41Z Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah 2015 Amir Hamzah, Shezrin Hawani Computer literacy Fuzzy logic It has become a rising concern nowadays where a reliable subjective evaluation performance is necessary in order to measure the level of performance in an organization. Thus, this research begins with analyzing the fuzzy evaluation, including fuzzy rule extraction methods, weight generation method and normalization method available in the literature. Fuzzy approach has been applied in some of the previous studies used in assessment and evaluation methods. However the drawback of the fuzzy subjective evaluation method in using rules and weight has been proposed based on the expert’s view. They failed to integrate or ensure they meet the organization objective in the evaluation process. Hence, the aims of this thesis are to make an enhancement on the existing subjective evaluation method by Othman et al. (2008) and to introduce three main elements which are weight generation, rule extraction method and normalization method in subjective evaluation method. In the second stage of the thesis, five data sets from previous studies were used to validate the subjective evaluation method. The research experiment analyzed the properties of fuzzy rules generated in terms of the total number of rules, size and length. The normalization method was used for all types of data and weight generation method from data collection. The results of the analysis have shown that the consistency of ranking was validated by comparing the performance of the proposed method to several subjective evaluation methods. Hence, the proposed method was able to produce comparable results in fuzzy environments, tn conclusion, the proposed enhanced fuzzy subjective evaluation method offered another alternative framework with efficient approach towards evaluation process. This will contribute to a better evaluating process which reduces the need of human thinking, thus saves costs, reduces time, and helps to increase the high consistency. 2015 Thesis https://ir.uitm.edu.my/id/eprint/15680/ https://ir.uitm.edu.my/id/eprint/15680/1/TM_SHEZRIN%20HAWANI%20AMIR%20HAMZAH%20CS%2015_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Computer & Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Computer literacy Fuzzy logic
spellingShingle	Computer literacy Fuzzy logic Amir Hamzah, Shezrin Hawani Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
description	It has become a rising concern nowadays where a reliable subjective evaluation performance is necessary in order to measure the level of performance in an organization. Thus, this research begins with analyzing the fuzzy evaluation, including fuzzy rule extraction methods, weight generation method and normalization method available in the literature. Fuzzy approach has been applied in some of the previous studies used in assessment and evaluation methods. However the drawback of the fuzzy subjective evaluation method in using rules and weight has been proposed based on the expert’s view. They failed to integrate or ensure they meet the organization objective in the evaluation process. Hence, the aims of this thesis are to make an enhancement on the existing subjective evaluation method by Othman et al. (2008) and to introduce three main elements which are weight generation, rule extraction method and normalization method in subjective evaluation method. In the second stage of the thesis, five data sets from previous studies were used to validate the subjective evaluation method. The research experiment analyzed the properties of fuzzy rules generated in terms of the total number of rules, size and length. The normalization method was used for all types of data and weight generation method from data collection. The results of the analysis have shown that the consistency of ranking was validated by comparing the performance of the proposed method to several subjective evaluation methods. Hence, the proposed method was able to produce comparable results in fuzzy environments, tn conclusion, the proposed enhanced fuzzy subjective evaluation method offered another alternative framework with efficient approach towards evaluation process. This will contribute to a better evaluating process which reduces the need of human thinking, thus saves costs, reduces time, and helps to increase the high consistency.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Amir Hamzah, Shezrin Hawani
author_facet	Amir Hamzah, Shezrin Hawani
author_sort	Amir Hamzah, Shezrin Hawani
title	Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
title_short	Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
title_full	Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
title_fullStr	Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
title_full_unstemmed	Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah
title_sort	enhanced fuzzy subjective evaluation method / shezrin hawani amir hamzah
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/15680/1/TM_SHEZRIN%20HAWANI%20AMIR%20HAMZAH%20CS%2015_5.pdf
_version_	1783733442682290176

Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah

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