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
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Online Access:https://ir.uitm.edu.my/id/eprint/15680/1/TM_SHEZRIN%20HAWANI%20AMIR%20HAMZAH%20CS%2015_5.pdf
https://ir.uitm.edu.my/id/eprint/15680/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.15680
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spelling my.uitm.ir.156802022-03-09T08:56:41Z https://ir.uitm.edu.my/id/eprint/15680/ Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/15680/1/TM_SHEZRIN%20HAWANI%20AMIR%20HAMZAH%20CS%2015_5.pdf ID15680 Amir Hamzah, Shezrin Hawani (2015) Enhanced fuzzy subjective evaluation method / Shezrin Hawani Amir Hamzah. 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 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
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
publishDate 2015
url https://ir.uitm.edu.my/id/eprint/15680/1/TM_SHEZRIN%20HAWANI%20AMIR%20HAMZAH%20CS%2015_5.pdf
https://ir.uitm.edu.my/id/eprint/15680/
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