A Framework of Subjective Performance Evaluation Using Fuzzy Technique

This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the attributes of different types of datasets under a multi-criteria environment. Some previous studies on fuzzy techniques have been attempted in assessment and evaluation methods. The techn...

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Main Author:	Mahmod, Othman
Format:	Thesis
Language:	eng eng
Published:	2005
Subjects:	QA Mathematics
Online Access:	https://etd.uum.edu.my/1258/1/MAHMOD_OTHMAN.pdf https://etd.uum.edu.my/1258/2/1.MAHMOD_OTHMAN.pdf
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id	my-uum-etd.1258
record_format	uketd_dc
spelling	my-uum-etd.12582013-07-24T12:11:09Z A Framework of Subjective Performance Evaluation Using Fuzzy Technique 2005 Mahmod, Othman Sekolah Siswazah Centre for Graduate Studies QA Mathematics This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the attributes of different types of datasets under a multi-criteria environment. Some previous studies on fuzzy techniques have been attempted in assessment and evaluation methods. The techniques such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted in these fuzzy evaluation methods. However, research that discover a scaling measurement which can express the subjectivity element and integrate the organisation‘s objectives and goals into the evaluation processes by utilising the fuzzy rule in the subjective evaluation method seem limited. Hence, this framework uses the application of fuzzy sets, and approximate reasoning to determine the performance evaluation of various characteristics in decision-making. The framework based upon fuzzy sets has initiated the idea of membership set score valued evaluation of each criterion alternative enables to include requirements which are incomplete and imprecise. The approximate reasoning of the method allows decision maker to make the best choice in accordance of human thinking and reasoning processes. The method introduces an approach of normalising data using similarity function which dampens the extreme value that exists in the data. The framework is suitable for dealing with evaluations in situations that involve subjectivity, vagueness and imprecise information, such as the grading system of evaluation which involves subjectivity, vagueness and imprecise information, such as the grading system evaluation which involves many hedges like "good", "bad" and "satisfactory". 2005 Thesis https://etd.uum.edu.my/1258/ https://etd.uum.edu.my/1258/1/MAHMOD_OTHMAN.pdf application/pdf eng validuser https://etd.uum.edu.my/1258/2/1.MAHMOD_OTHMAN.pdf application/pdf eng public Ph.D. doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA Mathematics
spellingShingle	QA Mathematics Mahmod, Othman A Framework of Subjective Performance Evaluation Using Fuzzy Technique
description	This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the attributes of different types of datasets under a multi-criteria environment. Some previous studies on fuzzy techniques have been attempted in assessment and evaluation methods. The techniques such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted in these fuzzy evaluation methods. However, research that discover a scaling measurement which can express the subjectivity element and integrate the organisation‘s objectives and goals into the evaluation processes by utilising the fuzzy rule in the subjective evaluation method seem limited. Hence, this framework uses the application of fuzzy sets, and approximate reasoning to determine the performance evaluation of various characteristics in decision-making. The framework based upon fuzzy sets has initiated the idea of membership set score valued evaluation of each criterion alternative enables to include requirements which are incomplete and imprecise. The approximate reasoning of the method allows decision maker to make the best choice in accordance of human thinking and reasoning processes. The method introduces an approach of normalising data using similarity function which dampens the extreme value that exists in the data. The framework is suitable for dealing with evaluations in situations that involve subjectivity, vagueness and imprecise information, such as the grading system of evaluation which involves subjectivity, vagueness and imprecise information, such as the grading system evaluation which involves many hedges like "good", "bad" and "satisfactory".
format	Thesis
qualification_name	Ph.D.
qualification_level	Doctorate
author	Mahmod, Othman
author_facet	Mahmod, Othman
author_sort	Mahmod, Othman
title	A Framework of Subjective Performance Evaluation Using Fuzzy Technique
title_short	A Framework of Subjective Performance Evaluation Using Fuzzy Technique
title_full	A Framework of Subjective Performance Evaluation Using Fuzzy Technique
title_fullStr	A Framework of Subjective Performance Evaluation Using Fuzzy Technique
title_full_unstemmed	A Framework of Subjective Performance Evaluation Using Fuzzy Technique
title_sort	framework of subjective performance evaluation using fuzzy technique
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2005
url	https://etd.uum.edu.my/1258/1/MAHMOD_OTHMAN.pdf https://etd.uum.edu.my/1258/2/1.MAHMOD_OTHMAN.pdf
_version_	1747827107384262656

A Framework of Subjective Performance Evaluation Using Fuzzy Technique

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