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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:English
English
Published: 2005
Subjects:
QA Mathematics
Online Access:http://etd.uum.edu.my/1258/1/MAHMOD_OTHMAN.pdf
http://etd.uum.edu.my/1258/2/1.MAHMOD_OTHMAN.pdf
http://etd.uum.edu.my/1258/
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spelling my.uum.etd.12582013-07-24T12:11:09Z http://etd.uum.edu.my/1258/ A Framework of Subjective Performance Evaluation Using Fuzzy Technique Mahmod, Othman 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 NonPeerReviewed application/pdf en http://etd.uum.edu.my/1258/1/MAHMOD_OTHMAN.pdf application/pdf en http://etd.uum.edu.my/1258/2/1.MAHMOD_OTHMAN.pdf Mahmod, Othman (2005) A Framework of Subjective Performance Evaluation Using Fuzzy Technique. PhD. thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2005
url http://etd.uum.edu.my/1258/1/MAHMOD_OTHMAN.pdf
http://etd.uum.edu.my/1258/2/1.MAHMOD_OTHMAN.pdf
http://etd.uum.edu.my/1258/
_version_ 1644276397798064128
score 13.211869

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