Othman, Mahmod and Khalid, Shaiful Annuar and Abdullah, Fader and Amir Hamzah, Shezrin Hawani and Ku-Mahamud, Ku Ruhana (2013) Hybrid subjective evaluation method using weighted subsethood - based (WSBA) rule generation algorithm. Journal of Arts, Science & Commerce, 4 (1(1)). pp. 1-9. ISSN 2231-4172

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Abstract

Fuzzy rules are important elements that should take into account in any fuzzy expert system.This paper proposes the framework of subjective performance evaluation using fuzzy technique for ranking the attributes of different types of datasets under a multi-criteria environment.The techniques such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted in these fuzzy evaluation methods.The framework is based on fuzzy multicriteria decision-making that consists of fuzzy rules. The use of fuzzy rules, which were extracted directly from input data through Weighted Subsethood-based (WSBA) Rule Generation Algorithm.WSBA rule generation use the subsethood values to generate the weights which finally produced the fuzzy general rules.The rules generated through the data provided knowledge in developed fuzzy rule The fuzzy rules embedded in the framework of subjective evaluation method showed advantages in generalizing the evaluation of the performance achievement, where the evaluation process can be conducted consistently in producing good evaluation results with the use of the membership set score.The results from the numerical examples are comparable to other fuzzy evaluation methods, even with the use of small rule size.

Item Type:	Article
Uncontrolled Keywords:	fuzzy technique; weighted subsethood based; rule generations, subjective evaluation
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	24 Dec 2013 02:43
Last Modified:	10 Feb 2014 05:49
URI:	https://repo.uum.edu.my/id/eprint/9847

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