文章基本信息

标题：Hybrid Subjective Evaluation Method using Weighted Subsethood – Based (WSBA) Rule Generation Algorithm
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作者：Mahmod Othman ; Shaiful Annuar Khalid ; Fader Abdullah 等
期刊名称：Researchers World - Journal of Arts Science & Commerce
印刷版ISSN：2229-4686
电子版ISSN：2229-4686
出版年度：2013
卷号：4
期号：1(1)
页码：46-54
出版社：Educational Research Multimedia & Publication
摘要：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 multi-criteria 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.
关键词：fuzzy technique; weighted subsethood based; rule generations; subjective evaluation