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http://dx.doi.org/10.5391/JKIIS.2009.19.6.828

An efficient Decision-Making using the extended Fuzzy AHP Method(EFAM)  

Ryu, Kyung-Hyun (대구가톨릭대학교 컴퓨터정보통신공학부)
Pi, Su-Young (대구가톨릭대학교 컴퓨터정보통신공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.19, no.6, 2009 , pp. 828-833 More about this Journal
Abstract
WWW which is an applicable massive set of document on the Web is a thesaurus of various information for users. However, Search engines spend a lot of time to retrieve necessary information and to filter out unnecessary information for user. In this paper, we propose the EFAM(the Extended Fuzzy AHP Method) model to manage the Web resource efficiently, and to make a decision in the problem of specific domain definitely. The EFAM model is concerned with the emotion analysis based on the domain corpus information, and it composed with systematic common concept grids by the knowledge of multiple experts. Therefore, The proposed the EFAM model can extract the documents by considering on the emotion criteria in the semantic context that is extracted concept from the corpus of specific domain and confirms that our model provides more efficient decision-making through an experiment than the conventional methods such as AHP and Fuzzy AHP which describe as a hierarchical structure elements about decision-making based on the alternatives, evaluation criteria, subjective attribute weight and fuzzy relation between concept and object.
Keywords
Analytic Hierarchies Process; Fuzzy Analytic hierarchy process; triangular fuzzy number; multi-criteria decision-making;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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