A novel fuzzy group decision making model for building an intelligent rating system

Author

Hei-Fong Ho

Author_Institution

Dept. of Bus. Adm., Chang Jung Christian Univ., Tainan, Taiwan

fYear

2013

fDate

23-25 July 2013

Firstpage

1110

Lastpage

1114

Abstract

A novel model based on the synergy of fuzzy multi-criteria group decision making technique and case-based reasoning is proposed for building a reliable rating system. Both fuzzy numbers and linguistic terms are applied for knowledge expression by experts. A measurement of knowledge validation is developed to evaluate the quality of experts´ judgments at a consistency level, which serves as a proper weight for achieving consensus in the knowledge integration process. Consequently, the obtained consensus reveals an ideal solution. Experimentation for fuzzy performance rating is presented to validate the proposed model.

Keywords

case-based reasoning; computational linguistics; decision making; fuzzy reasoning; fuzzy set theory; knowledge acquisition; knowledge verification; case-based reasoning; fuzzy group decision making model; fuzzy multicriteria group decision making technique; fuzzy numbers; fuzzy performance rating; intelligent rating system; knowledge expression; knowledge integration process; knowledge validation measurement; linguistic judgment; Cognition; Decision making; Fuzzy sets; Knowledge based systems; Pragmatics; Vectors; Weight measurement; case-based reasoning; fuzzy group decision-making; knowledge validation; linguistic judgment; rating;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/FSKD.2013.6816363

Filename

6816363