A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital | Zendy

Mohammad Hossein Fazel Zarandi | Zendy; Neda Mohammadhasan | Zendy; Susan Bastani | Zendy

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A Fuzzy Rule-Based Expert System for Evaluating Intellectual Capital

Author(s) -

Mohammad Hossein Fazel Zarandi,

Neda Mohammadhasan,

Susan Bastani

Publication year - 2012

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2012/823052

Subject(s) - intellectual capital , fuzzy logic , computer science , sample (material) , fuzzy rule , expert system , artificial intelligence , capital (architecture) , data mining , fuzzy set , knowledge management , machine learning , geography , archaeology , chromatography , chemistry

A fuzzy rule-based expert system is developed for evaluating intellectual capital. A fuzzy linguistic approach assists managers to understand and evaluate the level of each intellectual capital item. The proposed fuzzy rule-based expert system applies fuzzy linguistic variables to express the level of qualitative evaluation and criteria of experts. Feasibility of the proposed model is demonstrated by the result of intellectual capital performance evaluation for a sample company

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