A fuzzy rule-based expert system for evaluating intellectual capital

  • Authors:
  • Mohammad Hossein Fazel Zarandi;Neda Mohammadhasan;Susan Bastani

  • Affiliations:
  • Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Social Sciences, Alzahra University, Tehran, Iran

  • Venue:
  • Advances in Fuzzy Systems - Special issue on Real-Life Applications of Fuzzy Logic
  • Year:
  • 2012

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Abstract

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.