Combination Study of Multi Fuzzy Cognitive Map

  • Authors:
  • Chun-Mei Lin

  • Affiliations:
  • Department of Computer, Shaoxing College of Arts and Sciences, Shaoxing Zhejiang, China 312000

  • Venue:
  • KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
  • Year:
  • 2008

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Abstract

Multi-expert constructing Fuzzy cognitive map is a typical multi-expert knowledge combination problem. In this paper, we investigate the use of Dempster-Shafer evidence theory as a tool for multi-expert knowledge combination. In proposed method, we use each expert opinion as a evidence, the possible value of weight as frame of discernment, the expert's evaluation to a weight on frame of discernment as basic probability assignment, and Dempster-Shafe rule as combined basis of basic probability assignment m. Finally, the weight is given according to combined basic probability assignment. The strategy can gradually reduce the hypothesis sets and approach the truth with the accumulation of evidences, which make the result of decision more all ---around and more scientific. The experimental result is shown that the method can keep exactitude information, reduce conflict factor and improve knowledge quality.