Optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithms

  • Authors:
  • Jih-Jeng Huang;Gwo-Hshiung Tzeng;Chorng-Shyong Ong

  • Affiliations:
  • Department of Information Management, National Taiwan University, Taipei, Taiwan;Institute of Management of Technology, National Chiao Tung University, Hsinchu, Taiwan and College of Management, Kai Nan University, Taoyuan, Taiwan;Department of Information Management, National Taiwan University, Taipei, Taiwan

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2006

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Abstract

Competence set is widely used to plan the optimal expansion process of skills, abilities or strategies. However, the conventional method is concerned only with one criterion rather than multi-criteria problems. In addition, the crisp value cannot reflect the ambiguity and the uncertainty in practice. In this paper, we propose the fuzzy criteria competence set analysis. In order to obtain Pareto solutions, multi-objective evolutionary algorithm (MOEA) is employed here. A numerical example with two fuzzy criteria is also used to illustrate the proposed method.