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

被引：22

作者：

Huang, JJ

Tzeng, GH ^{[1
]}

Ong, CS

机构：

[1] Natl Chiao Tung Univ, Inst Management Technol, Hsinchu, Taiwan

[2] Natl Taiwan Univ, Dept Informat Management, Taipei 10764, Taiwan

[3] Kai Nan Univ, Coll Management, Taoyuan, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2006年 / 30卷 / 04期

关键词：

competence set; multi-criteria problem; pareto solutions; multi-objective evolutionary algorithm (MOEA);

D O I：

10.1016/j.eswa.2005.07.033

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：739 / 745

页数：7

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