A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making

Yeu Shiang Huang, Wei Hao Li

研究成果: Article同行評審

44 引文 斯高帕斯(Scopus)


The technique for order preference by similarity to ideal solution (TOPSIS) has become a popular multi-criteria decision making (MCDM) technique, since it has a comprehensible theoretical structure and is able to provide an exact model for decision making. For the use of TOPSIS in group decisions, the common approaches in aggregating individual decision makers' judgments are the geometric and the arithmetic mean methods, although these are too intuitive and do not consider either preference levels or preference priorities among alternatives for individual decision makers. In this paper, a TOPSIS group decision aggregation model is proposed in which the construction consists of three stages: (1) The weight differences are calculated first as the degrees of preferences among different alternatives for each decision maker; (2) The alternative priorities are then derived, and the highest one can be denoted as the degree to which a decision maker wants his most favorite alternative to be chosen; (3) The group ideal solutions approach in TOPSIS is used for the aggregation of similarities obtained from different decision makers. A comparative analysis is performed, and the proposed aggregation model seems to be more satisfactory than the traditional aggregation model for solving compromise-oriented decision problems.

頁(從 - 到)461-473
期刊Group Decision and Negotiation
出版狀態Published - 2012 7月

All Science Journal Classification (ASJC) codes

  • 一般決策科學
  • 藝術與人文(雜項)
  • 一般社會科學
  • 策略與管理
  • 技術與創新管理


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