A Fuzzy Multicriteria Group Decision Making Approach for Improving the Degree of Confidence in Supplier Selection
This paper presents a fuzzy multicriteria group decision making approach for effectively considering the degree of confidence of decision makers (DMs) in solving the supplier selection problem. Linguistic variables approximated by fuzzy numbers are used to represent the DMs subjective assessments so that the uncertainty and imprecision in the selection process are adequately handled in a less cognitively demanding manner. To avoid the complicated and unreliable process of comparing and ranking fuzzy utilities often required in fuzzy multicriteria analysis, the concept of the degree of dominance between alternatives is introduced for calculating an overall performance index for every alternative supplier across all criteria. An example is presented to demonstrate the applicability of the proposed approach for solving the supplier selection problem in real world settings.
Confidence Uncertainty Multicriteria Supplier Evaluation and Selection
Santoso Wibowo
Faculty of Business Informatics CQUniversity Melbourne, Australia
国际会议
杭州
英文
463-466
2011-10-28（万方平台首次上网日期，不代表论文的发表时间）