A method to aggregate crisp values into interval-valued intuitionistic fuzzy information for group decision making

作者：Yue, Zhongliang^*; Jia, Yuying

来源：Applied Soft Computing, 2013, 13(5): 2304-2317.

DOI：10.1016/j.asoc.2012.12.032

• Group decision making
• Interval-valued intuitionistic fuzzy number
• Satisfactory and dissatisfactory intervals
• Aggregation

Owing to the increasing complexity in modern society, aggregating group's knowledge and experiences to make an appropriate decision is an important research topic. The aim of this article is to present a soft computing model for multiple attribute group decision-making problems. This model aggregates all individual decisions on an attribute into an interval-valued intuitionistic fuzzy number (IVIFN), in which each individual decision as an attribute value is expressed in crisp value. Furthermore, we obtain a collective decision matrix, in which the attribute values are expressed by the aggregated IVIFNs. Then make a decision under intuitionistic fuzzy environment. To illustrate the decision process of the developed approach, we give an example for supplier selection and a sensitivity analysis with different attribute weights. Finally, we show a comparison with another group decision-making method from relevant literature.

• 出版日期2013-5
• 单位广东海洋大学