Analysis of the impact of attitudinal character on the multicriteria decision making with OWA operators

作者：Ma Feng Mei^*; Guo Ya Jun; Shan Xiang

来源：International Journal of Intelligent Systems, 2012, 27(5): 502-518.

DOI：10.1002/int.21533

The first (or last) few alternatives need to be identified in some cases, such as recruiting (or dismissing) the first (or last) few candidates in a firm. In such cases, we analyze the impact of attitudinal character on the multicriteria decision making with ordered weighted averaging (OWA) operators. First, we propose a linear programming model to determine the best and worst ranking orders for each alternative to identify if it can be one of the potential first (or last) few alternatives. Second, we determine the attitudinal character's range for each alternative, in which it can be one of the potential alternatives. Furthermore, under the specified subintervals of attitudinal character, we identify which alternatives can be the potential ones by the analysis result obtained in the second step. According to the impact of attitudinal character analyzed by the proposed method, the set of alternatives can be reduced, when the range of attitudinal character is specified and the best and worst ranges of attitudinal character for each alternative can be identified in self-evaluation.

• 出版日期2012-5
• 单位东北大学