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An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities

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Abstract

Although group decision-making is often adopted by many organizations in today’s highly complicated business environment, the multiple criteria sorting (MCS) problem in the context of group decision-making has not been studied sufficiently. To this end, we propose a new interactive method to assist a group of decision makers (DMs) with different priorities. With the goal of relieving the cognitive effort exerted by DMs, this method uses the assignment examples provided by the DMs to draw the parameters for the group preference model. In the iterative MCS process that we employ, the DMs are supported from two perspectives. When the assignment examples provided by the DMs are inconsistent, a RINCON algorithm is developed to identify all the possible solutions that the DMs can use to resolve the conflicts. When the examples are consistent, the potential and the fittest assignments of each alternative are deduced using linear programming techniques. These are then presented to the DMs to help them provide more information for the decision-making process. Furthermore, the priority of each DM is objectively and subjectively evaluated, and then progressively updated to reflect the decision-making performance of a DM at each iteration. Meanwhile, the priorities are integrated into the linear programming model to deduce the fittest assignment, as well as into the RINCON algorithm. Hence, the assignment examples of the DMs with higher priorities are emphasized in the fittest assignment, and are less likely to be revised for inconsistency. A practical example featuring MBA programs is also presented to demonstrate the proposed method.

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Authors and Affiliations

  1. The School of Management, The Key Lab of the Ministry of Education for Process Control and Efficiency Engineering, Xi’an Jiaotong University, Xi’an, 710049, P.R. China

    Fu-Ling Cai & Xiuwu Liao

  2. Management School, Renmin University of China, Beijing, 100872, P.R. China

    Kan-Liang Wang

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  1. Fu-Ling Cai
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  2. Xiuwu Liao
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  3. Kan-Liang Wang
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Correspondence to Xiuwu Liao.

Additional information

The research is supported by National Natural Science Foundation of China (Grant #71071124 and #70890081).

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Cai, FL., Liao, X. & Wang, KL. An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities. Ann Oper Res 197, 87–108 (2012). https://doi.org/10.1007/s10479-011-0930-3

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