Some prioritized aggregating operators with linguistic information and their application to multiple attribute group decision making

  • Authors:
  • Xiaofei Zhao;Qingxiang Li;Guiwu Wei

  • Affiliations:
  • School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China;School of Software Engineering, Chongqing University of Arts and Sciences, Yongchuan, China;School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2014

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Abstract

In this paper, we investigate the linguistic multiple attribute group decision making MADM problems in which the attributes and experts are in different priority level. Motivated by the ideal of prioritized aggregation operators R.R. Yager, Prioritized aggregation operators, International Journal of Approximate Reasoning 482008 263-274., we develop some prioritized aggregation operators for aggregating linguistic information, and then apply them to develop some models for linguistic multiple attribute group decision making MAGDM problems in which the attributes and experts are in different priority level. Finally, a practical example about talent introduction is given to verify the developed approach and to demonstrate its practicality and effectiveness.