An extended TOPSIS method for the multiple attribute group decision making problems based on intuitionistic linguistic numbers

نویسندگان

  • Yan Du
  • Jia Zuo
چکیده

With respect to the multiple attribute group decision making problems in which the attribute weights are unknown and the attribute values take the form of the intuitionistic linguistic numbers, an expanded technique for order preference by similarity to ideal solution (TOPSIS) method is proposed. Firstly, the definition of intuitionistic linguistic number and the operational laws are given and distance between intuitionistic linguistic numbers is defined. Then, the attribute weights are determined based on the ‘maximizing deviation method’ and an extended TOPSIS method is developed to rank the alternatives. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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تاریخ انتشار 2012