Grey relational analysis model for dynamic hybrid multiple attribute decision making
Knowledge-Based Systems
Computers and Industrial Engineering
New aggregation operators based on the Choquet integral and 2-tuple linguistic information
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Interval-valued hesitant preference relations and their applications to group decision making
Knowledge-Based Systems
Computers and Industrial Engineering
Computers and Industrial Engineering
Induced continuous Choquet integral operators and their application to group decision making
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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With respect to linguistic multiple attribute group decision making problems with incomplete weight information, a new method is proposed. In the method, the 2-tuple linguistic representation developed in recent years is used to aggregate the linguistic assessment information. In order to get the weight vector of the attribute, we establish an optimization model based on the basic ideal of traditional technique for order performance by similarity to ideal solution, by which the attribute weights can be determined. Then, the optimal alternative(s) is determined by calculating the shortest distance from the 2-tuple linguistic positive ideal solution, and on the other side, the farthest distance of the 2-tuple linguistic negative ideal solution. The method has exact characteristic in linguistic information processing. It avoided information distortion and losing, which occur formerly in the linguistic information processing. Finally, a numerical example is used to illustrate the use of the proposed method. The result shows the approach is simple, effective, and easy to calculate.