Generalized Hybrid Aggregation Operators Based on the 2-Dimension Uncertain Linguistic Information for Multiple Attribute Group Decision Making

Peide Liu (), Li He and Xiaocun Yu
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Peide Liu: Shandong University of Finance and Economics
Li He: Shandong University of Finance and Economics
Xiaocun Yu: Shandong University of Finance and Economics

Group Decision and Negotiation, 2016, vol. 25, issue 1, No 5, 103-126

Abstract: Abstract With respect to the multiple attribute decision making problems in which the attribute values take the form of the 2-dimension uncertain linguistic information, a new method based on the generalized hybrid operators is proposed. Firstly, the definition, properties, expectations and ranking method of 2-dimension uncertain linguistic information are introduced, and the operational laws the 2-dimension uncertain linguistic information are defined. Then some aggregation operators, including 2-dimension uncertain linguistic generalized weighted average operator, 2-dimension uncertain linguistic generalized ordered weighted average operator, and 2-dimension uncertain linguistic generalized hybrid weighted average operator, are developed, and some properties and special cases of them are also discussed. Finally, these operators are applied to multi-criteria decision making and an illustrative example is given to verify the developed approach and to demonstrate its effectiveness.

Keywords: Generalized aggregation operators; 2-Dimension uncertain linguistic information; Multiple attribute decision making (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10726-015-9434-x

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