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PROMETHEE Decision Method Based on Linguistic-Valued Lattice Implication Algebra |
ZOU Li1, LUO Siyuan2, SHI Yuanyuan2, REN Yonggong1 |
1.School of Computer and Information Technology, Liaoning Normal University, Dalian 116081 2.School of Mathematics, Liaoning Normal University, Dalian 116081 |
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Abstract Aiming at the problem of decision making with comparable and incomparable linguistic-valued information, a multi-attribute decision making method based on linguistic-valued lattice implication algebra(LV(n×2)) is proposed. The linguistic-valued evaluation matrix and its properties on LV(n×2) is discussed, and the priority function and the lattice-valued difference of LV(n×2) are put forward. Taking full account of the attribute value disparity information, the lattice-valued difference is applied to the preference ranking. By utilizing the linguistic-valued vector, linguistic-valued vector synthesis matrix is constructed to deal with multi-expert multi-attribute information in decision-making problems. The linguistic-valued evaluation matrix weighted aggregation operator(LMWAA operator) is introduced to aggregate the linguistic-valued evaluation matrix. Utilizing the noncompensatory nature of preference ranking organization method for enrichment evaluation(PROMETHEE) decision method, a PROMETHEE decision model based on linguistic-valued lattice implication algebra is constructed. The effectiveness and practicability of the proposed method are illustrated by an example of network commodity evaluation.
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Received: 02 January 2018
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Fund:Supported by National Natural Science Foundation of China(No.61772250,61673320,61672127), Fundamental Research Funds for the Central Universities(No.26820172T12), Natural Science Foundation of Liaoning Province(No.2015020059) |
Corresponding Authors:
REN Yonggong(corresponding author), Ph. D., professor. His research interests include data mining and intelligent information processing.
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About author:: ZOU Li, Ph.D., professor. Her research interests include multi-valued logic and uncertainty reasoning, and intelligent information processing;LUO Siyuan, master student. Her research interests include multi-valued logic and uncertainty reasoning, and intelligent information processing;SHI Yuanyuan, master student. Her research interests include multi-valued logic and uncertainty reasoning, and intelligent information processing. |
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