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Multi-attribute three-way decision making with degree-based linguistic term sets
Wang Zeng-Hui,Zhu Ping *
School of Science, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
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Funding: none
Opened online:16 June 2021
Accepted by: none
Citation: Wang Zeng-Hui,Zhu Ping.Multi-attribute three-way decision making with degree-based linguistic term sets[OL]. [16 June 2021] http://en.paper.edu.cn/en_releasepaper/content/4755218
 
 
When using several possible linguistic terms with different weights (represented by probability values) to express preferences, the probability distribution of those linguistic terms is usually hard to be obtained. In this paper, we utilize degree values to reflect the weights of possible linguistic terms and first propose a novel concept called degree-based linguistic term set (DLTS) from the perspective of degree. Then, we combine multi-attribute decision making and three-way decision to present a multi-attribute three-way decision method under the environment of DLTSs. Finally, we illustrate the validity of our decision method through a concrete example.
Keywords:Multi-attribute decision making, Three-way decision, Degree-based linguistic term set
 
 
 

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