Stochastic multi-attribute decision-making model based on grey matrix relational analysis and its application

Author(s):  
Chunwang Ruan ◽  
Xinping Xiao
2021 ◽  
Vol 236 ◽  
pp. 05036
Author(s):  
Wen Mi ◽  
Wen Jing ◽  
Wu Xiao-feng ◽  
Zhang Yi-ming ◽  
Fang Qiang

This paper puts forward the concept of incentive utility, which converts the value of each attribute in multi-attribute decision-making into a unified index for measurement, thus simplifying multi-attribute decision-making. In this paper, a comprehensive evaluation model based on the TOPSIS of incentive utility is established. Through the establishment of incentive index, the utility of incentive and the calculation of ideal point of utility, the disadvantage of "ideal point is not ideal" in the TOPSIS is overcome. It can better synthesize the sub-attribute value and realize the subjective multi-attribute decision-making. The example shows that the model can apply subjective factors to decision-making scientifically, and the result is more reasonable and effective.


2019 ◽  
Vol 36 (6) ◽  
pp. 6325-6342 ◽  
Author(s):  
Muhammad Akram ◽  
Ghous Ali ◽  
José Carlos R. Alcantud

Informatica ◽  
2013 ◽  
Vol 24 (1) ◽  
pp. 103-118 ◽  
Author(s):  
Dragisa Stanujkic ◽  
Nedeljko Magdalinovic ◽  
Rodoljub Jovanovic

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