The Study of Multiple Attribute Decision Making Based on Bi-objective Combined Weights Model
Li Chang
Abstract
Li Chang
Abstract
In this paper,the distance entropy of the interval grey number is defined,and grey number distance entropy is used as the measurement standard of interval grey number distance.The grey distance entropy maximizing deviations model of the attributes of uncertain multiple attribute decision making is build.Then the bi-objective combined weight model based on the grey distance entropy and maximum-entropy is discussed.There by the transformation from the interval weights to certain weights is achieved.At last an example is used to verify this effectiveness of the decision making method.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
In this paper,the distance entropy of the interval grey number is defined,and grey number distance entropy is used as the measurement standard of interval grey number distance.The grey distance entropy maximizing deviations model of the attributes of uncertain multiple attribute decision making is build.Then the bi-objective combined weight model based on the grey distance entropy and maximum-entropy is discussed.There by the transformation from the interval weights to certain weights is achieved.At last an example is used to verify this effectiveness of the decision making method.
Key concepts: Entropy (arrow of time), Mathematics, Interval (graph theory), Computer science, Data mining, Statistics, Mathematical optimization, Combinatorics