Generalized Grey Target Decision Method for Mixed Attributes Based on Kullback-Leibler Distance

Entropy

Jinshan Ma¹ 

[1] School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China;

关键词: Kullback-Leibler distance;    mixed attributes;    generalized grey target decision method;    binary connection number;    TOPSIS;   

DOI  :  10.3390/e20070523

来源: DOAJ

【 摘 要 】

A novel generalized grey target decision method for mixed attributes based on Kullback-Leibler (K-L) distance is proposed. The proposed approach involves the following steps: first, all indices are converted into index binary connection number vectors; second, the two-tuple (determinacy, uncertainty) numbers originated from index binary connection number vectors are obtained; third, the positive and negative target centers of two-tuple (determinacy, uncertainty) numbers are calculated; then the K-L distances of all alternatives to their positive and negative target centers are integrated by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method; the final decision is based on the integrated value on a bigger the better basis. A case study exemplifies the proposed approach.

【 授权许可】

Unknown