Open AccessResearch on Decision Fusion Method Based on Mixed Attributes
Author(s) -
Dongxin Lin
Publication year - 2022
Publication title -
scientific and social research
Language(s) - English
Resource type - Journals
ISSN - 2661-4332
DOI - 10.26689/ssr.v4i4.3780
Subject(s) - maximization , stability (learning theory) , fusion , computer science , data mining , correlation coefficient , value (mathematics) , research object , mathematics , artificial intelligence , mathematical optimization , machine learning , linguistics , philosophy , regional science , geography
In order to solve the issues that different decision methods cannot be effectively fused with mixed attributes, this study proposes the idea of maximizing the total deviation between the evaluation values of multiple single evaluation methods, constructs a decision fusion model based on the deviation maximization method, obtains the combined evaluation results of each evaluation object via calculation, and ranks them accordingly, either superior or inferior. Secondly, the Spearman’s correlation coefficient is used to analyze the stability of the evaluation value of the portfolio. Finally, by combining the analysis in this study with a comparative analysis from previous papers, the results showed the scientific validity and effectiveness of the fusion method.