Combination Evaluation Model Based on Entropy Weight Method
                  Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
                  17.12.2021 - 19.12.2021 in Shenyang, China              
Tagungsband: ICMLCA 2021
Seiten: 5Sprache: EnglischTyp: PDF
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            Autoren:
                          Li, Fang; Su, Mai; Li, Dongping (School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China)
                      
              Inhalt:
              In view of the diversity of weight determination methods in current evaluation models, the research status of combined evaluation models based on entropy weight method is summarized. First of all, the concept and model of single entropy weight method are introduced. Secondly, the combination evaluation method is introduced and its three types are described. The combination evaluation method of entropy weight method is mainly used in the two kinds of combination evaluation models. The existing combinatorial evaluation models based on entropy weight method are reviewed and their applications are introduced. Finally, it is suggested that the combinatorial evaluation methods and techniques should be further developed and further studied.            

