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Effectiveness of Entropy Weight Method in Decision-Making
Joint Authors
Zhu, Yuxin
Tian, Dazuo
Yan, Feng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-26
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Entropy weight method (EWM) is a commonly used weighting method that measures value dispersion in decision-making.
The greater the degree of dispersion, the greater the degree of differentiation, and more information can be derived.
Meanwhile, higher weight should be given to the index, and vice versa.
This study shows that the rationality of the EWM in decision-making is questionable.
One example is water source site selection, which is generated by Monte Carlo Simulation.
First, too many zero values result in the standardization result of the EWM being prone to distortion.
Subsequently, this outcome will lead to immense index weight with low actual differentiation degree.
Second, in multi-index decision-making involving classification, the classification degree can accurately reflect the information amount of the index.
However, the EWM only considers the numerical discrimination degree of the index and ignores rank discrimination.
These two shortcomings indicate that the EWM cannot correctly reflect the importance of the index weight, thus resulting in distorted decision-making results.
American Psychological Association (APA)
Zhu, Yuxin& Tian, Dazuo& Yan, Feng. 2020. Effectiveness of Entropy Weight Method in Decision-Making. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1194494
Modern Language Association (MLA)
Zhu, Yuxin…[et al.]. Effectiveness of Entropy Weight Method in Decision-Making. Mathematical Problems in Engineering No. 2020 (2020), pp.1-5.
https://search.emarefa.net/detail/BIM-1194494
American Medical Association (AMA)
Zhu, Yuxin& Tian, Dazuo& Yan, Feng. Effectiveness of Entropy Weight Method in Decision-Making. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-5.
https://search.emarefa.net/detail/BIM-1194494
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194494