Entropy and Cross-Entropy for Decision Making Problems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".
Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 566
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the theories of entropy and cross-entropy with their application in decision-making problems. Entropy and cross-entropy play important roles in decision-making problems. During recent years, many generalizations of entropy and cross-entropy have been developed and some of them have been widely applied in decision-making problems. Despite this, some challenges still exist. For example, some of the existing generalizations of entropy and cross-entropy still need to be improved; their application in decision-making problems still needs to be determined by data mining. For specific decision-making problems, different entropy and cross-entropy formulas should be selected. Entropy and cross-entropy can also be combined with other methods, such as machine learning and deep learning, to solve decision-making problems. Especially with the arrival of big data, new challenges have appeared for the application of entropy and cross-entropy in data-driven decision-making problems. Two important questions arise: Do the classical entropy and cross-entropy formulas still perform better in the data-driven decision-making problems? How can they be improved or combined with data mining methods to solve data-driven decision-making problems?
Dr. Meimei Xia
Guest Editor
Manuscript Submission Information
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Keywords
- entropy
- cross-entropy
- decision making
- decision analysis
- data-deriving decision making problems
- data mining
- data analysis
- business intelligence
- machine learning
- deep learning
