Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course
The purpose of this paper is to put forward a decision model with wide applicability and differentiated decision scheme scores so as to improve the ability of students to learn during a water engineering economics course. The main novelty and contributions of this paper are that the multi-attribute...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/25/3/441 |
| _version_ | 1797611980846006272 |
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| author | Runjuan Zhou Yingke Sun Shuai Shao Kuo Zhang Ming Zhang |
| author_facet | Runjuan Zhou Yingke Sun Shuai Shao Kuo Zhang Ming Zhang |
| author_sort | Runjuan Zhou |
| collection | DOAJ |
| description | The purpose of this paper is to put forward a decision model with wide applicability and differentiated decision scheme scores so as to improve the ability of students to learn during a water engineering economics course. The main novelty and contributions of this paper are that the multi-attribute decision-making method proposed is more objective and does not require rich subjective experience from decision-makers in the application process, which is particularly suitable for beginners who are learning in a water engineering economics course. The method involves standardizing each index value of the decision scheme first, constructing the objective function of maximum entropy distribution, calculating the weight of each index by the genetic algorithm, and finally ranking the pros and cons of the scheme according to the score of each scheme. The example results of three water engineering scheme decisions show that the maximum entropy model proposed in this paper can achieve reasonable decision results, and there is a large degree of differentiation between the decision schemes. The proposed scheme, a decision maximum entropy model, has wide applicability, can improve the rationality of the decisions made regarding water engineering schemes, and can be popularized and applied when teaching decision-making in water engineering economics courses. |
| first_indexed | 2024-03-11T06:35:02Z |
| format | Article |
| id | doaj.art-78a3065ea65a4ccc986ca199addf023f |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-11T06:35:02Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-78a3065ea65a4ccc986ca199addf023f2023-11-17T10:56:15ZengMDPI AGEntropy1099-43002023-03-0125344110.3390/e25030441Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics CourseRunjuan Zhou0Yingke Sun1Shuai Shao2Kuo Zhang3Ming Zhang4School of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Civil Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaThe purpose of this paper is to put forward a decision model with wide applicability and differentiated decision scheme scores so as to improve the ability of students to learn during a water engineering economics course. The main novelty and contributions of this paper are that the multi-attribute decision-making method proposed is more objective and does not require rich subjective experience from decision-makers in the application process, which is particularly suitable for beginners who are learning in a water engineering economics course. The method involves standardizing each index value of the decision scheme first, constructing the objective function of maximum entropy distribution, calculating the weight of each index by the genetic algorithm, and finally ranking the pros and cons of the scheme according to the score of each scheme. The example results of three water engineering scheme decisions show that the maximum entropy model proposed in this paper can achieve reasonable decision results, and there is a large degree of differentiation between the decision schemes. The proposed scheme, a decision maximum entropy model, has wide applicability, can improve the rationality of the decisions made regarding water engineering schemes, and can be popularized and applied when teaching decision-making in water engineering economics courses.https://www.mdpi.com/1099-4300/25/3/441decision-makingteachingwater engineering economicsmaximum entropygenetic algorithm |
| spellingShingle | Runjuan Zhou Yingke Sun Shuai Shao Kuo Zhang Ming Zhang Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course Entropy decision-making teaching water engineering economics maximum entropy genetic algorithm |
| title | Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course |
| title_full | Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course |
| title_fullStr | Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course |
| title_full_unstemmed | Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course |
| title_short | Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course |
| title_sort | decision making teaching practice based on the maximum entropy method in a water engineering economics course |
| topic | decision-making teaching water engineering economics maximum entropy genetic algorithm |
| url | https://www.mdpi.com/1099-4300/25/3/441 |
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