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Decision-Making Teaching Practice Based on the Maximum Entropy Method in a Water Engineering Economics Course
Runjuan Zhou1, Yingke Sun1, Shuai Shao1
1School of Chemical and Environmental Engineering, Anhui Polytechnic University, Wuhu 241000, China.
Entropy (Basel, Switzerland)
|March 29, 2023
Summary
This study introduces an objective decision model for water engineering economics students. The maximum entropy model provides differentiated scores to enhance learning and decision-making rationality.
Area of Science:
- Engineering Economics
- Decision Science
Background:
- Water engineering economics courses often require complex decision-making skills.
- Existing methods may rely on subjective experience, posing challenges for beginners.
Purpose of the Study:
- To propose an objective, widely applicable decision model for water engineering economics.
- To enhance students' learning abilities and decision-making rationality in this field.
Main Methods:
- Standardizing decision scheme index values.
- Constructing an objective function for maximum entropy distribution.
- Utilizing a genetic algorithm to calculate index weights for scheme ranking.
Main Results:
- The proposed maximum entropy model yields reasonable and differentiated decision scheme scores.
- Demonstrated effectiveness through three water engineering scheme decision examples.
- The model shows wide applicability and improves decision rationality.
Conclusions:
- The decision maximum entropy model is suitable for beginners in water engineering economics.
- It offers an objective approach to decision-making, enhancing educational value.
- The model can be widely popularized in teaching water engineering economics.
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