A fuzzy multi-objective programming optimization model for emergency resource dispatching under equitable distribution principle
| Autor: | Shijun Yu, Zhaoping Tang, Jianping Sun, Wenda Li |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Mathematical optimization Distribution (number theory) Computer science Objective programming General Engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS 020101 civil engineering 02 engineering and technology Fuzzy logic 0201 civil engineering 03 medical and health sciences 0302 clinical medicine Resource (project management) Artificial Intelligence 030212 general & internal medicine |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 41:5107-5116 |
| ISSN: | 1875-8967 1064-1246 |
| Popis: | In the initial stage of emergency rescue for major railway emergencies, there may be insufficient emergency resources. In order to ensure that all the emergency demand points can be effectively and fairly rescued, considering the fuzzy properties of the parameters, such as the resource demand quantity, the dispatching time and the satisfaction degree, the railway emergency resources dispatching optimization model is studied, with multi- demand point, multi-depot, and multi-resource. Based on railway rescue features, it was proposed that the couple number of relief point - emergency point is the key to affect railway rescue cost and efficiency. Under the premise of the maximum satisfaction degree of quantity demanded at all emergency points, a multi-objective programming model is established by maximizing the satisfaction degree of dispatching time and the satisfaction degree of the couple number of relief point - emergency point. Combined with the ideal point method, a restrictive parameter interval method for optimal solution was designed, which can realize the quick seek of Pareto optimal solution. Furthermore, an example is given to verify the feasibility and effectiveness of the method. |
| Databáze: | OpenAIRE |
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