Optimization of Multi-Stage Group Decision Making for Water Resource Allocation
基于免疫遗传算法水资源配置多阶段群决策优化模型研究

Here, we research decision making characteristics for a water resource system and build a multi-stage group decision making model. We divided the water resource allocation mode into four modes: economic efficiency, social benefits, ecological environmental benefits and resource utilization efficiency. Because different positions and attitudes impact group decision making we divided the objective weight into legal weight and expertise weight. To determine the dynamic weight of expert groups we divided subjective weights and objective weights. Convergence of expert opinion was by altering adjustment factors of the evaluation matrixes of experts. Using weighted arithmetic average operators and immune genetic algorithms we fit the expert group decision making matrix. Using the Zhang River basin we evaluated the results of our model. The expert group contained experts from the central government, upper reaches of Zhang River Bureau, water conservancy officers, and representatives of water users. Our goal in this case study was to verify the effectiveness of the optimization model for the convergence of comprehensive opinion.