基于熵权的多目标决策—理想点在山仔水库营养化评价中的应用  

The Application of Evaluating Shanzai ReservoirrEutrophication Based on Entropy of the Multiple Goal Decision Making and Ideal Point

作　　者：王珊珊[1] 张江山[1] 

机构地区：[1]福建师范大学环境科学研究所,福建福州350007

出　　处：《环境科学与管理》2007年第1期187-190,共4页Environmental Science and Management

基　　金：福建省自然科学基金资助项目[F0210005]

摘　　要：多目标决策-理想点模型是一种简便、直观的评价模型,被广泛地用于环境科学研究领域。文章采用熵权和专家权重相结合的方法作为综合权重,充分考虑了客观因素和主观因素,并将其应用多目标决策-理想点模型来评价山仔水库的营养化。结果表明:1998-2002年山仔水库的营养化程度分别为:极富营养、富营养、富营养、中富营养、中营养。这与传统的多目标决策-理想点法一致,也符合实际情况。同时与属性识别理论方法、模糊隶属函数法较之精度更高,说明该方法是合理、有效的。Multiple goal decision making-dealpoint is a brief valuation modle, which is used to environment science field. This paper combines the entropy weight with the specialist subjective weight to decide the synthetic weight ,sufficiency considers objective factor and subjective factor, applying it to the model of multiple goal decision making and ideal point to establish shanzai reservoir eutrophication. The result indicate that 1998 -2002 the eutrophication of shanzai reservoir separate is ：best rich eutrophication,rich eutrophication,rich eutrophication,middle rich eutrophication,middle eutrophication. A comparision of the evaluation result by ideal point method with traditional multiple goal decision making - dealpoint, whose result is the same. it , and is the same to the fact. Simultaneity, it is more sensitive to attribute recognition theory and those of fuzzy membership function, illustrate the method is in reason and effective.

关 键 词：熵权 主观权重 综合权重 多目标决策-理想点 湖泊营养化 

分 类 号：X824[环境科学与工程—环境工程]