The Appropriateness of Multicriteria Analysis in Environmental Decision-Making Problems
The Appropriateness of Multicriteria Analysis in Environmental Decision-Making Problems
复制标题
环境决策问题中多标准分析的适当性
DOI：
10.1080/09593332608618484
复制
发表时间：
2005
影响因子：
2.8
通讯作者：
N. Voulvoulis
中科院分区：
文献类型：
--
作者：
A. Balasubramaniam;N. Voulvoulis
环境决策发生在许多环境部门，涉及各种各样的问题。在可用的各种决策工具中，并非所有工具都适合任何单个决策问题，并且任何特定的决策辅助工具可能并不适用于所有决策问题。本文综述了多准则分析的应用，并讨论了多准则分析在环境决策问题中的适用性。由于自然环境和决策环境的多维性，环境决策具有复杂性的特点。因此，MCA通常用于该领域。在环境影响评价（EIA）中，所评价的影响的多个维度在MCA中很容易表示为多个标准。废物管理和水资源规划问题，涉及公众参与，促进了MCA，通过结构和公众的价值观的表达。MCA也被应用于水质问题，允许将不可否认的标准纳入评估。MCA的环境决策问题的适当性可以在一个典型的决策过程的背景下，使其更容易确定的贡献MCA可以在不同的决策阶段。当决策背景的特点是多目标和多标准、不可否认的标准、混合数据和需要易用性，以及分析背景的特点是多个参与者时，多目标分析可能特别合适。
Environmental decision-making occurs in numerous environmental sectors and covers a diverse range of problems. Of the various decision tools available not all of them may be appropriate for any single decision problem, and any particular decision-aid may not be applicable in all decision problems. This article reviews applications of MCA, and considers the appropriateness of Multicriteria Analysis (MCA) in environmental decision-making problems. Due to natural and decision environments being multidimensional, environmental decision-making is characterized by complexity. Consequently MCA has commonly been used in this area. In Environmental Impact Assessment (EIA) the multiple dimensions of the impacts evaluated have been easily represented in MCA as multiple criteria. Waste management and water resource planning problems involving public participation have been facilitated by MCA, through the structuring and articulation of the public's values. MCA has also been applied in water quality problems, allowing the incorporation of incommensurable criteria into evaluations. The appropriateness of MCA for environmental decision problems can be viewed in the context of a typical decision-making process, making it easier to identify the contribution MCA can make at various decision-making stages. MCA can be particularly appropriate when the decision-making context is characterized by multiple objectives and multiple criteria, incommensurable criteria, mixed data and the need for ease of use, and the analysis context is characterized by multiple participants.