How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy.
How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy.
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如何支持多准则决策分析的应用？让我们从一个全面的分类开始。
DOI：
10.1016/j.omega.2020.102261
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Słowiński R
中科院分区：
文献类型：
--
作者：
Cinelli M;Kadziński M;Gonzalez M;Słowiński R
决策是一项复杂的任务，涉及众多的观点，约束和变量。多准则决策分析（MCDA）是一个已经使用了几十年的过程，以支持决策。它包括一系列步骤，系统地帮助决策者（DM）和利益相关者构建决策问题，识别他们的偏好，并建立与这些偏好一致的决策建议。在过去几十年中，许多研究已经证明了MCDA过程的进行以及如何选择MCDA方法。到目前为止，还没有对这些研究进行审查，也没有提出一个统一和全面的军事和民防资源过程特征的高级别代表性的建议（即，），这是本文的目的。我们介绍了一个审查的研究，定义如何进行MCDA过程中，比较MCDA方法，并提出了决策支持系统（DSS）推荐相关的MCDA方法或方法的子集。然后，我们将这项研究综合成MCDA过程特征的分类，分为三个主要阶段：（i）问题制定，（ii）决策建议的构建，以及（iii）定性特征和技术支持。这些阶段中的每一个都包括10个特征的子集，这些特征有助于分析师实施MCDA过程，同时也意识到这些选择在每个步骤中的含义。通过展示如何将决策划分为可管理和合理的步骤，我们降低了在MCDA过程中压倒分析师以及DM/利益相关者的风险。提出了一个提问策略，以演示如何应用分类映射MCDA方法，并选择最相关的一个（S）使用真实的案例研究。此外，我们还展示了MCDA方法推荐的DSS如何可以分为三个主要集群。这一建议可以加强这种系统的可追踪和可分类的发展。
Decision making is a complex task that involves a multitude of perspectives, constraints, and variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decision making problem, identifying their preferences, and building a decision recommendation consistent with those preferences. Over the last decades, many studies have demonstrated the conduct of the MCDA process and how to select an MCDA method. Until now, there has not been a review of these studies, nor a proposal of a unified and comprehensive high-level representation of the MCDA process characteristics (i.e., features), which is the goal of this paper. We introduce a review of the research that defines how to conduct the MCDA process, compares MCDA methods, and presents Decision Support Systems (DSSs) to recommend a relevant MCDA method or a subset of methods. We then synthesize this research into a taxonomy of characteristics of the MCDA process, grouped into three main phases, (i) problem formulation, (ii) construction of the decision recommendation, and (iii) qualitative features and technical support. Each of these phases includes a subset of the 10 characteristics that helps the analyst implementing the MCDA process, while also being aware of the implication of these choices at each step. By showing how decision making can be split into manageable and justifiable steps, we reduce the risk of overwhelming the analyst, as well as the DMs/stakeholders during the MCDA process. A questioning strategy is also proposed to demonstrate how to apply the taxonomy to map MCDA methods and select the most relevant one(s) using real case studies. Additionally, we show how the DSSs for MCDA method recommendation can be grouped into three main clusters. This proposal can enhance a traceable and categorizable development of such systems.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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DOI：
10.1016/j.omega.2013.05.006
发表时间：
2014-01-01
影响因子：
6.9
作者：
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通讯作者：
Slowinski, Roman