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Choice Modeler: A Web-based Spatial Multiple Criteria Evaluation Tool

机译：Choice Modeler：基于Web的空间多标准评估工具

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摘要

This article presents a concept of a Web-based spatial multiple criteria evaluation tool for individual and group use called Choice Modeler (CM). CM was originally conceived as part of a larger Participatory Geographic Information System for Transportation project (PGIST; http://www.pgist.org) aimed at developing and evaluating Internet-hosted capabilities to support participatory decision processes. CM is designed to be either a part of a larger information system such as PGIST or a standalone tool used for evaluation of decision variants. The decision support functions provided by CM aid in reducing the cognitive complexity of the decision space characterized by multiple decision options, evaluation criteria, and criterion weights. This is achieved by incorporating in CM the sensitivity analysis functions for the identification of criteria that do not influence the decision option ranking. Users can remove such criteria from further consideration and thus lessen the cognitive burden of evaluation, which may be essential in multi-stakeholder participatory decision processes. The additional capabilities of CM include a vote aggregation function to collate individual option rankings into a group ranking, and measures of agreement/disagreement to inform the participants about a group-derived desirability of specific decision options. The design of CM was implemented using Web-service architecture. In the article we describe the design of CM and discuss its advantages and limitations.
机译：本文介绍了一个基于Web的空间多准则评估工具的概念，该工具用于个人和团体，称为Choice Modeler（CM）。 CM最初被认为是更大的参与式运输地理信息系统项目（PGIST; http：//www.pgist.org）的一部分，该项目旨在开发和评估由Internet托管的功能以支持参与式决策过程。 CM被设计为更大信息系统（例如PGIST）的一部分，或者是用于评估决策变量的独立工具。 CM提供的决策支持功能有助于降低以多个决策选项，评估标准和标准权重为特征的决策空间的认知复杂性。这是通过将CM敏感性分析功能用于识别不影响决策选项排名的标准来实现的。用户可以从进一步考虑中删除此类标准，从而减轻评估的认知负担，这在多利益相关方参与性决策过程中可能至关重要。 CM的其他功能包括：投票汇总功能，用于将各个选项的排名整理到一个组的排名中;以及同意/不同意的度量，以告知参与者有关特定决策选项的组派需求的信息。 CM的设计是使用Web服务体系结构实现的。在本文中，我们描述了CM的设计并讨论了其优势和局限性。

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