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Formalizing an Integrated Multidisciplinary Decision-Making Methodology for Ranking Sustainable Infrastructure Designs

机译:为排名可持续基础设施设计进行正式化综合多学科决策方法

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The sustainable success of public infrastructure projects is becoming a driving force of the advancing urbanization boom in developing countries globally. Making informative decisions from sustainable infrastructure designs has been drawing considerable attention in the research community of infrastructure sustainability (IS). However, integrating knowledge of decisionmakers (DMs), who are multidisciplinary professionals with over differentiated expertise, encounter uncertainties in representing decision information due to their various preferences. This study, therefore, has developed an integrated multidisciplinary decision-making (MDM) methodology leveraged by a five-step modeling technique for ranking analysis of sustainable infrastructure design alternatives. It comparatively combines different preferences of multidisciplinary DMs in representing decision information among intuitionistic fuzzy, linguistic, and mixed decision environments. The integrated MDM methodology is then validated by an illustrative example, which is assumed to simulate the collaborative ranking analysis for sustainable infrastructure designs. The validation findings demonstrate the capability of this proposed integrated MDM methodology in deriving objective and consistent ranking results in a multidisciplinary group level of detail. This research contributes to a reasoning methodology of managing representation uncertainties of decision information from multidisciplinary DMs with various preferences for sustainable infrastructure developments.
机译:公共基础设施项目的可持续成功正在成为全球发展中国家推进城市化繁荣的推动力。从可持续的基础设施设计中做出信息丰富的决策在基础设施可持续性的研究界(是)的研究群落中一直在借鉴。然而,整合决策者(DMS)的知识,他们是多学科专业人员,具有通过差异化专业知识,遇到由于其各种偏好而代表决定信息的不确定性。因此,本研究开发了一种集成的多学科决策(MDM)方法,其利用了一个五步建模技术,用于对可持续基础设施设计替代品的排名分析进行排序。它相对地结合了多学科DMS在直觉模糊,语言和混合决策环境之间的决策信息中的不同偏好。然后通过说明性示例验证集成的MDM方法,该方法假设模拟可持续基础设施设计的协作排名分析。验证结果证明了这一提议的集成MDM方法在衍生目标和一致的排名方面的多学科群体细节水平。本研究有助于管理从多学科DMS管理决策信息的代表性不确定性,以各种偏好进行可持续基础设施发展。

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