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首页> 外文期刊>International journal of applied mechanics >An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects
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An EDAS Method for Multiple Attribute Group Decision-Making under Intuitionistic Fuzzy Environment and Its Application for Evaluating Green Building Energy-Saving Design Projects

机译:直觉模糊环境下多属性组决策的EDAS方法及其评估绿色建筑节能设计项目的应用

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摘要

Multiple attribute group decision-making (MAGDM) methods have a significant influence on decision-making in a variety of strategic fields, including science, business and real-life studies. The problem of evaluation in green building energy-saving design projects could be regarded as a type of MAGDM problem. The evaluation based on distance from average solution (EDAS) method is one of the MAGDM methods, which simplifies the traditional decision-making process. Symmetry among some attributes that are known and unknown as well as between pure attribute sets and fuzzy attribute membership sets can be an effective way to solve MAGDM problems. In this paper, the classical EDAS method is extended to intuitionistic fuzzy environments to solve some MAGDM issues. First, some concepts of intuitionistic fuzzy sets (IFSs) are briefly reviewed. Then, by integrating the EDAS method with IFSs, we establish an IF-EDAS method to solve the MAGDM issues and present all calculating procedures in detail. Finally, we provide an empirical application for evaluating green building energy-saving design projects to demonstrate this novel method. Some comparative analyses are also made to show the merits of the method.
机译:多个属性组决策(MAGDM)方法对各种战略领域的决策产生重大影响,包括科学,商业和现实研究。绿色建筑节能设计项目评估问题可能被视为一种MAGDM问题。基于平均水溶液(EDAS)方法的距离的评估是MAGDM方法之一,简化了传统的决策过程。已知和未知以及纯属性集和模糊属性成员集之间的某些属性之间的对称性可以是解决MAGDM问题的有效方法。在本文中,经典的EDA方法扩展到直觉模糊环境,以解决一些MAGDM问题。首先,简要审查了一种直觉模糊集(IFSS)的一些概念。然后,通过将EDAS方法与IFSS集成,我们建立IF-EDAS方法来解决MAGDM问题并详细呈现所有计算过程。最后,我们提供了评估绿色建筑节能设计项目的实证应用,以证明这种新方法。还制定了一些比较分析以显示方法的优点。

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