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Fuzzy Group Consensus Decision Making and Its Use in Selecting Energy-Saving and Low-Carbon Technology Schemes in Star Hotels

机译:模糊集团共识决策及其在星级酒店节能低碳技术方案选择中的应用

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Energy-saving and low-carbon technologies play important roles in reducing environmental risk and developing green tourism. An energy-saving and low-carbon technology scheme selection may often involve multiple criteria and sub-criteria as well as multiple stakeholders or decision makers, and thus can be structured as a hierarchical multi-criteria group decision making problem. This paper proposes a framework to solve group consensus decision making problems, where decision makers’ preferences between the alternatives considered with respective to each criterion are elicited by the paired comparison method, and expressed as triangular fuzzy preference relations (TFPRs). The paper first simplifies the existing computation formulas used to determine triangular fuzzy weights of TFPRs. A consistency index is then devised to measure the inconsistency degree of a TFPR and is used to check acceptable consistency of TFPRs. By introducing a possibility degree formula of comparing any two triangular fuzzy weights, an index is defined to measure the consensus level between an individual ranking order and the group ranking order for all alternatives. A consensus model is developed in detail for solving group decision making problems with TFPRs. A case study of selecting energy-saving and low-carbon technology schemes in star hotels is provided to illustrate how to apply the proposed group decision making consensus model in practice.
机译:节能和低碳技术在降低环境风险和发展绿色旅游方面发挥着重要作用。节能和低碳技术方案的选择通常可能涉及多个标准和子标准以及多个利益相关者或决策者,因此可以构造为分层的多标准组决策问题。本文提出了一个解决群体共识决策问题的框架,该决策者通过配对比较方法在每个准则所考虑的备选方案之间选择决策者的偏好,并表示为三角模糊偏好关系(TFPR)。本文首先简化了用于确定TFPR的三角模糊权重的现有计算公式。然后设计一致性指数以测量TFPR的不一致程度,并用于检查TFPR的可接受一致性。通过引入比较任意两个三角模糊权重的可能性程度公式,定义了一个指标来度量所有替代方案的个人排名顺序和组排名顺序之间的共识水平。详细开发了共识模型,用于解决TFPR的团队决策问题。提供了一个在星级酒店中选择节能和低碳技术方案的案例研究,以说明如何在实践中应用建议的群体决策共识模型。

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