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首页> 外文期刊>Informatica >An Entropy-Based Method for Probabilistic Linguistic Group Decision Making and its Application of Selecting Car Sharing Platforms
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An Entropy-Based Method for Probabilistic Linguistic Group Decision Making and its Application of Selecting Car Sharing Platforms

机译：基于熵的语言语言群决策方法及选择轿厢共享平台的应用

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摘要

As the tourism and mobile internet develop, car sharing is becoming more and more popular. How to select an appropriate car sharing platform is an important issue to tourists. The car sharing platform selection can be regarded as a kind of multi-attribute group decision making (MAGDM) problems. The probabilistic linguistic term set (PLTS) is a powerful tool to express tourists' evaluations in the car sharing platform selection. This paper develops a probabilistic linguistic group decision making method for selecting a suitable car sharing platform. First, two aggregation operators of PLTSs are proposed. Subsequently, a fuzzy entropy and a hesitancy entropy of a PLTS are developed to measure the fuzziness and hesitancy of a PLTS. respectively. Combining the fuzzy entropy and hesitancy entropy, a total entropy of a PLTS is generated. Furthermore, a cross entropy between PLTSs is proposed as well. Using the total entropy and cross entropy, DMs' weights and attribute weights are determined, respectively. By defining preference functions with PLTSs, an improved PL-PROMETHEE approach is developed to rank alternatives. Thereby, a novel method is proposed for solving MAGDM with PLTSs. A car sharing platform selection is examined at length to show the application and superiority of the proposed method.
机译：随着旅游和移动互联网发展，汽车分享越来越受欢迎。如何选择适当的汽车共享平台是游客的重要问题。汽车共享平台选择可以被视为一种多属性组决策（MAGDM）问题。概率主义语言术语集（PLTS）是一种强大的工具，可以在汽车共享平台选择中表达游客评估。本文开发了一种选择合适的汽车共享平台的概率语言组决策方法。首先，提出了两个PLTS的聚合运算符。随后，开发了一种模糊的熵和犹豫不决的熵，以测量PLTS的模糊和犹豫。分别。组合模糊熵和犹豫不决的熵，产生了PLTS的总熵。此外，也提出了PLTS之间的交叉熵。使用总熵和跨熵，分别确定DMS的权重和属性权重。通过使用PLTS定义偏好功能，开发了改进的PL-PROMETHEE方法以排列替代方案。因此，提出了一种用PLTS求解MAGDM的新方法。在长度上检查汽车共享平台选择，以显示所提出的方法的应用和优越性。

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