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首页> 外文期刊>International journal of knowledge and systems science >An Interval Linguistic Distribution Model for Multiple Attribute Decision Making Problems with Incomplete Linguistic Information
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An Interval Linguistic Distribution Model for Multiple Attribute Decision Making Problems with Incomplete Linguistic Information

机译：语言信息不完全的多属性决策问题的区间语言分布模型

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摘要

In this paper, the authors propose an interval linguistic distribution model for multiple attribute decision making (MADM) problems with incomplete linguistic information, in which they use intervals as evaluators' confidence levels indicating their belief degrees that a linguistic term fits an evaluation. By introducing the extent of ignoring information into this model, it can deal with incomplete linguistic assessments and then allow evaluators to avoid the dilemma that they have to supply complete assessments when not available. In addition, the uncertain subjective judgments on attributes of alternatives are represented as distributions on the linguistic term set used as an instrument for assessment in this model. This feature can be regarded as a measure for evaluators to handle uncertain information. The aggregation operators and expected utilities are also introduced for the purpose of aggregation and ranking problems of interval linguistic distributions. Finally, an example is used to illuminate the proposed model.
机译：在本文中，作者提出了一种用于不完整语言信息的多属性决策（MADM）问题的区间语言分布模型，其中他们使用区间作为评估者的置信度，表明他们对语言术语适合评估的置信度。通过在模型中引入忽略信息的程度，它可以处理不完整的语言评估，然后使评估者避免了在不可用时必须提供完整评估的难题。此外，对备选方案属性的不确定主观判断表示为语言术语集的分布，该语言术语集用作此模型中的评估工具。此功能可以视为评估人员处理不确定信息的一种措施。还引入了聚合运算符和预期效用，以用于聚合和对区间语言分布进行排序。最后，使用一个例子来阐明所提出的模型。

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