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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >An Approach to Uncertain Linguistic Multi-Attribute Group Decision Making Based on Interactive Index
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An Approach to Uncertain Linguistic Multi-Attribute Group Decision Making Based on Interactive Index

机译：基于交互式索引的不确定语言多属性群决策方法

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摘要

In this paper, two uncertain linguistic Choquet aggregation operators called the induced uncertain linguistic hybrid generalized Shapley Choquet weighted averaging (IULHGSCWA) operator and the induced uncertain linguistic hybrid generalized Shapley Choquet geometric mean (IULHGSCGM) operator are defined. To reduce the complexity of solving a fuzzy measure, the induced uncertain linguistic hybrid 2-additive generalized Shapley Choquet weighted averaging (IULHAGSCWA) operator and the induced uncertain linguistic hybrid 2-additive generalized Shapley Choquet geometric mean (IULHAGSCGM) operator are presented. When the weight information is incompletely known, models for the optimal fuzzy measures on an expert set, on an attribute set and on their ordered sets are built, respectively. Furthermore, an approach to multi-attribute group decision making under uncertain linguistic environment is developed, which can cope with the interdependent or correlative characteristics between elements. Finally, practical application is selected to illustrate the validity and practicability of the developed procedure.
机译：本文定义了两个不确定的语言Choquet聚合算子，分别是诱导不确定语言混合广义Shapley Choquet加权平均算子（IULHGSCWA）和诱导不确定语言混合广义Shapley Choquet几何均值（IULHGSCGM）算子。为了降低求解模糊度量的复杂性，提出了诱导不确定语言混合2加法广义Shapley Choquet加权平均（IULHAGSCWA）算符和诱导不确定语言混合2加法广义Shapley Choquet几何均值（IULHAGSCGM）算符。当权重信息不完全已知时，分别建立专家集，属性集和有序集上的最佳模糊测度模型。此外，提出了一种在不确定的语言环境下进行多属性群体决策的方法，该方法可以应对要素之间的相互依存或相关特性。最后，选择实际应用来说明所开发程序的有效性和实用性。

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