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A novel decision-making method using K-Norm concept and VIKOR approach under picture fuzzy environment

机译:一种新的决策方法,采用K-Norm Concept和Vikor方法在图片模糊环境下

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摘要

The Picture Fuzzy Sets (PFS) are well suitable to capture inconsistent, imprecise and uncertain information in multiple-criteria decision-making problems. This communication is intended to introduce one such information measure defined on PFSs called R-norm picture fuzzy information measure. Moreover, a new set of axioms is proposed as a criteria for picture fuzzy entropy. Besides establishing the validity of proposed R-norm picture fuzzy information measure, some of its major properties are also discussed. In application part, the proposed information measure is applied in predicting the outcome of elections in a poll bound country through opinion polls and to solve an investment problem. (C) 2020 Elsevier Ltd. All rights reserved.
机译:图片模糊集(PFS)很好地适用于在多标准决策问题中捕获不一致,不精确和不确定的信息。该通信旨在介绍一种在称为R-NARM图片模糊信息测量的PFS上定义的一个这样的信息测量。此外,建议新的一组公理作为图片模糊熵的标准。除了建立所提出的R-NARM图片模糊信息措施的有效性外,还讨论了一些主要性质。在申请部分中,拟议的信息措施应用于通过民意调查预测民意调查国家选举的结果,并解决投资问题。 (c)2020 elestvier有限公司保留所有权利。

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