A Neutrosophic Normal Cloud and Its Application in Decision-Making

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Abstract

In this study, a neutrosophic normal cloud (NNC) and several other related concepts, including a backward cloud generator, two aggregated operators, and an NNC distance measurement, are proposed. Using these concepts, we also construct a multi-criteria group decision-making approach to single-value neutrosophic environments. In the proposed approach, all evaluations provided by decision-makers are aggregated via the backward cloud generator. The resulting NNC reflects the distribution of customer evaluations. An empirical example and a comparative study are also provided in order to illustrate and validate the proposed approach. The results of an empirical case study using data from Tmall.com indicate that the proposed approach could be effectively applied to practical problems.

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Zhang, H. yu, Ji, P., Wang, J. qiang, & Chen, X. hong. (2016). A Neutrosophic Normal Cloud and Its Application in Decision-Making. Cognitive Computation, 8(4), 649–669. https://doi.org/10.1007/s12559-016-9394-8

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