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Cognitive Computation
Erschienen in: Cognitive Computation 4/2016

01.08.2016

A Neutrosophic Normal Cloud and Its Application in Decision-Making

verfasst von: Hong-yu Zhang, Pu Ji, Jian-qiang Wang, Xiao-hong Chen

Erschienen in: Cognitive Computation | Ausgabe 4/2016

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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.
Vorheriger Artikel Erratum to: A New Spatio-Temporal Saliency-Based Video Object Segmentation
Nächster Artikel A Likelihood-Based Qualitative Flexible Approach with Hesitant Fuzzy Linguistic Information

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Metadaten
Titel
A Neutrosophic Normal Cloud and Its Application in Decision-Making
verfasst von
Hong-yu Zhang
Pu Ji
Jian-qiang Wang
Xiao-hong Chen
Publikationsdatum
01.08.2016
Verlag
Springer US
Erschienen in
Cognitive Computation / Ausgabe 4/2016
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-016-9394-8

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