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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 3/2018

20.07.2016 | Original Article

Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making

verfasst von: Vakkas Uluçay, Irfan Deli, Mehmet Şahin

Erschienen in: Neural Computing and Applications | Ausgabe 3/2018

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Abstract

In this paper, we introduced some similarity measures for bipolar neutrosophic sets such as; Dice similarity measure, weighted Dice similarity measure, Hybrid vector similarity measure and weighted Hybrid vector similarity measure. Also we examine the propositions of the similarity measures. Furthermore, a multi-criteria decision-making method for bipolar neutrosophic set is developed based on these given similarity measures. Then, a practical example is shown to verify the feasibility of the new method. Finally, we compare the proposed method with the existing methods in order to demonstrate the practicality and effectiveness of the developed method in this paper.
Vorheriger Artikel Symbiotic organisms search optimization algorithm for economic/emission dispatch problem in power systems
Nächster Artikel A new hybrid method for time series forecasting: AR–ANFIS

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Metadaten
Titel
Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making
verfasst von
Vakkas Uluçay
Irfan Deli
Mehmet Şahin
Publikationsdatum
20.07.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 3/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2479-1

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