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Open AccessArticle

Multiple Attribute Decision-Making Method Using Similarity Measures of Neutrosophic Cubic Sets

1
School of Mechatronic Engineering and Automation, Shanghai University, 149 Yanchang Road, Shanghai 200072, China
2
Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing 312000, China
*
Author to whom correspondence should be addressed.
Symmetry 2018, 10(6), 215; https://doi.org/10.3390/sym10060215
Received: 18 May 2018 / Revised: 3 June 2018 / Accepted: 11 June 2018 / Published: 12 June 2018
In inconsistent and indeterminate settings, as a usual tool, the neutrosophic cubic set (NCS) containing single-valued neutrosophic numbers and interval neutrosophic numbers can be applied in decision-making to present its partial indeterminate and partial determinate information. However, a few researchers have studied neutrosophic cubic decision-making problems, where the similarity measure of NCSs is one of the useful measure methods. For this work, we propose the Dice, cotangent, and Jaccard measures between NCSs, and indicate their properties. Then, under an NCS environment, the similarity measures-based decision-making method of multiple attributes is developed. In the decision-making process, all the alternatives are ranked by the similarity measure of each alternative and the ideal solution to obtain the best one. Finally, two practical examples are applied to indicate the feasibility and effectiveness of the developed method. View Full-Text
Keywords: similarity measures; neutrosophic cubic set; decision-making similarity measures; neutrosophic cubic set; decision-making
MDPI and ACS Style

Tu, A.; Ye, J.; Wang, B. Multiple Attribute Decision-Making Method Using Similarity Measures of Neutrosophic Cubic Sets. Symmetry 2018, 10, 215.

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