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Article type: Research Article
Authors: Ye, Jun; * | Du, Shigui | Yong, Rui | Zhang, Fangwei
Affiliations: School of Civil and Environmental Engineering, Ningbo University, Ningbo, P. R. China
Correspondence: [*] Corresponding author. Jun Ye, Tel.: +86 575 88327323; E-mails: yejun1@nbu.edu.cn. and E-mail: yehjun@aliyun.com.
Abstract: In indeterminate and inconsistent setting, existing simplified neutrosophic indeterminate set (SNIS) can be depicted by the neutrosophic number (NN) functions of the truth, falsity and indeterminacy. Then, the three NN functions in SNIS lack their refined expressions and then the simplified neutrosophic indeterminate decision making (DM) method cannot carry out the multicriteria DM problems with both criteria and sub-criteria in the setting of SNISs. To overcome the flaws, this study first proposes a new notion of a refined simplified neutrosophic indeterminate set (RSNIS), which is described by the refined truth, falsity and indeterminate NN information regarding both elements and sub-elements in a universe set, as the extension of SNIS. Next, we propose the arccosine and arctangent similarity measures of RSNISs and their multicriteria DM method with various indeterminate risk ranges so as to carry out multicriteria DM problems with weight values of both criteria and sub-criteria in RSNIS setting. Lastly, the proposed DM method is applied to a multicriteria DM example of slope design schemes for an open pit mine to illustrate its application in the indeterminate DM problem with RSNISs. The decision results and comparative analysis indicate the rationality and efficiency of the proposed DM method with different indeterminate risk ranges.
Keywords: Refined simplified neutrosophic indeterminate set, arccosine similarity measure, arctangent similarity measure, multicriteria decision making, Slope design scheme
DOI: 10.3233/JIFS-201571
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 9159-9171, 2021
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