Correlation coefficients of simplified neutrosophic sets and their multiple attribute decision-making method

نویسنده

  • Jun Ye
چکیده

The paper presents two new correlation coefficients of simplified neutrosophic sets (SNSs) as the further extension of the correlation coefficient of single valued neutrosophic sets (SVNSs) and investigates their properties. Then a multiple attribute decision-making method is proposed based on the weighted correlation coefficients of SNSs, in which the evaluation information for alternatives with respect to attributes is represented by the form of simplified neutrosophic values under simplified neutrosophic environment. We utilize the weighted correlation coefficients between each alternative and the ideal alternative to rank the alternatives and to determine the best one(s). Finally, an illustrative example demonstrates the application and effectiveness of the proposed decision-making method.

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تاریخ انتشار 2013