Model for Neutrosophic Multiple Attribute Decision Making and Their Application to Credit Risk Evaluation of Small New Venture’ Indirect Financing
نویسنده
چکیده
With respect to single-valued neutrosophic multiple attribute decision making problems with completely unknown weight information, some operational laws of single-valued neutrosophic numbers, score function and accuracy function of single-valued neutrosophic numbers are introduced. To determine the attribute weights, a model based on the information entropy, by which the attribute weights can be determined, is established. We utilize the single-valued neutrosophic weighted averaging (SVNWA) operator to aggregate the single-valued neutrosophic information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example for evaluating the credit risk of small new venture’ indirect financing is given to verify the developed approach and to demonstrate its practicality and effectiveness.
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