Abstract
As a subclass of neutrosophic sets, single-valued neutrosophic sets (SVNS) can be used to represent uncertainty and inconsistent information that exist in real-world situations. Information measures play an important role in SVNS theory, which has received more and more attention in recent years. In this paper, we develop a multi-attribute decision-making (MADM) method based on single-valued neutrosophic information measures. To this end, three axiomatic definitions of information measures are first introduced. These include entropy, similarity measure and cross-entropy. Then, we construct information measure formulas on the basis of the cosine function. The relationship among entropy, similarity measure and cross-entropy as well as their mutual transformations are further discussed. Moreover, an approach to single-valued neutrosophic MADM based on these information measure formulas is presented. Finally, a numerical example of city pollution evaluation is provided. The comparative analysis demonstrates the applicability and effectiveness of the proposed method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.