Abstract

Molodtsov originated soft set theory that was provided a general mathematical framework for handling with uncertainties in which we meet the data by affix parameterized factor during the information analysis as differentiated to fuzzy as well as neutrosophic set theory. The main object of this paper is to lay a foundation for providing a new approach of single-valued neutrosophic soft tool which is considering many problems that contain uncertainties. In present study, a new aggregation operators of single-valued neutrosophic soft numbers have so far not yet been applied for ranking of the alternatives in decision-making problems. To this propose work, single-valued neutrosophic soft weighted arithmetic averaging (SVNSWA) operator, single-valued neutrosophic soft weighted geometric averaging (SVNSWGA) operator have been used to compare two single-valued neutrosophic soft numbers (SVNSNs) for aggregating different single-valued neutrosophic soft input arguments in neutrosophic soft environment. Then, its related properties have been investigated. Finally, a practical example for Medical diagnosis problems provided to test the feasibility and applicability of the proposed work.

Highlights

  • Multi-criteria decision-making (MCDM) problems seek great attention in modern decision science.The method is addressed to select the best alternative among the finite set of alternatives as claimed by decision makers under the preference values of the alternatives

  • For the sake of simplicity, we denote the pair of Cet = {h Tc ( x ), Ic ( x ), Fc ( x )i| xs ∈ U }, i.e., Cest = h Tst, Ist, Fst i is called as single-valued neutrosophic soft (SVNSN) numbers

  • We have studied multi-criteria group decision-making problem using in the environment of single-valued neutrosophic soft information

Read more

Summary

Introduction

Multi-criteria decision-making (MCDM) problems seek great attention in modern decision science. To the best of our knowledge, the research developed on FSS and SVNSS is only about their basic theory and its applications, but, there have been no research done on single-valued neutrosophic soft aggregation numbers. It is a new issue and have a scope for future development in decision science. Decision-making problems in single-valued neutrosophic soft environment under proposed aggregation operators which makes us enough motivation to develop the propose problems. In Section, we utilize those operators to create single-valued neutrosophic soft multi-criteria group decision-making problems.

Literature Review
Basic Concepts of FSS and SVNSS
Operational Law for SVNSNs
Model for MCDM Method Using Single-Valued Soft Information
Numerical Example
By SVNSWA Operator
By Using SVNSWGA Operator
Comparative Analysis
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

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.