1 Affiliation : School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi, China
Email : firstname.lastname@example.org
2 Affiliation : School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi, China
Email : email@example.com
3 Affiliation : Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan 030006, Shanxi, China
Email : firstname.lastname@example.org
In most realistic situations, the theory and method of multi-attribute decision-making have been widely used in different fields, such as engineering, economy, management, military, and others. Although many studies in some extended fuzzy contexts have been explored with multi-attribute decision-making, it is widely recognized that single-valued neutrosophic sets can describe incomplete, indeterminate and inconsistent information more easier. In this paper, aiming at addressing multi-attribute decision-making problems with single-valued neutrosophic information, related models and multi-attribute decision-making approaches based on the fuzzy graph theory are studied. In specific, the notion of single-valued neutrosophic sets and graphs is firstly introduced together with several common operational laws. Then a multi-attribute decision making method based on single-valued neutrosophic graphs is established. Finally, an illustrative example and a comparative analysis are conducted to verify the feasibility and efficiency of the proposed method.
single-valued neutrosophic sets; multi-attribute decision-making; fuzzy graph theory; single-valued neutrosophic graphs
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