A Novel Topsis Method for Multi-attribute Decision Making Based on D-anp and Single-valued Neutrosophic Sets Distance Measure.

Single-valued neutrosophic sets (SVNS) are proficient in conveying fuzzy information within the realm of multiple attribute decision making (MADM), and The TOPSIS method effectively ranks alternatives in MADM. Attribute weight and distance measurement are important steps in TOPSIS method. The focus of this paper is to propose a new attribute weight determination method in the SVNS environment, namely Decision Laboratory and Experimentation Method - Analytic Network Process (D-ANP). A new single-valued neutrosophic distance measure is also defined, namely single-valued neutrosophic Kulcynksi distance, and the effectiveness of the generalized single-valued neutrosophic Kulcynksi distance is proved. Finally, the proposed D-ANP method and the defined Kulcynksi distance are applied to the TOPSIS method of MADM, and the feasibility of the D-ANP method and Kulcynksi distance is verified through application examples. [ABSTRACT FROM AUTHOR]