A novel hybrid distance-based similarity measures for n-valued neutrosophic trapezoidal numbers and its applications

Abstract

This paper presents an innovative decision-making method that integrates similarity and Hybrid 
distance measure techniques within the context of N-valued neutrosophic trapezoidal (NVNT) numbers. The 
theoretical foundations and essential properties of the proposed similarity measure are rigorously established. 
Building upon this, a method is developed to address multi-criteria decision-making (MCDM) problems 
utilizing the proposed measure within the NVNT environment. To validate the effectiveness of the approach, a 
detailed numerical example is provided. Furthermore, a comparative analysis is conducted against existing 
MCDM methodologies designed for NVNT-numbers. The results reveal that the proposed method 
demonstrates superior performance and enhanced flexibility in managing uncertainty and imprecision when 
compared to conventional techniques. 

DOI: 10.5281/zenodo.17074259