Logarithmic Similarity Measure of Neutrosophic Z-Number Sets for Undergraduate Teaching Quality Evaluation

Abstract

In practical decision-making problems, the different reliability levels of decision-makers 
in their evaluation information are usually ignored by most existing decision-making methods. 
Then, a neutrosophic Z-number (NZN) is a powerful model for simultaneously describing the 
restraint and associated reliability of evaluation information in view of truth, indeterminacy, and 
falsity Z-numbers. This paper first proposed a logarithmic similarity measure (LSM) of NZN sets, 
which is more flexible and can change its measure result by adjusting the exponential parameters 
of the restraint and reliability. Then, a multi-attribute decision-making approach is developed based 
on the presented LSM of NZN sets, and its applicability and flexibility are further illustrated by a 
case study of undergraduate teaching quality assessment. 

DOI: 10.5281/zenodo.10976476