Neutrosophic Sets and Systems
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.
Recommended Citation
Chen, Wen-Ping; Yi-Ming Fang; and Wen-Hua Cui. "Logarithmic Similarity Measure of Neutrosophic Z-Number Sets for Undergraduate Teaching Quality Evaluation." Neutrosophic Sets and Systems 66, 1 (2024). https://digitalrepository.unm.edu/nss_journal/vol66/iss1/12
