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 modelfor simultaneously describingthe 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 approachis developed based on the presentedLSM of NZN sets, and its applicability and flexibility are further illustrated by a case study of undergraduate teaching quality assessment.

Keywords

• teaching quality evaluation
• neutrosophic z-number
• logarithmic similarity measure
• confidence degree