MAGDM Model Using the Exponential Similarity Measure of Neutrosophic Confidence Cubic Sets in a Single-Valued Neutrosophic Multivalued Circumstance

Probability estimation of small sample data is a key tool to ensure the probability that fall within confidence interval at certain level and distribution, which shows its advantages in practical engineering applications. Then, regarding group decision-making (GDM) problem situation indeterminacy inconsistency, several experts/decision makers will assign true, false, indeterminate fuzzy values evaluation each alternative over different attributes, then form single-valued neutrosophic multivalued set (SvNMVS) as their assessed information. To some circumstance SvNMVSs GDM reliability, this paper aims propose conversion technique from SvNMVS cubic (NCCS) model using exponential similarity measure NCCSs SvNMVSs. First, we give definition NCCS, transformed terms average intervals sequences subject conditions normal distribution levels. Second, present weighted characteristics. Third, developed by Fourth, applied choice case landslide treatment schemes reveal usability suitability actual problems. Compared with existing models, indicates superiorities decision flexibility credibility/reliability 90%, 95%, 99%