Information measures for MADM under m-polar neutrosophic environment

Multiploar information plays a vital role in making reliable decisions one’s daily life encompassing micro- to large-scale decisions. These decision-making problems often include imprecise and inconsistent data. This article presents measures for m-polar neutrosophic sets. similarity, distance, correlation, divergence Dice Furthermore, the paper desirable characteristics of these along with notions angle similarity between two sets, $$\lambda$$ -similarity, entropy less more fuzzy aspects. The also an application sets using suggested health sciences accompanied by five algorithms. Moreover, comparative analysis proposed some existing measures.