AN APPLICATION OF INTUITIONISTIC FUZZY MULTISET DISTANCE MEASURE TO RADIOLOGICAL FINDING AND CLIMATE CHANGE

Abstract

A Distance measure of Intuitionistic fuzzy multiset plays a vital role in solving problems associated with uncertainties. Attempt were made by different researchers in making efforts to comes up with distance measure that will address the problems faced by decision makers especially when multiple criteria were involved,  in this paper, we look at the demerits of some of the existing distance measures and proposed a new one that will bridge the gaps of the existing ones, we then applied it in radiological findings, by considering four patients and five diseases, we discovered that while three patients were suffering from one disease or the other, the fourth patient is not suffering from any of the diseases, thus, we suggest further investigation on him. We also applied it to climate change by considering four areas affected by different types of erosion, and it was discovered that some areas were affected, while one area is not affected.