Decision making for medical diagnosis through credibility theory

Abstract

The area of medical diagnosis becomes more important and interesting for application of fuzzy variables due to imprecise, vague, uncertain character of medical information and documentation as well. Although numerous studies have been encountered in recent decades, however most of the studies lead to counterintuitive output more often. Keeping this in mind, this article presents an effort to carry out medical diagnosis using credibility distribution and for this purpose an algorithm has been formulated. It is observed that the present approach provides realistic and analytically correct result which also tallies with human intuition.