A decision making approach for finding cause of disease under hesitant fuzzy environment

Abstract

In medical science it is said that prevention is better than cure. Nowadays, medical science has been developed in such a way that almost all of the disease are becoming near to curable. Though, we should prevent the diseases by knowing the exact reason for disease. But, to find the exact reasons for any disease are a critical task and the cause may vary person to person. In this paper we are trying to develop a methodology using hesitant triangular fuzzy number to detect cause for diseases. In this paper, a new concept of expected value for hesitant triangular fuzzy number has been developed. Also, a numerical example has been worked out to show the usability of the methodology.