A New Medical Diagnosis Method Based on Z-Numbers
  How to handle uncertainty in medical diagnosis is an open issue. In this
paper, a new decision making methodology based on Z-numbers is presented.
Firstly, the experts' opinions are represented by Z-numbers. Z-number is an
ordered pair of fuzzy numbers denoted as Z = (A, B). Then, a new method for
ranking fuzzy numbers is proposed. And based on the proposed fuzzy number
ranking method, a novel method is presented to transform the Z-numbers into
Basic Probability Assignment (BPA). As a result, the information from different
sources is combined by the Dempster' combination rule. The final decision
making is more reasonable due to the advantage of information fusion. Finally,
two experiments, risk analysis and medical diagnosis, are illustrated to show
the efficiency of the proposed methodology.
