Abstract
This paper deals with a medical decision problem on the choice of clinical tests or treatments for anovulatory (sterile) patients with functional infertility under the fuzzy information evaluated by a physician. He has to decide an appropriate action considering many aspects, such as effectiveness, cost, time, mental and physical pains, and etc., caused by clinical tests and or treatments. A fuzzy decision analysis technique developed here is one that contains such multi-objectives and also fuzzy information about the consequence of each attribute, the grade of disease group of anovulation and his medical knowledge and experience among diseases, clinical tests and treatments. Those information are measured by λ-fuzzy measure and a conditional fuzzy measure proposed by Sugeno. To give the best decision, the fuzzy expected utility for each alternative, which implies the grade of goodness, is calculated using the fuzzy integral.
As an application of fuzzy decision analysis on the choice of tests or treatments for anovulatory patients, forty three samples were examined on the basis of their clinical records under cooperation with a physician. As results of analysis, thirty seven samples gave the same agreements between the best action obtained through this analysis and the actual behavoir of the physician.
Finally, we got comments from the physician that this system worked as he did and that this could be a useful tool to support physicians' medical judgement and decision making.
