How Expert is EXPERT for Fuzzy Logic-Based System!

Anesthesia, an utmost important activity in operation theater, solely depends upon anesthesiologist, an expert. In the case of absence of expertise, drug dosing may go under-dose or overdose. To overcome this problem, an expert-based system can be designed to guide newcomers in the field of anesthesia. This structure is called as decision support system. As this system is dependent on experts' knowledge base, its performance depends on the expert's expertise which can be validated by comparison with other expert's knowledge base and finding maximum correlation among them. This paper demonstrates the application of prehistoric Gower's coefficient to validate the expert's expertise for fuzzy logic-based experts' system. Database is collected from ten experts. For the 80% level of confidence, eight experts are classified into one group leaving two aside. Database of these eight experts is used for the design of decision support system. A set of 270 results noted from decision support system is validated from the expert. Out of 270, expert declines 3 decisions accepting 98.88% result.