Classification of fibromyalgia syndrome by using fuzzy logic method

Fibromyalgia syndrome (FMS), which appears frequently in females, exhibits itself the form of common pain and decreases life quality of a person significantly, is a musculoskeletal disease. Nowadays FMS diagnosis can be made according to the strict rules set by American College of Rheumatology (ACR). However, using strict rules in making diagnosis of FMS disease is not suitable, because FMS is affected from a good many systems and caused to complicated complaints. On the other hand the fuzzy logic method provides a flexible classification, because it has a rule base set by experts´ personal experience alongside the ACR criteria. In this study a classification that is based on fuzzy logic is done for FMS. The measurements are taken from 30 healthy and 60 patient subjects who are also under cure at Suleyman Demirel University, Faculty of Medicine, Physiotherapy and Rehabilitation Center. Consistent results are obtained from comparing the fuzzy logic and experts´ comments and experiences for the classification both classification disease and disease´s degree.