این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Industrial Engineering and Productional Research-، جلد ۳۳، شماره ۱، صفحات ۱-۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Determining the tariffs of physicians using a combined model of data mining techniques and fuzzy logic in health insurance
چکیده انگلیسی مقاله The health insurance system can play an effective role to control health expenditures. The purpose of this study is to provide a model for estimating the physician visit tariffs. To achieve this goal, a hybrid model was used. fuzzy logic is the most appropriate tool for controlling systems and deriving rules for the relationship between inputs and outputs. So, the output of the data mining techniques enter the fuzzy logic as an input variable. The data were collected from the Health Insurance Organization of Iran in two sections including the physicians' costs and physicians' deductions. Owing to the techniques used in this model, NN had the least error, as compared to other data mining techniques (0.0034 and 0.0013, respectively). After defining the variables, membership functions and fuzzy logic rules, the accuracy of the whole control model was confirmed by random data. This research has dealt with the domains of health insurance , their connections and defining effective variables better and more extensively than the other studies in the field.
کلیدواژه‌های انگلیسی مقاله Data mining technique,Fuzzy logic,Health insurance,Tariffs for physicians,Neural network
نویسندگان مقاله | Amir Akbarzadeh janatabad
Department of Industrial Engineering, Yazd University, Iran


| Ahmad Sadegheih
Department of Industrial Engineering, Yazd University, Iran


| mohammad mehdi lotfi
Department of Industrial Engineering, Yazd University, Iran


| Ali Mostafaeipour
Department of Industrial Engineering, Yazd University, Iran
نشانی اینترنتی http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-2349-1&slc_lang=en&sid=1
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده سیستم های هوشمند
نوع مقاله منتشر شده پژوهشی
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات