8. Rule extraction from employees' medical expenses using Bernstein polinomial

Abstract

Fuzzy IDS is a popular and efficient method of making a decision tree for classification from symbolic and numeric data with small computational cost. In this paper, a decision tree for employees' medical expenses in a corporation is induced in the form of fuzzy if-then rules. LMS learning is applied for tuning consequent part of the fuzzy rules.