Advances of Research in Fuzzy Integral for Classifiers' fusion

Abstract

Fuzzy Integral is compared with other two methods which are hot in studying of classifiers' fusion. The standard model of fuzzy integral and its general solution are introduced. Then, the state of the art and the challenge problems in fuzzy integral research field are discussed. The algorithms for standard and extended fuzzy integral models are briefly analyzed. Finally, the open areas of theoretic and applied research in fuzzy integral are brought forward.