Research On Applications Of Fuzzy Integral In Multiple Analysis

Nowadays, people will deal with lots of fuzzy phenomenon by all means, but traditional methods are.insufficiency for fuzzy phenomenon obviously, more and more disagreement between accuracy and blurring states. In resent years, fuzzy measure and fuzzy integral theory was widely applied in comprehensive evaluation, clustering analysis, information identify and a good many otherwise fields. However, for the application theory of fuzzy integral in multiple analysis was dispersive and most papers searched for the theory in comprehensive evaluation only, so they can not solve class and information discern and otherwise problems efficiently. In the first place, we summarize the applications of fuzzy integral in comprehensive evaluation and clustering analysis, and perfect it in the two basic fields.In the new fields, especially about the hotspot issues in the recently years--support vector machines and algorithm genetic, we make out lots of investigation for the applications of fuzzy integral.We study the application of fuzzy integral in multiple analyses with much more discussion and research for realism problems and stress on introduce two kinds fuzzy integral based on gλfuzzy measure:Sugeno and Choquet integral, compared its applications in the experiment in this paper.In this paper, firstly we introduce the application of fuzzy integral in comprehensive evaluation, and then we summarize the theory of fuzzy integral in, and widely discuss the theory of fuzzy integral in support vector machines and genetic algorithm, in the end research for the application of fuzzy integral in neural network, given the applications of fuzzy integral in fusing aspect.