Abstract: Regional products classification and select is one of the most important and basic work in the regional economic development.When the products are selected and classified,we have to confirm such parameters as criteria's weights and categorized threshold values.This is a difficult job in practice.Focus on this kind of situation,a fuzzy interval clustering method on classification the regional products with incomplete uncertain information have proposed.This method structures a optimum fuzzy interval clustering model whose criteria's weights' information is incomplete uncertain,then solve the problem by GA and FCM jointly and get the criteria's weights,the optimum cluster center and the optimum partition,and then confirm the affiliation of all products.Finally,apply this method to the sureness of the product classification of a region and leading products,an example is given to show the feasibility and availability of this method.

Key words: the classification and selection on regional products, fuzzy interval clustering, genetic algorithm, improved FCM