V.V. Borisov

Results of comparison of the basic intellectual technologies for analytical tasks of decision-making support are submitted: fuzzy, neuronet, evolutionary modeling. Tendencies and directions of development of these technologies are determined. Hybridization of intellectual technologies on the basis of a principle of «Soft Computing» mutually allows these technologies to supplement each other. Hybridization compensates of restrictions of each of these technologies separately, and also it provides tolerance to uncertainty and the partial validity of the used data for achievement of flexibility and low cost of decisions. The following methods of hybridization of intellectual technologies are considered: hybridization with functional replacement - as dominant technology (model) is considered one technology (model), and its separate components is replaced by components of other technologies (models); hybridization with interaction - technologies (models) are used rather independently, and thus, they carry out various tasks for achievement of an common purpose; polymorphic hybridization - one technology (model) is applied to imitation and realization of functioning of other technology (model) Methods of hybridization are considered, and also ways of their realization are shown. Examples both for various intellectual technologies and for separate technology are considered. The approach to classification and to realization of these methods of hybridization of intellectual technologies is offered. This approach allows to systematize existing hybrid models, and also it enable for creation