It is obvious nowadays the problem that the conventional Data Base (DB) and Knowledge Base (KB) technologies are not satisfied to practical decision support. The decision maker used to have puzzled with the "shallow" data provided by conventional decision supporting system (DSS), which can not be fully argumented in the decisicion process. Thus the development of intelligent technologies capable to provide "Deep Knowledge" and "Deep Data" seems necessary. From unified fuzzy set approach, this paper deals with the reasoning and decision processes which are represented by fuzzy nearness degree and fuzzy similarity degree in a decision state space. Some developments in this regard are represented based on hierarchical subspaces of state parameters of the decision event. An example of decision making for bidding submitted by project contractor and supported by an intelligent data base is presented for the purpose of illustrating the techniques of this paper, in which the intelligent DB is inferred by fuzzy approach. Finally, the possibility of extending the method to machine learning is also discussed.

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