Intelligent process support for corporate decision making

ABSTRACT Computer-based support for decision-making, with the use of Decision Support Systems (DSS), has focused mainly on primary decision processes, i.e. data and model manipulation, and failed to take explicitly into account the need to model the secondary decision processes, i.e. support on how to decide about the use of specific data and models. The main premise of the present paper is that effective, intelligent support of the secondary decision processes could be developed by exploiting the possibilities of coupling DSS and expert system (ES) approaches. Although such an integration has been flourishing in the literature, with the advent of Intelligent Decision Support Systems (IDSS), no efforts have been made to examine its potential for enhancing the support to secondary decision processes. The paper presents an IDSS architecture that models in a systematic way the decision—making process and illustrates the use of the architecture for the development of an intelligent system for business forecas...

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