Fuzzy-possibilistic approach to managing the complexity of integrated information and control systems

Abstract

An example of creating a subsystem of managerial decision-making in the general structure of maintaining vertically integrated objects of economic activity in a working state as an element of a complex and purposefully complicated architecture of information and control systems is considered. The proposed approach is based on the complexity management methodology developed by the authors, which justifies the order of systematic and evolutionary replacement of decision makers at production facilities with functionally equivalent information-control software and hardware complexes. One of the most effective methods of forming a transparent mechanism for managerial decisionmaking that can become the main "decisive core" (knowledge base) for such complexes is the "fuzzy-possibilistic approach". The effectiveness of this approach lies in the possibility of using expert information to restore a complex multiconnected functional relationship between the actual production and technological characteristics of the process under study and management decisions made on their basis. An example of creating a knowledge base of control model for a process with a "fluidized bed" is given.