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 decision-making 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 multi-connected 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.

Keywords: control object, integrated control system, human factor, fuzzy-possibility approach, fluidized bed furnace, complexity control

References:

1. Vivchar R.M., Ptushkin A.I., Sokolov B.V. Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 2021, no. 2, pp. 1–15. (in Russ.)
2. Sokolov B.V., Yusupov R.M. Scientific Basis of Management and Cybernetics Methodologies Integration, 2022, vol. 442, LNNS, pp. 52–59.
3. Mikoni S.V., Sokolov B.V., Yusupov R.M. Kvalimetriya modeley i polimodel'nykh kompleksov (Qualimetry of Models and Polymodel Complexes), Moscow, 2018, 314 р. (in Russ.)
4. Spesivtsev A.V. Journal of Instrument Engineering, 2020, no. 11(63), pp. 985–995. (in Russ.)
5. Kimyaev I.T., Spesivtsev A.V. Artificial Intelligence Trends in Systems. CSOC 2022, Lecture Notes in Networks and Systems. Springer, Cham, 2022, vol. 502, https://doi.org/10.1007/978-3-031-09076-9_53/.
6. Kimyaev I.T. Intellektual'naya sistema upravleniya protsessom obzhiga sul'fidnogo nikelevogo kontsentrata v kipyashchem sloye (Na primere pechi Obzhigovogo tsekha Nikelevogo zavoda OAO «Noril'skaya gornaya kompaniya») (Intelligent Control System for the Process of Roasting Nickel Sulfide Concentrate in a Fluidized Bed (On the Example of the Furnace of the Roasting Shop of the Nickel Plant of OJSC Norilsk Mining Company)), Candidate’s thesis, Moscow, 2001. (in Russ.)
7. Kimyaev I.T., Salikhov Z.G., Spesivtsev A.V., Drozdov A.V. Izvestiya Vysshikh Uchebnykh Zavedenij. Tsvetnaya Metallurgiya, 2001, no. 1, pp. 74–77.