National University of Science and Technology—NUST MISIS, Moscow, Russia

Trofimov V. B., Associate Professor, Candidate of Engineering Sciences
Temkin I. O., Head of Department, Doctor of Engineering Sciences, igortemkin@yandex.ru
Solodov S. V., Director of College of Information Technologies and Computer Sciences, Candidate of Engineering Sciences

The article discusses the Case-Based Reasoning method which enables solving new problems that may arise during decision-making by using or adapting solutions of the similar known problems on the basis of accumulated data and knowledge on past situations or cases contained in a knowledge base. The metrics of similarity between the parameters of a current situation and previous cases, and the methods to retrieve and adapt the cases are described. The case information model used for the process management is presented and exemplified. The conditions and ranges of efficient case-based reasoning application in the socio-technical system control in case of nonstationary, nonlinear and sluggish processes are discussed. The authors propose the procedure for searching similar cases using the classical metrics and the Random Forest method, and describe the generalized control of a complex process or an object using the concepts of the industrial internet of things and the case-based reasoning.

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