Creation of intellectual decision-making systems in industry based on hybrid computing methods

International Scientific Conference "Digital Transformation on Manufacturing, Infrastructure and Service"

Korjagin, Sergey^1 ; Zarov, Vladimir^2 ; Klachek, Pavel^1 ; Polupan, Kseniya^1

Immanuel Kant Baltic Federal University, Nevskogo st., 14A, Kaliningrad

236016, Russia^1

Murmansk Arctic State University Branch, Lesnaya st., 29, Apatity

184209, Russia^2

关键词: Automated solutions;    Collective decision making;    Complex applications;    Decision-making systems;    Hybrid computational intelligence;    Intellectual systems;    Laboratory experiments;    Perspective approach;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/497/1/012077/pdf
DOI  :  10.1088/1757-899X/497/1/012077

来源: IOP

【 摘 要 】

This paper describes the promising approach in creating applied intellectual decision-making systems in industry (different types) of the new generation, based on authors synergetic collective decision-making model and methods of hybrid computational intelligence, which allows us to significantly increase the quality of the results of computer-aided solutions to complex applied problems in information variety and heterogeneity as well as to enhance decision-making by reducing losses from erroneous and individual solutions which are irrelevant to the problem complexity. There is an example of successful application of proposed methods in modeling significant class of complex application systems in medical industry, i.e. multicomponent, poorly formalized systems functioning in various types of uncertainty. The paper presents perspective approach in the field of creation of applied intellectual systems of decision-making of new generation, on the basis of author's synergetic model of collective decision-making and methods of hybrid computing intelligence. This approach allows to significantly increase quality of results of the automated solution of complex applied challenges in the conditions of a variety and heterogeneity of information, and also to increase efficiency of decision-making due to reduction of losses from wrong and irrelevant difficulties of a task of individual decisions that results of laboratory experiments confirm.