Інтелектуальні системи підтримання прийняття рішень у розвитку інфраструктури мегаполісу

• Main Authors: Trofymchuk, Oleksandr, Stenin, Aleksandr, Soldatova, Maria, Drozdovich, Irina
• Format: Article
• Language: English
• Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2022
• Subjects: мегаполіс; інфраструктурні об’єкти; інтелектуальна система підтримання прийняття рішень; лінгво-числове оцінювання альтернатив; нечіткий ситуаційний алгоритм; megapolis; infrastructure entities; intelligent decision support system; linguo-numerical evaluation of alternatives; fuzzy situational algorithm
• Online Access: http://journal.iasa.kpi.ua/article/view/265576

From the point of view of the management theory, a megapolis is a complex non-stationary spatial system. The problem of making innovative decisions on the development of their infrastructure is caused by the presence of a large amount of information, its uncertainty and inconsistency. This article discusses the principles of building intelligent decision support systems of a situational type for the innovative development of the infrastructure of megacities. Solutions are formed by logico-analytical processing of data on the situation in general and special cases of situations for the considered subject of the megalopolis infrastructure. For the practical implementation of the decision-making mechanism, the article proposes a linguistic-numerical method for determining the potentially best alternative and a fuzzy situational algorithm for managing the subjects of the megalopolis infrastructure, based on the structural generality of the situations of a fuzzy situational network. The obtained results were tested on two real infrastructure subjects of Kyiv.