Solution on Decision Support in Determining of Repair Actions Using Fuzzy Logic and Agent System

Autor:	Maxim Vladimirovich Denisov, Valery Kamaev, Anna Matohina, Alexey Kizim, Svetlana V. Davydova
Rok vydání:	2014
Předmět:	Structure (mathematical logic) Decision support system Engineering Artificial neural network business.industry Process (engineering) Multi-agent system Control engineering computer.software_genre Fuzzy logic System model Intelligent agent business computer
Zdroj:	Communications in Computer and Information Science ISBN: 9783319118536 JCKBSE
DOI:	10.1007/978-3-319-11854-3_46
Popis:	The paper describes the structure of a decision support for the industrial equipment maintenance and repair (MR) process based on multi-agent systems and fuzzy logic based on neural networks. The solutions of agent system‘s basic subsystems and interaction mechanisms are described. The stages of the maintenance and repair organization continuous improvement process are described. The multi-agent system model was developed and examined on example of road equipment repair. Obtained results are allows to perform the equipment maintenance and repair much better.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d69de1c4462c04ece23fc3ba6ad35a0c https://doi.org/10.1007/978-3-319-11854-3_46 Zobrazit plný text záznamu