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Automation of fuzzy multi-criteria selection of robotic machine-assembly technologies using worst-case approach

Valery Kyrylovych, Л. Дімітров, Ilona Kryzhanivska, Petro Melnychuk

Year
2019
Citations
2
Access
Open access

Abstract

In this paper a new method of selection of robotic machine-assembly technology is presented. The core of the technology suggested is the method of fuzzy multi-criteria alternatives selection using the worst-case approach. The automation of the proposed solution is based on the original WMS (Worst Method Solution) software, developed by authors. In the basis of this software are the ideas of robotic machine-assembly technology and its theoretical formalization.

Keywords

AutomationSelection (genetic algorithm)SoftwareComputer scienceFuzzy logicRobotCore (optical fiber)Artificial intelligenceIndustrial engineeringEngineering

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