Methods for Modeling and Optimizing the Delayed Coking Process in a Fuzzy Environment

Technological objects and processes are often characterized by fuzzy initial information necessary for developing their models optimization. The purpose of the study is to develop a method synthesizing linguistic described heuristic solving multicriteria optimization problem in environment. Based on expert assessments logical rules conditional inference, was developed describing with input output parameters. To solve optimization, based modification combination various optimality principles proposed. Coking reactor were modifying successive regression inclusion least squares method. Linguistic delayed coking process Fuzzy Logic Toolbox, allowing evaluate coke quality depending temperature pressure reactors. Using proposed method, two-criteria constraints solved. results confirm advantages approach compared well-known approaches. Unlike them, allows making adequate decisions environment maximizing use available information.