Abstract

The paper is preoccupied with application of an expert system in the management of a process with one input and one output, using the fuzzy set theory. It resolves the problem of formalization of a verbal description of the process management coupled with the use of process operator’s experience. The procedure that calculates regulatory intervention in the process is presented and accompanied by graphical illustrations.

Highlights

  • Automation of technological processes requires a computer simulation of the process operator’s work

  • Every implication between fuzzy sets can be expressed as a set AxB of pairs (x,y) with degree of membership of (x,y) in AxB given by AxB(x,y) = min(Ax,By)

  • Automation of technological process management is a subject of intensive study

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Summary

INTRODUCTION

Automation of technological processes requires a computer simulation of the process operator’s work. There are many examples of simulations which do not achieve the managerial level performed by man as an operator, no matter how complex these simulations are Such problems occur, for instance, in processes whose outcome strongly depends on the operator’s experience. The so-called decision rules constitute one of the key stages when creating an ES These rules are based on experts’ experience, and it is in this stage that difficulties arise because experts often use terminology which is very hard to formalize. We aim to show a simulation using the aforementioned mathematical tools, taking as an example the management of a process with one input and one output Generalization of such procedure to the case with more than one input is straightforward.

Parameter for regulation
PROCESS MANAGEMENT USING EXPERT SYSTEM
MATHEMATICAL REASONING BEHIND THE CALCULATION
CONCLUSION
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