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On the fuzzy logic for rule based modeling and process simulation
Author(s) -
Qian Yu,
Zhang PeiRong
Publication year - 1999
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450770130
Subject(s) - computer science , fuzzy logic , process (computing) , slicing , fuzzy rule , artificial intelligence , fuzzy control system , programming language , world wide web
Some chemical processes are not well understood, and not easy to analyze and simulate with conventional mathematical approaches. A rule based approach is proposed in this paper to model such process units. Conversion between fuzzy and crisp numbers at the input and output of these units is discussed in details and a slicing conversion approach is proposed. It is shown from a case study that the approach provides a way to incorporate fuzzy models into conventional process simulators.