Fuzzy Causal Simulation in Process Engineering
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Naive Physics. Pages 1536-1542.
Abstract
This paper presents a causal· simulation method for incompletely known dynamic systems in process engineering. The causal model of a process is represented as both a causal network of interacting elementary dynamic systems, called qualitative aut.omata. influencing one another, and a set of qualitative constraints linking possibly several of such automata . Associated with each influence is a weight which expresses its sensitivity. A procedure is presented which allows us to generate fuzzy weights from the relative order of magnitude relations between them. Formulae preserving non-linearities and fulfilling some relevant requirements are provided to compute net influences on extensive variables as well as on intensive ones. Finally an algorithm is given for simulating the causal model, and an example application to a fed-batch fermentation process is presented.
@inproceedings{ijcai1993p213,
title = {Fuzzy Causal Simulation in Process Engineering},
author = {Bousson, Kouamana and Travé-Massuyès, Louise},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {1536--1542},
year = {1993},
note = {Qualitative Reasoning and Naive Physics},
url = {https://ijcai.org/proceedings/1993/213},
}
TY - CPAPER TI - Fuzzy Causal Simulation in Process Engineering AU - Bousson, Kouamana AU - Travé-Massuyès, Louise T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 1536 EP - 1542 UR - https://ijcai.org/proceedings/1993/213 ER -Copied
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