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Fuzzy system dynamics: An approach to vague and qualitative variables in simulation
Author(s) -
Tessem Bjørnar,
Davidsen Pål I.
Publication year - 1994
Publication title -
system dynamics review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 57
eISSN - 1099-1727
pISSN - 0883-7066
DOI - 10.1002/sdr.4260100104
Subject(s) - vagueness , fuzzy logic , probabilistic logic , computer science , fuzzy number , nonlinear system , simple (philosophy) , mathematical optimization , mathematics , artificial intelligence , fuzzy set , philosophy , physics , epistemology , quantum mechanics
The application of fuzzy numbers is suggested as an alternative to probabilistic methods for the management of uncertainty and vagueness in system dynamics models. Fuzzy numbers are particularly well suited for representing qualitative values and are used during simulation. To handle interaction among variables, we utilize global optimization methods. In nonlinear models, however, our implementation does not suffice. We illustrate the use of fuzzy numbers, qualitative values, and the problems of implementation by some simple examples.