Abstract
In this paper a method of assumming a single value to a variable fuzzily restricted by a possibility distribution has been presented. The generated value of a random variable consistent with the possibility distribution has been accepted as a temporary, unique value of a fuzzy variable. The presented approach forms a basis for an automatic interpreter (interpretation or defuzzification procedure) of fuzzy results, e.g., fuzzy decisions, outputs or instructions. The approach may be used in simulation models where only some variables and parameters can be modelled by random variables based on objective data but about the remaining variables there is only inexact information.
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© 1988 Springer-Verlag Berlin Heidelberg
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Chanas, S., Nowakowski, M. (1988). From Fuzzy Data to a Single Action — A Simulation Approach. In: Kacprzyk, J., Fedrizzi, M. (eds) Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46644-1_23
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DOI: https://doi.org/10.1007/978-3-642-46644-1_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50005-6
Online ISBN: 978-3-642-46644-1
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