Abstract
Section 1 (S1) describes specifically the problems to be discussed in succeeding chapters. In S2 a short analysis of the modeling process suggests that information and uncertainty will be key concepts in the development of new mathematical structures for pattern recognition. Fuzzy sets are introduced in the third section as a natural and tractable way to model physical situations which seem to require something more than is offered by deterministic or stochastic representations.
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© 1981 Plenum Press, New York
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Bezdek, J.C. (1981). Models for Pattern Recognition. In: Pattern Recognition with Fuzzy Objective Function Algorithms. Advanced Applications in Pattern Recognition. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-0450-1_1
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DOI: https://doi.org/10.1007/978-1-4757-0450-1_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-0452-5
Online ISBN: 978-1-4757-0450-1
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