Abstract
The problem of constructing adequate fuzzy inclusions goes far out of the bounds of decision-making. Fuzzy inclusion represents one of the basic tools in Fuzzy Set Theory. An intuitive motivation of the necessity of a comprehensive study of this topic is a need for “soft” models of inclusion between fuzzy subsets (and, maybe, even between crisp subsets), satisfying the continuity requirements.
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Notes
Continuous t-norms of this class are equivalent to Lukasiewicz’ norm — see, e.g. (Ovchinnikov and Roubens [1]).
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© 1993 Springer Science+Business Media New York
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Kitainik, L. (1993). Fuzzy Inclusions. In: Fuzzy Decision Procedures with Binary Relations. Theory and Decision Library, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1960-3_6
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DOI: https://doi.org/10.1007/978-94-011-1960-3_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4866-8
Online ISBN: 978-94-011-1960-3
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