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On the implication operator in fuzzy logic
Information Sciences, 1983The implication operator in fuzzy logic can be translated into a suitable fuzzy relation in several ways. The problem is which translation/relation to choose. This question has been discussed by several authors so far. In this article various properties of relations, both already known and newly introduced, are thoroughly investigated, e.g.
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Generated fuzzy implicators and fuzzy preference structures
Kybernetika, 2012Following the book by \textit{J. Fodor} and \textit{M. Roubens} [Fuzzy preference modelling and multicriteria decision support. Dordrecht: Kluwer Academic Publishers (1994; Zbl 0827.90002)], a fuzzy preference structure can be constructed by a so-called monotone generator triplet \((p,i,j)\) which has to fulfill some axiomatic properties. In this paper,
Vladislav Biba, Dana Hlinená
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Fuzzy hypotheses for GUHA implications
Fuzzy Sets and Systems, 1998Abstract This paper presents a fuzzy generalization of a sophisticated approach to exploratory data analysis, the general unary hypotheses automaton (GUHA). The GUHA paradigm, to automatically generate sentences of an observational calculus which are supported by given data, has been attracting attention for nearly 30 years.
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Sheffer Stroke Fuzzy Implications
2017A new family of fuzzy implications, motivated by classic Sheffer stroke operator, is introduced. Sheffer stroke, which is a negation of a conjunction and is called NAND as well, is one of the two operators that can be used by itself, without any other logical operators, to constitute a logical formal system.
Wanda Niemyska +2 more
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Mutually exchangeable fuzzy implications
Information Sciences, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cognitive maps and fuzzy implications
European Journal of Operational Research, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Implicational Tonoid Fuzzy Logics
2018This paper deals with one class of propositional fuzzy logics. Recently, fuzzy logic systems have been introduced as logics being complete with respect to linearly ordered algebras, in particular, algebras on the unit interval [0,1]. One of important trends in this logic is to introduce logic systems having more general structures.
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Two General Construction Ways Toward Unified Framework of Ordinal Sums of Fuzzy Implications
IEEE Transactions on Fuzzy Systems, 2021Hongjun Zhou
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A Different Perspective on Breast Cancer Risk Factors: Some Implications of the Nonattributable Risk
Ca-A Cancer Journal for Clinicians, 1982H Seidman
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Prostate Cancer Screening: Current Trends and Future Implications
Ca-A Cancer Journal for Clinicians, 1992P J Littrup, C Mettlin, F Lee
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