Pinned-flags of some operations on fuzzy subgroups.
Makamba, B.B., Murali, V. (2005)
International Journal of Mathematics and Mathematical Sciences
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Makamba, B.B., Murali, V. (2005)
International Journal of Mathematics and Mathematical Sciences
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Branimir Šešelja, Andreja Tepavčević (1997)
The Yugoslav Journal of Operations Research
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Abbas, S. E. (2003)
International Journal of Mathematics and Mathematical Sciences
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Branimir Šešelja, Andreja Tepavčević (2005)
Kybernetika
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Necessary and sufficient conditions under which two fuzzy sets (in the most general, poset valued setting) with the same domain have equal families of cut sets are given. The corresponding equivalence relation on the related fuzzy power set is investigated. Relationship of poset valued fuzzy sets and fuzzy sets for which the co-domain is Dedekind-MacNeille completion of that posets is deduced.
Samhan, Marouf A., Ahsanullah, T.M.G. (1994)
International Journal of Mathematics and Mathematical Sciences
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Ramadan, A.A., Abbas, S.E., Abd El-Latif, A.A. (2005)
International Journal of Mathematics and Mathematical Sciences
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Çoker, Doğan, Eş, A.Haydar, Turanli, Necla (2004)
International Journal of Mathematics and Mathematical Sciences
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Aygün, Halis, Bural, A.Arzu, Kudri, S.R.T. (2008)
International Journal of Mathematics and Mathematical Sciences
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Congxin Wu (2008)
Banach Center Publications
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Miguel Delgado, José Luis Verdegay, M. Amparo Vila (1994)
Mathware and Soft Computing
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Two different definitions of a Fuzzy number may be found in the literature. Both fulfill Goguen's Fuzzification Principle but are different in nature because of their different starting points. The first one was introduced by Zadeh and has well suited arithmetic and algebraic properties. The second one, introduced by Gantner, Steinlage and Warren, is a good and formal representation of the concept from a topological point of view. The objective of this paper is...
Pedro J. Burillo López, Noé Frago Paños, Ramón Fuentes González (2001)
Mathware and Soft Computing
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Fuzzy Mathematical Morphology aims to extend the binary morphological operators to grey-level images. In order to define the basic morphological operations fuzzy erosion, dilation, opening and closing, we introduce a general method based upon fuzzy implication and inclusion grade operators, including as particular case, other ones existing in related literature. In the definition of fuzzy erosion and dilation we use several fuzzy implications (Annexe A, Table of fuzzy implications),...