On approximate fuzzy maps.
Salih, Haval Mahmood Mohammed, Borumand Saeid, A. (2010)
Acta Universitatis Apulensis. Mathematics - Informatics
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Displaying similar documents to “Fuzzy data in statistics”
On approximate fuzzy maps.
On decomposition of fuzzy -continuity.
Jafari, S., Viswanathan, K., Rajamani, M., Krishnaprakash, S. (2008)
The Journal of Nonlinear Sciences and its Applications
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On fuzzy semi-pre-generalized closed sets.
Saraf, R.K., Navalagi, Govindappa, Khanna, Meena (2005)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Fixed points theorems for -fuzzy monotone maps.
Stouti, Abdelkader (2005)
Acta Mathematica Academiae Paedagogicae Nyí regyháziensis. New Series [electronic only]
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Semicompactness in fuzzy topological spaces.
Chakraborty, R.P., Bhattacharyya, Anjana, Mukherjee, M.N. (2005)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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On fuzzy quotient mappings.
Ramakrishnan, P.V., Regina Mary, A. (2005)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Fuzzy pairwise almost strong precontinuity
Biljana Krsteska (2005)
Kragujevac Journal of Mathematics
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Fuzzy minimal separation axioms.
Alimohammady, M., Ekici, E., Jafari, S., Roohi, M. (2010)
The Journal of Nonlinear Sciences and its Applications
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Fuzzy numbers, definitions and properties.
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...
A Method to Construct an Extension of Fuzzy Information Granularity Based on Fuzzy Distance
Thien, Nguyen Van, Demetrovics, Janos, Thi, Vu Duc, Giang, Nguyen Long, Son, Nguyen Nhu (2016)
Serdica Journal of Computing
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In fuzzy granular computing, a fuzzy granular structure is the collection of fuzzy information granules and fuzzy information granularity is used to measure the granulation degree of a fuzzy granular structure. In general, the fuzzy information granularity characterizes discernibility ability among fuzzy information granules in a fuzzy granular structure. In recent years, researchers have proposed some concepts of fuzzy information granularity based on partial order relations. However,...
Goodman-Kruskal Measure of Association for Fuzzy-Categorized Variables
S. M. Taheri, Gholamreza Hesamian (2011)
Kybernetika
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The Goodman-Kruskal measure, which is a well-known measure of dependence for contingency tables, is generalized to the case when the variables of interest are categorized by linguistic terms rather than crisp sets. In addition, to test the hypothesis of independence in such contingency tables, a novel method of decision making is developed based on a concept of fuzzy -value. The applicability of the proposed approach is explained using a numerical example.