### On approximate fuzzy maps.

Salih, Haval Mahmood Mohammed, Borumand Saeid, A. (2010)

Acta Universitatis Apulensis. Mathematics - Informatics

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Salih, Haval Mahmood Mohammed, Borumand Saeid, A. (2010)

Acta Universitatis Apulensis. Mathematics - Informatics

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Jafari, S., Viswanathan, K., Rajamani, M., Krishnaprakash, S. (2008)

The Journal of Nonlinear Sciences and its Applications

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Saraf, R.K., Navalagi, Govindappa, Khanna, Meena (2005)

Bulletin of the Malaysian Mathematical Sciences Society. Second Series

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Stouti, Abdelkader (2005)

Acta Mathematica Academiae Paedagogicae Nyí regyháziensis. New Series [electronic only]

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Chakraborty, R.P., Bhattacharyya, Anjana, Mukherjee, M.N. (2005)

Bulletin of the Malaysian Mathematical Sciences Society. Second Series

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Ramakrishnan, P.V., Regina Mary, A. (2005)

Bulletin of the Malaysian Mathematical Sciences Society. Second Series

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Biljana Krsteska (2005)

Kragujevac Journal of Mathematics

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Alimohammady, M., Ekici, E., Jafari, S., Roohi, M. (2010)

The Journal of Nonlinear Sciences and its Applications

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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...

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,...

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 $p$-value. The applicability of the proposed approach is explained using a numerical example.