نتایج جستجو برای: fuzzy data interpolation

تعداد نتایج: 2504882  

2001
Domonkos Tikk László T. Kóczy Tamás D. Gedeon

This paper connects two thoroughly investigated universal approximator techniques to each other. Recently, it has been shown that the input-output function of the general fuzzy KH interpolation method [1, 2] as well as its modification [3] are stable in the mathematical sense, or in other words, they can be considered as universal approximators with respect to the Lp (p ∈ [1,∞]) norm in the spa...

2006
Martin Štěpnička

Fuzzy inference systems are studied from the point of view of systems of fuzzy relation equations. A fundamental interpolation condition is considered to be a crucial point of study in choosing proper inference method as well as a proper interpretation of a fuzzy rule base. The paper aims at additive interpretations and investigates their utilization from a theoretical point of view while their...

2008
Dávid Vincze Szilveszter Kovács

Several Fuzzy Rule Interpolation (FRI) techniques have limitations from the direct application point of view, for example their applicability is limited to the one dimensional case, or they can be defined only based on the two closest surrounding rules of the actual observation. This is the reason why relatively few FRI methods can be found among the practical fuzzy rule based applications. Wit...

2012
Christian Moewes Rudolf Kruse

Fuzzy control accounts for the biggest industrial success of fuzzy logic. We review an interpretation of Mamdani’s heuristic control approach. It can be seen as knowledge-based interpolation based on input-output points of a vaguely known function. We reexamine two real-world control problems that have been fortunately solved based on this interpretation.

Journal: :محیط شناسی 0
مهدی کرد استادیار گروه زمین شناسی، دانشکدۀ علوم پایه، دانشگاه کردستان اصغر اصغری مقدم استاد گروه زمین شناسی، دانشکدۀ علوم طبیعی، دانشگاه تبریز محمد نخعی دانشیار گروه زمین شناسی، دانشکدۀ علوم زمین، دانشگاه خوارزمی

introduction the ardabil plain aquifer, with area about 900 km2, has high concentration amounts of nitrate in some parts. nowadays, nitrate pollution in groundwater due to the widespread application of fertilizers and increasing of drinking water demand, has encountered consumers with problem. the adverse health effects of high nitrate levels in drinking water have been well documented. in the ...

2005
Barnabás Bede Hajime Nobuhara Imre J. Rudas Kaoru Hirota

Two extensions of classical Shepard operators to the fuzzy case are presented. We study Shepard-type interpolation/approximation operators for functions with domain and range in the fuzzy number’s space and max-product approximation operators. Error estimates are obtained in terms of the modulus of continuity.

Journal: :Signal Processing 2011
Duarte Valério José Sá da Costa

This paper addresses complex, variable-order fractional derivatives, enlarging the definitions for the real case. Implementations combining discretised Crone approximations using fuzzy logic and interpolation are also addressed.

2006
Zsolt Csaba Johanyák Szilveszter Kovács

Fuzzy rule interpolation based reasoning methods are the most common choices for cases when the applied rule base is not dense. This paper presents a new technique called LESFRI, which is based on the method of least squares. Its central idea is the conservation of the shape type specific to a fuzzy partition. The method has low computational complexity.

Journal: :Computers & Mathematics with Applications 2006
Min Liu Degang Chen Cheng Wu Hongxing Li

Keywords--Fuzzy reasoning, Fuzzy transform, Fuzzy optimization, Multiple rules, Interpolation, Scheduling. *Author to whom all correspondence should be addressed. This work is supported by the National Key Basic Research and Development Program (No. 2002CB312200), the National Natural Science Foundation of China (No. 60004010, No. 60274045, No. 60443009). 0898-1221/06/$ see front matter (~) 200...

2005
Armin Zeinali

Many researchers have been interested in approximation properties of fuzzy logic systems (FLS), which like neural networks can be seen as approximation schemes. Almost all of them tackled Mamdani fuzzy model, which was shown to have many interesting features. This paper aims to present alternatives for traditional inference mechanisms and CRI method. The most attractive advantage of these new m...

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