نتایج جستجو برای: fuzzy e

تعداد نتایج: 1103823  

2005
Lenka Nosková

In this paper I investigate the System of fuzzy relation equations with inf → composition. I compare this system with the system of fuzzy relation equations with sup − ∗-composition. The purpose of this contribution is to show that there are many things which are common for both systems with sup−∗ and inf →-composition operations. K e y w o r d s: System of fuzzy relation equations; sup − ∗-com...

2004
E. LOWEN

In a fuzzy topology on a set X, the limit of a prefilter (i.e. a filter in the lattice [0,i] X) is calculated from the fuzzy closure. In this way convergence is derived from a fuzzy topology. In our paper we start with any rule "lira" which to any prefilter on X assigns, a function lira E [0,i] X. We give necessary and sufficient conditions for the function lim in order that it can be derived f...

Journal: :Expert Syst. Appl. 2011
Amit Kumar Pushpinder Singh Parmpreet Kaur Amarpreet Kaur

Ranking of fuzzy numbers play an important role in decision making, optimization, forecasting etc. Fuzzy numbers must be ranked before an action is taken by a decision maker. Cheng (Cheng, C. H. (1998). A new approach for ranking fuzzy numbers by distance method. Fuzzy Sets and Systems, 95, 307–317) pointed out that the proof of the statement ‘‘Ranking of generalized fuzzy numbers does not depe...

2007
Yujiro MIYATA Takeshi FURUHASHI Yoshiki UCHIKAWA

This paper proposes a fuzzy abductive inference to realize a creative thinking support system. The fuzzy logic is applied to Peng and Reggia's abductive inference for handling degrees of manifestations. Application of the new method to a diagnostic problem is shown and the e ectiveness of the proposed method is demonstrated by comparing the inferred results with those by the conventional fuzzy ...

2007
Didier Dubois Henri Prade Salvatore Sessa

R. Babuska, Fuzzy Modeling for Control, Kluwer Academic Publ., Dordrecht, 1998, 288 p. B. Bouchon-Meunier, L. Foulloy, M. Ramdani, Logique Floue Exercices Corriges et Exemples d' Applications, Cepadues Editions. Toulouse, 199B, 200 p. G.Q. Chen, Fuzzy Logic in Data Modeling Semantics, Constraints and Database Design, Kluwer Academic Publ., Boston. 1998, 240 p. K.J. Cios. W. Pedrycz, R.S. Swinia...

1999
Jerzy Z. Sasiadek Q. Wang

This paper presents the m e w of sensor fusion based on the Adaptive Fuzzy Kalman Filtering. This method has been applied to fuse position signals from the Global Positioning System (GPS) and Inertial Navigation System (INS) for the autonomous mobile vehicles. The presented method has been validated in 3-0 environment and is of particular importance for guidance, navigation, and control of flyi...

Journal: :Fuzzy Sets and Systems 2001
Rekha Srivastava Manjari Srivastava

Compact fuzzy topological spaces were first introduced by Chang [3]. o-compact fuzzy topological spaces were introduced by Gantner et al. [4]. Abd El-Monsef et al. [1] introduced the notion of e-aimost compact fuzzy topological spaces. Mashhour et al. [8] introduced the notion of bifuzzy topological spaces and defined the notion of o-compactness in those spaces. In this paper, we obtain some ne...

2007
Alois Knoll Jianwei Zhang Thorsten Graf

Two Case Studies of Employing Fuzzy Te hniques in Robot Vision Alois Knoll, Jianwei Zhang, Thorsten Graf, and Andr e Wolfram Fa ulty of Te hnology, University of Bielefeld, Germany Summary. The apabilities of observing the world and manipulating obje ts based on visual information are basi requirements in roboti appli ations. Typi ally, for manipulating obje ts in real environments it is ne ess...

2010
Sergejs Solovjovs

Since the inception of the notion of fuzzy topology much attention was paid to the possible means of interaction between fuzzy and crisp topological settings, in order to see whether fuzzy topology was doing anything new. In particular, different functors relating the categories Top of topological spaces and L-Top of Ltopological spaces (L being a suitable complete lattice) appeared in the lite...

Journal: :Int. J. Approx. Reasoning 2007
Jesús González Ignacio Rojas Héctor Pomares Luis Javier Herrera Alberto Guillén José M. Palomares Fernando Rojas Ruiz

The identification of a model is one of the key issues in the field of fuzzy system modeling and function approximation theory. An important characteristic that distinguishes fuzzy systems from other techniques in this area is their transparency and interpretability. Especially in the construction of a fuzzy system from a set of given training examples, little attention has been paid to the ana...

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