Results 21 to 30 of about 448,451 (289)
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
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KL Divergence-Based Fuzzy Cluster Ensemble for Image Segmentation
Ensemble clustering combines different basic partitions of a dataset into a more stable and robust one. Thus, cluster ensemble plays a significant role in applications like image segmentation.
Huiqin Wei, Long Chen, Li Guo
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Kullback-Leibler Divergence and Mutual Information of Experiments in the Fuzzy Case
The main aim of this contribution is to define the notions of Kullback-Leibler divergence and conditional mutual information in fuzzy probability spaces and to derive the basic properties of the suggested measures.
Dagmar Markechová
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Logical Entropy of Fuzzy Dynamical Systems
Recently the logical entropy was suggested by D. Ellerman (2013) as a new information measure. The present paper deals with studying logical entropy and logical mutual information and their properties in a fuzzy probability space.
Dagmar Markechová, Beloslav Riečan
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A mass assignment based ID3 algorithm for decision tree induction [PDF]
A mass assignment based ID3 algorithm for learning probabilistic fuzzy decision trees is introduced. Fuzzy partitions are used to discretize continuous feature universes and to reduce complexity when universes are discrete but with large cardinalities ...
Baldwin, JF, Martin, TP, Lawry, J
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Fine-Tuning the Fuzziness of Strong Fuzzy Partitions through PSO
We study the influence of fuzziness of trapezoidal fuzzy sets in the strong fuzzy partitions (SFPs) that constitute the database of a fuzzy rule-based classifier.
Ciro Castiello, Corrado Mencar
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On-line identification of MIMO evolving Takagi-Sugeno fuzzy models [PDF]
Evolving Takagi-Sugeno (eTS) fuzzy models and the method for their on-line identification has been recently introduced as an effective tool for design of flexible system models with minimum a priori information.
Angelov, Plamen, Xydeas, C, Filev, D
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Tsallis Entropy of Fuzzy Dynamical Systems
This article deals with the mathematical modeling of Tsallis entropy in fuzzy dynamical systems. At first, the concepts of Tsallis entropy and Tsallis conditional entropy of order q , where q is a positive real number not equal to 1, of ...
Dagmar Markechová
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Takagi-Sugeno-Kang(zero-order) model for diagnosis hepatitis disease
The aim of this paper is to use Takagi-Sugeno-Kang(zero-order) model as fuzzy neural network for the medical diagnosis of hepatitis diseases which represent a major public health problem all around the world .
Raidah S. Salim
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TWO CONJECTURES CONCERNING EXTENTS OF SMARANDACHE FACTOR PARTITIONS [PDF]
In this paper we verify two conjectures concerning extents of Smarandache factor ...
Maohua, Le
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