Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +2 more
core +5 more sources
Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
, 2003 This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
core +2 more sources
Fuzzy and tile coding approximation techniques for coevolution in reinforcement learning [PDF]
, 2005 PhDThis thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Tokarchuk, Laurissa Nadia
core +4 more sources
A random set and prototype theory interpretation of intuitionistic fuzzy sets [PDF]
, 2010 An interpretation of intuitionistic fuzzy sets is proposed based on random set theory and prototype theory. The extension of fuzzy labels are modelled by lower and upper random set neighbourhoods, identifying those element of the universe within an ...
Lawry, Jonathan, Jonathan Lawry
core +1 more source
Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
, 2008 A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core +4 more sources
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 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
core +1 more source
Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]
, 2011 When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez +11 more
core +1 more source
Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
core +1 more source
On the similarity relation within fuzzy ontology components [PDF]
, 2005 Ontology reuse is an important research issue. Ontology merging, integration, mapping, alignment and versioning are some of its subprocesses. A considerable research work has been conducted on them.
Bejaoui, Lotfi +2 more
core
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source