Results 11 to 20 of about 26,053,220 (237)
Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System. [PDF]
, 2006 A new approach to real-time joint classification and classifier design is proposed in this paper. It is based on the recently developed evolving fuzzy system (EFS) method and is applied to mobile robotics.
Angelov, Plamen +3 more
core +5 more sources
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 +5 more
core +5 more sources
On-line identification of MIMO evolving Takagi-Sugeno fuzzy models [PDF]
, 2004 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
core +4 more sources
A fuzzy model for sensitivity analysis in real options [PDF]
, 2008 This paper adopts a promising concept of uncertainty, incorporating both stochastic processes and fuzzy theory to capture the somewhat vague and imprecise ideas the manager has about the future expected cash flows, the profitability of the project, the costs of the project and many other variables involved in an investment decision.
Agliardi, Elettra +2 more
openaire +3 more sources
Fuzzy-rough set models and fuzzy-rough data reduction
Croatian Operational Research Review, 2020 Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their
Hassan Mishmast Nehi +1 more
doaj +1 more source
Fuzzy Real Option Analysis for IT Investment in Nuclear Power Station [PDF]
, 2007 This paper develops a comprehensive but simple methodology to valuate information technology investment in a nuclear power station based on fuzzy risk analysis and real option approach. By linking the variability of expected payoffs to specific sources of risk factors, this method could help decision makers achieve a more reliable valuation of the ...
Tao Chen +3 more
openaire +1 more source
Journal of Modern Power Systems and Clean Energy, 2017 This paper applies double-uncertainty optimization theory to the operation of AC/DC hybrid microgrids to deal with uncertainties caused by a high proportion of intermittent energy sources.
Peng LI +3 more
doaj +1 more source
An outlier–robust neuro–fuzzy system for classification and regression
International Journal of Applied Mathematics and Computer Science, 2021 Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
doaj +1 more source
Study of Fuzzy σ-Ring and Some Related Concepts
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2022 This paper introduces the concept of fuzzy σ-ring as a generalization of fuzzy σ-algebra and basic properties; examples of this concept have been given.
Ibrahim S Ahmed +2 more
doaj +1 more source
Basic fuzzy arithmetic operations using α–cut for the gaussian membership function [PDF]
Journal of Fuzzy Extension and Applications, 2022 Currently fuzzy set theory has a wide range to model real life problems with incomplete or vague information which perfectly suits the reality and its application is theatrically increasing. This work explored the basic fuzzy operations with the Gaussian
Leonce Leandry +2 more
doaj +1 more source