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2,308
Revealed Preference in a Fuzzy Framework
"... To a fuzzy choice function C we assign the indicators of revealed preference W AF RP (C), SAF RP (C) and the indicators of congruence W F CA(C), SF CA(C). These indicators measure the degree to which the fuzzy choice function C verifies the axioms of revealed preference W AF RP, SAF RP and of congru ..."
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To a fuzzy choice function C we assign the indicators of revealed preference W AF RP (C), SAF RP (C) and the indicators of congruence W F CA(C), SF CA(C). These indicators measure the degree to which the fuzzy choice function C verifies the axioms of revealed preference W AF RP, SAF RP
A Fuzzy Framework for Unsupervised Video Content Characterization and Shot Classification
, 2001
"... In this paper we present a fuzzy framework for domain-dependent analysis of video sequences. ..."
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Cited by 5 (1 self)
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In this paper we present a fuzzy framework for domain-dependent analysis of video sequences.
Interactive Image Retrieval in a Fuzzy Framework
"... Abstract. In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, which is created from the discrepancies between the computed low-level features (color, texture, shape, etc.) a ..."
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Cited by 2 (2 self)
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weights based on a fuzzy feature evaluation measure. This has an advantage of handling comparatively small number of samples over those using standard classifiers involving large number of training samples and having more complexity. Extensive experiments have been performed to test to what extent
A Proposed Fuzzy Framework for Cholera Diagnosis and Monitoring
"... In this paper, a fuzzy expert system for the diagnosis and monitoring of cholera is presented for providing decision support platform to cholera researchers, physicians and other healthcare practitioners in cholera endemic regions. The developed fuzzy expert system composed of four components which ..."
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In this paper, a fuzzy expert system for the diagnosis and monitoring of cholera is presented for providing decision support platform to cholera researchers, physicians and other healthcare practitioners in cholera endemic regions. The developed fuzzy expert system composed of four components which
Bayesian Description Logics. In:
- Proc. of DL’14. CEUR Workshop Proceedings,
, 2014
"... Abstract This chapter considers, on the one hand, extensions of Description Logics by features not available in the basic framework, but considered important for using Description Logics as a modeling language. In particular, it addresses the extensions concerning: concrete domain constraints; moda ..."
Abstract
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Cited by 394 (49 self)
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Abstract This chapter considers, on the one hand, extensions of Description Logics by features not available in the basic framework, but considered important for using Description Logics as a modeling language. In particular, it addresses the extensions concerning: concrete domain constraints
A Neuro-Fuzzy Framework for Predicting Ash Properties in Combustion Processes
"... This paper describes a neuro-fuzzy modeling framework for predicting the properties of ashes originated from combustion processes for electric generation. The prediction problem is tackled by means of a neuro-fuzzy system in which a neural network and a fuzzy system are combined in a fused architect ..."
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This paper describes a neuro-fuzzy modeling framework for predicting the properties of ashes originated from combustion processes for electric generation. The prediction problem is tackled by means of a neuro-fuzzy system in which a neural network and a fuzzy system are combined in a fused
CF-GeNe: Fuzzy Framework for Robust Gene Regulatory Network Inference
"... Abstract — Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper presents an innovative Collateral-Fuzzy Gene Regulatory Network Reconstruction (CF-GeNe) framework for Gene Regulato ..."
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Cited by 1 (0 self)
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Abstract — Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper presents an innovative Collateral-Fuzzy Gene Regulatory Network Reconstruction (CF-GeNe) framework for Gene
A FUZZY FRAMEWORK FOR SEGMENTATION, FEATURE MATCHING AND RETRIEVAL OF BRAIN MR IMAGES
"... ABSTRACT ..."
Neuro-fuzzy modeling and control
- IEEE PROCEEDINGS
, 1995
"... Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under the framework of ad ..."
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Cited by 239 (1 self)
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Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under the framework
Results 1 - 10
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2,308
