A CAD Approach to Simplify Fuzzy System Descriptions

Baturone, I.; Moreno-Velo, F.J.; Gersnoviez, Andres

doi:10.1109/fuzzy.2006.1682033

Cited by 11 publications

(15 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The procedure required to provide a physical interpretation of the models is case dependent to a great extent. In the interpretation process, additional techniques for simplification of fuzzy inference systems can be of considerable help [4]. For instance, if the system is pruned in order to keep only the six best rules with respect to the training set, a system with a test MSE only 6.3% higher than that of the original system is obtained.…”

Section: Interpretability Issues and Examplesmentioning

confidence: 99%

Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation

Pouzols¹,

Lendasse²,

Barriga³

2010

Fuzzy Sets and Systems

View full text Add to dashboard Cite

We propose an automatic methodology framework for short-and long-term prediction of time series by means of fuzzy inference systems. In this methodology, fuzzy techniques and statistical techniques for nonparametric residual variance estimation are combined in order to build autoregressive predictive models implemented as fuzzy inference systems. Furthermore, fuzzy models are shown to be consistently more accurate for prediction in the case of time series coming from real-world applications

show abstract

Section: Interpretability Issues and Examplesmentioning

confidence: 99%

Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation

Pouzols¹,

Lendasse²,

Barriga³

2010

Fuzzy Sets and Systems

View full text Add to dashboard Cite

show abstract

“…A method to simplify them is to apply tabular simplification to each set of rules with the same consequent. This method, proposed in [16], is an extension of Quine-McCluskey algorithm employed in Boolean design because neither consequents nor antecedents are bivalued in fuzzy design. Fig.…”

Section: Simplification Of Grid-based Modelsmentioning

confidence: 99%

Automatic extraction of linguistic models for image description

Baturone

Gersnoviez

2010

International Conference on Fuzzy Systems

View full text Add to dashboard Cite

Abstract-This paper describes a methodology to extract fuzzy models that describe linguistically the low-level features of an image (such as color, texture, etc.). The methodology combines grid-based algorithms with clustering and tabular simplification methods to compress image information into a small number of fuzzy rules with high linguistic meaning. All the steps of the methodology are carried out with the help offered by the tools of Xfuzzy 3 environment, so we can define, simplify, tune and verify the fuzzy models automatically. Several examples are included to illustrate the advantages of the methodology.

show abstract

“…The consequents are clustered into groups and the rules with the same consequent are grouped and merged (if possible) by applying a Tabular Simplification algorithm [7]. Finally, the parameters of the model are adjusted with the tool xfsl.…”

Section: Design Flow For Hardware Implementationmentioning

confidence: 99%

Microelectronics implementation of directional image-based fuzzy templates for fingerprints

Arjona

Baturone

Sánchez-Solano

2010

2010 International Conference on Microelectronics

View full text Add to dashboard Cite

Abstract-Fingerprint orientation image, also called directional image, is a widely used method in fingerprint recognition. It helps in classification (accelerating fingerprint identification process) as well as in preprocessing or processing steps (such as fingerprint enhancement or minutiae extraction). Hence, efficient storage of directional image-based information is relevant to achieve low-cost templates not only for "match on card" but also for "authentication on card" solutions. This paper describes how to obtain a fuzzy model to describe the directional image of a fingerprint and how this model can be implemented in hardware efficiently. The CAD tools of the Xfuzzy 3 environment have been employed to accelerate the fuzzy modeling process as well as to implement the directional image-based template into both an FPGA from Xilinx and an ASIC.

show abstract

A CAD Approach to Simplify Fuzzy System Descriptions

Cited by 11 publications

References 7 publications

Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation

Autoregressive time series prediction by means of fuzzy inference systems using nonparametric residual variance estimation

Automatic extraction of linguistic models for image description

Microelectronics implementation of directional image-based fuzzy templates for fingerprints

Contact Info

Product

Resources

About