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Discrete fuzzy systems: The aggregation operator
Antonio Hernández Zavala;Jorge Adalberto Huerta Ruelas;Arodí Rafael Carballo Domínguez;Oscar Camacho Nieto
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Year: 2013 | Conference Paper |
Knowledge-based systems have the ability to realize inferences out of pre-defined rules. As the antecedents are driven into the fuzzy system, the system infers to obtain the consequents. These consequents are used to obtain crisp output data. The aggregation operator combines these consequents to obtain a unified shape from which a unique result can be obtained. The way to handle the aggregation v...Show More
Fast Route Convergence in Dynamic Power Controlled Routing for Wireless Ad-hoc Networks
Itzama Lopez Yanez;Oscar Camacho Nieto;Cornelio Yanez Marquez;Abril Valeria Uriarte Arcia
Previous work in wireless ad-hoc network routing has given rise to dynamic power controlled routing, which in turn enables variable-range transmissions. However, one limitation found in such protocols is the inclusion of at most one redirector in the route at each iteration. The work presented here introduces a redirector discovery algorithm which reaches the final route in less iterations, by inc...Show More
Fuzzy Hardware: A Retrospective and Analysis
Worldwide, fuzzy systems are becoming a very useful mathematical tool to deal with nonlinear problems by inferring from a rule base that contains the necessary knowledge extracted from an expert. There are diverse forms to implement a fuzzy system depending on the desired response time, for which hardware implementations are best suited for high-speed demands. Fuzzy hardware has been exploited sin...Show More
Soft-core implementation for centre of Slice Area Average defuzzifier
Antonio Hernández Zavala;Oscar Camacho Nieto;Cornelio Yáñez Márquez
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)
Year: 2011 | Conference Paper |
Cited by: Papers (1)
Fuzzy systems are broad used for the decision making task given its capability of extract knowledge from an expert and translate it into rules that define described system. Implementations are made according to speed requirements of the problem, for the case of critical real time systems hardware is the best choice. One important issue on fuzzy systems is the final step, defuzzifier, when computed...Show More
Digital fuzzy parametric conjunctions for hardware implementation of fuzzy systems
Imre J. Rudas;Ildar Z. Batyrshin;A. Hernández Zavala;O. Camacho Nieto;L. Villa Vargas
2009 IEEE International Conference on Computational Cybernetics (ICCC)
Year: 2009 | Conference Paper |
Cited by: Papers (5)
The problem of construction of parametric classes of fuzzy conjunction and disjunction operations suitable for efficient digital hardware implementation is studied. The set of digital generators that can be used in generation of digital fuzzy parametric conjunctions is proposed. These generators together with basic t-norms and t-conorms can be used to generate new digital fuzzy conjunctions with e...Show More
VLSI implementation of a module for realization of basic t-norms on fuzzy hardware
Antonio H. Zavala;Oscar C. Nieto;Ildar Batyrshin;Luis V. Vargas
2009 IEEE International Conference on Fuzzy Systems
Year: 2009 | Conference Paper |
Cited by: Papers (5)
Fuzzy theory applications have been explored and analyzed on fields as pattern recognition, control, data classification, signal processing, expert systems, among others. To accomplish this, more complex calculations and faster processing speed are required, turning fuzzy hardware implementation to be the perfect choice. Fuzzy operations as t-norms and t-conorms are used in fuzzy systems as conjun...Show More
Discrete Fuzzy Inference Engine Algorithm for Digital Implementations of Approximate Reasoning
Antonio Hernández Zavala;Oscar Camacho Nieto;Ildar Batyrshin;Luis Villa Vargas
2008 Third International Conference on Convergence and Hybrid Information Technology
Year: 2008 | Conference Paper |
Fuzzy logic has become a very good choice to represent uncertain models of complex systems that cannot be easily represented in terms of conventional mathematics. Specifically fuzzy hardware has turned to be the choice to reach high speed inference rates. There are two forms to represent membership values universe: first one is when floating point numbers are used, second form is when integer univ...Show More
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