Autores
Villa Vargas Luis Alfonso
Batyrshin Ildar
Hernández Zavala Antonio
Camacho Nieto Oscar
Título Generalized fuzzy operations for digital hardware implementation
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Artificial Intelligence; 6th Mexican International Conference on Artificial Intelligence.
Resumen ardware implementation of fuzzy systems plays important role in many industrial applications of fuzzy logic. The most popular applications of fuzzy hardware systems were found in the domain of control systems but the area of application of these systems is extending on other areas such as signal processing, pattern recognition, expert systems etc. The digital fuzzy hardware systems usually use only basic operations of fuzzy logic like min, max and some others, first, due to their popularity in traditional fuzzy control systems and, second, due to the difficulties of hardware implementation of more complicated operations, e.g. parametric classes of t-norms and t-conorms. But for extending the area of applications and flexibility of fuzzy hardware systems it is necessary to develop the methods of digital hardware implementation of wide range of fuzzy operations. The paper studies the problem of digital hardware implementation of fuzzy parametric conjunction and disjunction operations. A new class of such operations is proposed which is simple for digital hardware implementation and is flexible, due to its parametric form, for possible tuning in fuzzy models. The methods of hardware implementation of these operations in digital systems are proposed.
Observaciones 6th Mexican International Conference on Artificial Intelligence, MICAI 2007.
Lugar Aguascalientes
País Mexico
No. de páginas 9-18
Vol. / Cap. 4827
Inicio 2007-11-04
Fin 2007-11-10
ISBN/ISSN 978-354076630-8