TY - GEN
T1 - Generalized fuzzy operations for digital hardware implementation
AU - Batyrshin, Iidar
AU - Zavala, Antonio Hernández
AU - Nieto, Oscar Camacho
AU - Vargas, Luis Villa
PY - 2007
Y1 - 2007
N2 - Hardware 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.
AB - Hardware 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.
KW - Conjunction
KW - Digital system
KW - Disjunction
KW - Fuzzy system
UR - http://www.scopus.com/inward/record.url?scp=38149080447&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-76631-5_2
DO - 10.1007/978-3-540-76631-5_2
M3 - Contribución a la conferencia
SN - 9783540766308
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 9
EP - 18
BT - MICAI 2007
PB - Springer Verlag
T2 - 6th Mexican International Conference on Artificial Intelligence, MICAI 2007
Y2 - 4 November 2007 through 10 November 2007
ER -