Paper Info
Title
Generalized fuzzy operations for digital hardware implementation
Abstract
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.
Year
DOI
Venue
2007
10.1007/978-3-540-76631-5_2
MICAI
Keywords
Field
DocType
fuzzy logic,fuzzy control,signal processing,disjunction,control system,expert system,conjunction,fuzzy system,pattern recognition
Fuzzy electronics,Neuro-fuzzy,Hardware compatibility list,Computer science,Fuzzy set operations,Fuzzy logic,Adaptive neuro fuzzy inference system,Register-transfer level,Fuzzy control system,Computer hardware
Conference
Volume
ISSN
ISBN
4827
0302-9743
3-540-76630-8
Citations 
PageRank 
References 
3
0.52
9
Authors
4
Name
Order
Citations
PageRank
Ildar Z. Batyrshin17815.17
Antonio Hernández Zavala2245.55
Oscar Camacho Nieto36514.93
Luis Villa Vargas482.05