Add to ORKGThis article presents a methodological proposal for implementing interval type-2 fuzzy processors over digital signal controller technology. We describe the main considerations that a practitioner or an engineer should follow when implementing an interval type-2 fuzzy system over an embedded processor. These considerations guide the implementation study of eight interval type-2 fuzzy processors, which are fully characterized and tested. Results show that by combining fast computing strategies and technologies like digital signal controllers, the inference time of an embedded type-2 fuzzy processor can be set to hundreds of microseconds
We propose the design of an analog Interval Type-2 (IT2) fuzzy logic controller chip that is based o...
This book reviews current state of the art methods for building intelligent systems using type-2 fuz...
In this paper, a new way of optimizing fuzzy logic is introduced. This way is used to optimize the o...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
Research reported here proves that Interval Type-2 Fuzzy Systems can be carried out using type-1 fuz...
Form the publication of Prof. Loftis’ fuzzy set theory and linguistic approach, fuzzy logic has beco...
Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great success to different appl...
Interval methods represent a relatively new research direction in digital sig-nal processing. Though...
Marine diesel engines operate in highly dynamic and uncertain environments, hence they require robus...
Recently the fuzzy control is widely used as a tool for constructing automatic control systems which...
© 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
The paper presents a concept of digital circuit dedicated for fuzzy processing with numerical inputs...
Fuzzy systems will be implemented mostly as software solutions. But in special cases a hardware impl...
This paper presents an architectural proposal for a hardware-based interval type-2 fuzzy inference s...
A new architecture is presented for the implementation of fuzzy systems using analog-digital techniq...
We propose the design of an analog Interval Type-2 (IT2) fuzzy logic controller chip that is based o...
This book reviews current state of the art methods for building intelligent systems using type-2 fuz...
In this paper, a new way of optimizing fuzzy logic is introduced. This way is used to optimize the o...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
Research reported here proves that Interval Type-2 Fuzzy Systems can be carried out using type-1 fuz...
Form the publication of Prof. Loftis’ fuzzy set theory and linguistic approach, fuzzy logic has beco...
Type-1 Fuzzy Logic Controllers (FLCs) have been applied to date with great success to different appl...
Interval methods represent a relatively new research direction in digital sig-nal processing. Though...
Marine diesel engines operate in highly dynamic and uncertain environments, hence they require robus...
Recently the fuzzy control is widely used as a tool for constructing automatic control systems which...
© 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish th...
The paper presents a concept of digital circuit dedicated for fuzzy processing with numerical inputs...
Fuzzy systems will be implemented mostly as software solutions. But in special cases a hardware impl...
This paper presents an architectural proposal for a hardware-based interval type-2 fuzzy inference s...
A new architecture is presented for the implementation of fuzzy systems using analog-digital techniq...
We propose the design of an analog Interval Type-2 (IT2) fuzzy logic controller chip that is based o...
This book reviews current state of the art methods for building intelligent systems using type-2 fuz...
In this paper, a new way of optimizing fuzzy logic is introduced. This way is used to optimize the o...