As part of this paper we are highlighting several - in our opinion- important aspects of type-2 fuzzy logic systems which seem important to its future development and application. It is the aim of the paper to provide more questions and more suggestive points than actual answers. With type-2 fuzzy logic and its application to modelling and handling uncertainty still a very young area of research, most answers are bound yet to be discovered
Abstract—Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addit...
Type reduction is the major new computation in a type-2 fuzzy logic system (T2 FLS). We have obtaine...
Fuzzy Linear Systems (FLSs) are used in practical situations where some of the systems parameters or...
Type-2 fuzzy sets offer the opportunity to capture higher orders of uncertainty. However, researche...
This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set prelimin...
This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and cont...
We are living in a world full of uncertainty and ambiguity. We usually ask ourselves questions that ...
The work presented in this dissertation is a contribution to the field of fuzzy sets and fuzzy logi...
This book explores recent developments in the theoretical foundations and novel applications of gene...
Fuzzy logic systems (FLSs) are widely accepted for their ability to model and handle uncertainty. Ty...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
Real world applications are characterized by high levels of linguistic and numerical uncertainties. ...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
This paper studies uncertainty and its effect on system response displacement. The paper also descri...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
Abstract—Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addit...
Type reduction is the major new computation in a type-2 fuzzy logic system (T2 FLS). We have obtaine...
Fuzzy Linear Systems (FLSs) are used in practical situations where some of the systems parameters or...
Type-2 fuzzy sets offer the opportunity to capture higher orders of uncertainty. However, researche...
This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set prelimin...
This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and cont...
We are living in a world full of uncertainty and ambiguity. We usually ask ourselves questions that ...
The work presented in this dissertation is a contribution to the field of fuzzy sets and fuzzy logi...
This book explores recent developments in the theoretical foundations and novel applications of gene...
Fuzzy logic systems (FLSs) are widely accepted for their ability to model and handle uncertainty. Ty...
Most real world applications face high levels of uncertainties that can affect the operations of suc...
Real world applications are characterized by high levels of linguistic and numerical uncertainties. ...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
This paper studies uncertainty and its effect on system response displacement. The paper also descri...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
Abstract—Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addit...
Type reduction is the major new computation in a type-2 fuzzy logic system (T2 FLS). We have obtaine...
Fuzzy Linear Systems (FLSs) are used in practical situations where some of the systems parameters or...