Type-2 fuzzy sets offer the opportunity to capture higher orders of uncertainty. However, researchers have not explored fully the nature of this uncertainty and how it can be quantified. In this paper we place type-2 fuzzy sets in the context of logic and model them, for the first time, as a collection of meta statements. The paper provides a full discussion on this new perspective. We also propose new approaches to measuring the uncertainty represented by a type-2 fuzzy set
Fuzzy logic has been widely used to model human reasoning thanks to its inherent capability of handl...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
As part of this paper we are highlighting several - in our opinion- important aspects of type-2 fuzz...
Abstract—Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addit...
This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set prelimin...
We are living in a world full of uncertainty and ambiguity. We usually ask ourselves questions that ...
Abstract—Capturing the uncertainty arising from system noise has been a core feature of fuzzy logic ...
The work presented in this dissertation is a contribution to the field of fuzzy sets and fuzzy logi...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
Abstract—Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a la...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
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...
Fuzzy logic has been widely used to model human reasoning thanks to its inherent capability of handl...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...
As part of this paper we are highlighting several - in our opinion- important aspects of type-2 fuzz...
Abstract—Type-2 fuzzy sets extend the expressive capabilities of type-1 fuzzy sets in that, in addit...
This document introduces the concept of Type-2 fuzzy sets and compares the Type-2 fuzzy set prelimin...
We are living in a world full of uncertainty and ambiguity. We usually ask ourselves questions that ...
Abstract—Capturing the uncertainty arising from system noise has been a core feature of fuzzy logic ...
The work presented in this dissertation is a contribution to the field of fuzzy sets and fuzzy logi...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
Abstract—Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a la...
A modified version of the first-order logic of probability presented in (Halpern 1990) - with probab...
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...
Fuzzy logic has been widely used to model human reasoning thanks to its inherent capability of handl...
This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic a...
The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that...