General type-2 fuzzy logic systems made simple: a tutorial

JM Mendel - IEEE Transactions on Fuzzy Systems, 2013 - ieeexplore.ieee.org
The purpose of this tutorial paper is to make general type-2 fuzzy logic systems (GT2 FLSs)
more accessible to fuzzy logic researchers and practitioners, and to expedite their research …

Distance and similarity measures for hesitant fuzzy sets

Z Xu, M Xia - Information sciences, 2011 - Elsevier
In this paper, we propose a variety of distance measures for hesitant fuzzy sets, based on
which the corresponding similarity measures can be obtained. We investigate the …

Approximate reasoning with generalized orthopair fuzzy sets

RR Yager, N Alajlan - Information Fusion, 2017 - Elsevier
We introduce the idea of generalized orthopair fuzzy sets, which provide an extension of
intuitionistic fuzzy sets. The basic properties of these generalized orthopair fuzzy sets are …

Advances in type-2 fuzzy sets and systems

JM Mendel - Information sciences, 2007 - Elsevier
In this state-of-the-art paper, important advances that have been made during the past five
years for both general and interval type-2 fuzzy sets and systems are described. Interest in …

On the fundamental differences between interval type-2 and type-1 fuzzy logic controllers

D Wu - IEEE Transactions on Fuzzy Systems, 2012 - ieeexplore.ieee.org
Interval type-2 fuzzy logic controllers (IT2 FLCs) have recently been attracting a lot of
research attention. Many reported results have shown that IT2 FLCs are better able to …

Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application

C Cornelis, G Deschrijver, EE Kerre - International journal of approximate …, 2004 - Elsevier
With the demand for knowledge-handling systems capable of dealing with and
distinguishing between various facets of imprecision ever increasing, a clear and formal …

A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets

D Wu, JM Mendel - Information Sciences, 2009 - Elsevier
Ranking methods, similarity measures and uncertainty measures are very important
concepts for interval type-2 fuzzy sets (IT2 FSs). So far, there is only one ranking method for …

[图书][B] Hesitant fuzzy sets theory

Z Xu - 2014 - Springer
When people make a decision, they are usually hesitant and irresolute for one thing or
another which makes it difficult to reach a final agreement. For example, two decision …

[PDF][PDF] Interval type-2 fuzzy sets and systems: Overview and outlook

WU Dongrui, Z Zhi-Gang, MO Hong, W Fei-Yue - ACTA Autom. Sin, 2020 - aas.net.cn
Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Toward a wider view on their relationship

HB Sola, J Fernandez, H Hagras… - … on Fuzzy Systems, 2014 - ieeexplore.ieee.org
In this paper, we will present a wider view on the relationship between interval-valued fuzzy
sets and interval type-2 fuzzy sets, where we will show that interval-valued fuzzy sets are a …