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Type-2 fuzzy multigranulation rough sets

International Journal of Approximate Reasoning, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Non-stationary type-2 fuzzy sets

Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012
In this paper, we introduce non-stationary type-2 fuzzy set (NST2FS), which is the important extension of its type-1 counterpart. NST2FS has distinct characteristics with uncertain membership function and alteration over time. According to different mathematical formalizations of its instantaneous T2FS (IT2FS), NST2FS can be divided into two categories,
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Uncertainty measures for general type-2 fuzzy sets

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhai, Daoyuan, Mendel, Jerry M.
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Three-way decisions based on type-2 fuzzy sets and interval-valued type-2 fuzzy sets

Journal of Intelligent & Fuzzy Systems, 2016
This paper investigates three-way decisions of type-2 fuzzy sets and interval-valued type-2 fuzzy sets based on partially ordered sets. First, the partially ordered sets, constituted by fuzzy truth values and interval-valued fuzzy truth values, are established, respectively. They serve as the basic structures of three-way decision spaces.
Xiao, Yuan Chun   +2 more
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Working with Type-2 Fuzzy Sets

2017
This chapter explains how to work with type-2 fuzzy sets (T2 FSs). Most of its topics are needed in the rest of this book. Coverage includes: set-theoretic operations (union, intersection, and complement) for general type-2 fuzzy sets (GT2 FSs) computed using the Extension Principle, set-theoretic operations for interval type-2 fuzzy sets (IT2 FSs ...
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Interval Type-2 Fuzzy Rough Sets and Interval Type-2 Fuzzy Closure Spaces

2015
The purpose of the present work is to establish a one-to-one cor- respondence between the family of interval type-2 fuzzy reexive/toleranc e approximation spaces and the family of interval type-2 fuzzy closure spaces.
Sharan, Shambhu   +2 more
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Type-2 Fuzzy Sets and Beyond

2013
This chapter explains why I started working on type-2 fuzzy sets and systems and the contributions made by my students, colleagues and myself to this field. It also predicts a very rosy outlook for this field.
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A comprehensive review on type 2 fuzzy logic applications: Past, present and future

Engineering Applications of Artificial Intelligence, 2020
Kunwar Singh Vaisla   +2 more
exaly  

An Interval Type-3 Fuzzy System and a New Online Fractional-Order Learning Algorithm: Theory and Practice

IEEE Transactions on Fuzzy Systems, 2020
Ardashir Mohammadzadeh   +2 more
exaly  

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