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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23076
Abstract: An interval type‐2 fuzzy set (IT2FS) contains the infinite number of embedded membership functions (MFs) defined as type‐1 fuzzy sets. The center of gravity (COG) of an IT2FS is obtained by integrating the centroids of…
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Keywords:
interval type;
cog it2fs;
type fuzzy;
method ... See more keywords
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1
Published in 2018 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.3923
Abstract: Summary This study proposes an improved adaptive fault estimation and accommodation algorithm for a hypersonic flight vehicle that uses an interval type-2 Takagi-Sugeno fuzzy model and a quantum switching module. First, an interval type-2 Takagi-Sugeno…
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Keywords:
fault;
adaptive fault;
vehicle;
improved adaptive ... See more keywords
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Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1990-0
Abstract: In this paper, we propose a fuzzy multi-criteria group decision-making method based on ranking interval type-2 fuzzy variables. First, we present a ranking method developed by relative preference index which we define using generalized credibility…
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Keywords:
fuzzy variables;
type fuzzy;
fuzzy;
interval type ... See more keywords
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Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2469-3
Abstract: We describe in this paper a proposed enhancement of the bat algorithm (BA) using interval type-2 fuzzy logic for dynamically adapting the BA parameters. The BA is a metaheuristic algorithm inspired by the behavior of…
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Keywords:
bat algorithm;
type fuzzy;
interval type;
fuzzy ... See more keywords
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0
Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04998-2
Abstract: As an emerging technology, interval type-2 fuzzy logic systems (IT2 FLSs) have drawn great attentions in the past decade years. However, the computational intensive and time consuming type-reduction (TR) block may hinder the real applications…
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Keywords:
type fuzzy;
algorithms;
noniterative algorithms;
discrete noniterative ... See more keywords
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1
Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-022-06778-6
Abstract: This study aims to propose a novel model for the determination of depreciation in an environment of uncertainty. In the study, amortization methods were modified through interval type-2 fuzzy, and a new approach was proposed…
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Keywords:
interval type;
environment;
depreciation;
type fuzzy ... See more keywords
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0
Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3275-2
Abstract: Uncertainty is one of the most important aspects of any decision-making process. One of the tools lately used in uncertain decision making is interval type-2 fuzzy sets (IT2FSs). These sets unlike the traditional fuzzy sets…
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Keywords:
decision;
type fuzzy;
fuzzy sets;
approach ... See more keywords
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Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01608-z
Abstract: Selecting the most suitable design scheme in sponge city construction can be seen as a multiple attribute decision-making (MADM) problem. To express the uncertain and fuzzy decision-making information, interval type-2 fuzzy sets (IT2FSs) are useful…
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Keywords:
decision making;
type fuzzy;
interval type;
trapezoidal interval ... See more keywords
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0
Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02354-x
Abstract: This paper aims to develop a novel decision-making method with interval type-2 trapezoidal fuzzy preference (IT2TrFPR), which can deal with the complex decision information presented in the form of interval type-2 trapezoidal fuzzy numbers. In…
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Keywords:
decision;
trapezoidal fuzzy;
decision making;
type trapezoidal ... See more keywords
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1
Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-0835-4
Abstract: This paper presents an interactive fuzzy goal programming (FGP) approach for solving Multiobjective Nonlinear Programming Problems (MONLPP) with interval type 2 fuzzy numbers (IT2 FNs). The cost and time of the objective functions, and the…
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Keywords:
type fuzzy;
goal programming;
taylor series;
fuzzy numbers ... See more keywords
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Published in 2019 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-019-00455-0
Abstract: Industrial robotic arms require a reliable ability to operate in the presence of unexpected perturbations. In this paper, control of a robotic arm is contemplated in the presence of parametric uncertainties which are coupled by…
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Keywords:
type fuzzy;
fuzzy logic;
parametric uncertainties;
sliding mode ... See more keywords