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Review of Recent Type-2 Fuzzy Image Processing Applications
2017
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Over the last years, there has been a significant increase in research on higher-order forms of fuzzy logic; in particular, the use of interval type-2 fuzzy sets and general type-2 fuzzy sets. ...
Various applications are presented where general type-2 fuzzy sets, interval type-2 fuzzy sets, and interval-value fuzzy sets are used; some are compared with the traditional type-1 fuzzy sets and others ...
edge detection and image segmentation and Gabriela Martinez analyzed the paper on image filtering and the writing of the paper. ...
doi:10.3390/info8030097
fatcat:fyscjq727ndqlnsn5jlh3mfddu
Complex Background and Foreground Extraction in Color Document Images using Interval Type2 Fuzzy
2011
International Journal of Computer Applications
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In this paper a new interval type-2 fuzzy based thresholding method is proposed for processing color document images. ...
Experimental results show that the performance of the proposed approach is better than the existing ones. ...
.
˧{˯ ˭I˲{ (# { {È$ {˧{˯{{ (1) Where ˧{˯{ { { & $ % & { { & $ % & $ (2)
Binarization with Interval Type-2 fuzzy The general algorithm for image thresholding based on interval type-2 sets and measures ...
doi:10.5120/3006-4054
fatcat:ctnfjorzdfb6nbocdl3bljwd54
Equalization of nonlinear time-varying channels using type-2 fuzzy adaptive filters
2000
IEEE transactions on fuzzy systems
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This paper presents a new kind of adaptive filter: type-2 fuzzy adaptive filter (FAF); one that is realized using an unnormalized type-2 Takagi-Sugeno-Kang (TSK) fuzzy logic system (FLS). ...
Index Terms-Channel equalization, decision feedback equalizer, decision tree, interval type-2 TSK fuzzy logic systems, timevarying channels, type-2 fuzzy adaptive filters. ...
Meet and Addition for Interval Sets The membership grade of in a type-2 fuzzy set is ; it is a type-1 fuzzy set in . In an interval type-2 fuzzy set (see Fig. 1 ), is a type-1 interval set. ...
doi:10.1109/91.873578
fatcat:wfxorpgbyjac7iqhhvl2rmii2i
An Analytical Insight to Investigate the Research Patterns in the Realm of Type-2 Fuzzy Logic
2018
Journal of Automation, Mobile Robotics & Intelligent Systems
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Fuzzy logic has always been one of the key research areas in the field of computer science as it helps in dealing with the real world vagueness and uncertainty. ...
Interval type-2 fuzzy set reconstruction based on fuzzy information-theoretic kernels. ...
A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets. Knowledge-Based Systems, 85, 329-341. 135) Xie, W. X., Zhang, Q. Y., Sun, Z. ...
doi:10.14313/jamris_2-2018/8
fatcat:67vugsfh2jcrdmgcihjqjkzlke
Type-2 Fuzzy Sets Based Ego-Motion Compensation of a Humanoid Robot for Object Recognition
[chapter]
2011
Advances in Theory and Applications of Stereo Vision
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In the segmentation part, objects are extracts by the image analysis using our proposed fuzzy information theoretical approach based on type-2 fuzzy sets. ...
A type-2 fuzzy threshold method based on fuzzy information theory measures is used to get rid of such noise values. ...
Type-2 Fuzzy Sets Based Ego-Motion Compensation of a Humanoid Robot for Object Recognition, Advances in Theory and Applications of Stereo Vision, Dr Asim Bhatti (Ed.), ISBN: 978-953-307-516-7, InTech, ...
doi:10.5772/12934
fatcat:vpzetvzwcvdhteiuqywit4pnsy
Guest Editorial: Special Issue on Type-2 Fuzzy-Model-Based Control and Its Applications
2021
IEEE transactions on fuzzy systems
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His current research interests include fuzzy model based control systems, interval type-2 fuzzy logic, polynomial control systems, machining learning, reinforcement learning, and their applications in ...
Xiao has been the Guest Editor for the IEEE TRANSACTIONS ON FUZZY SYSTEMS, IET Control Theory and Applications, International Journal of System Sciences, and Mathematical Problems in Engineering. ...
The article entitled "A novel Hammerstein model for nonlinear networked systems based on an interval Type-2 Fuzzy Takagi-Sugeno-Kang system," by Khalifa et al., proposes a novel Hammerstein structure for ...
doi:10.1109/tfuzz.2020.3046933
fatcat:2jnpswrskngmdjdhakgu6emfqm
Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature
2017
Complexity
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Based on the results of this review, we found that there are many challenging issues related to the different application area of fuzzy-rough set theory which can motivate future research studies. ...
, application field, type of study, study category, study contribution, and journal in which the articles have appeared. ...
Proposed dominance intuitionistic fuzzy decision tables
(DIFDT) based on a fuzzy-rough set approach
Pawlak [3]
Type 2 fuzzy
Proposed
Interval type 2
fuzzy and rough
sets
Integrated the interval ...
doi:10.1155/2017/1608147
fatcat:o6khgyofg5g55hwgdj2y6angii
Observations on Using Type-2 Fuzzy Logic for Reducing Semantic Gap in Content–Based Image Retrieval System
2014
Journal of clean energy technologies
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A comparative study with the state-of-the-art type-1 fuzzy based image retrieval approaches reveals the effectiveness of the proposed system. ...
Index Terms-Type-2 fuzzy logic, semantic-based image retrieval, soft computing, image processing. ...
Things simplify a lot when secondary MFs are interval sets (in this case, the secondary memberships are either zero or one and we call them interval type-2 sets (IT2FS)) and this is the case employed in ...
doi:10.7763/ijcte.2015.v7.921
fatcat:j2v2n46rrvf7bfe6agvbvhbm6y
Managing Vagueness with Fuzzy in Hierarchical Big Data1
2015
Procedia Computer Science
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In this paper we apply fuzzy set theory, specifically the X-μ approach which is shown to be more efficient than a standard fuzzy approach, to attributes within linked data. ...
The hierarchical nature of film categories lends itself well to our application, and we apply fuzzy models to handle the vagueness in attributes such as film length, film budget, and box office takings ...
In this case one could take the approach that fuzzy values should be added into the semantic web data types, and therefore a fuzzy ontology language or a fuzzy resource description framework ("RDF") would ...
doi:10.1016/j.procs.2015.07.275
fatcat:44vzrzk2mneq5gnutfa65uh6ve
Fuzzy Improved Decision Tree Approach for Outlier Detection in SMS
2015
International Journal of Computer Applications
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A comparison of existing Bayesian and proposed Fuzzy based decision tree approach is done. The results shows that the recognition rate is improved using the proposed approach. ...
After that this textual information is converted to the statistical information using fuzzy and assign the weights to dataset. ...
One of them for the detection of Web Spam categorize algorithms into three categories based on the type of information they use: content-based methods, link-based methods, and methods based on non-traditional ...
doi:10.5120/21149-4130
fatcat:mvtl7sg52fawrjxnvsbu4k42s4
Contribution to Collaborative Filtering Based on Soft Computing to Enhance Recommender System for e-Commerce
2014
International Journal of e-Education, e-Business, e-Management and e-Learning
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This technique is based on the idea that a set of like-mind users can help each other to find valuable information. ...
Because of these motives, this paper adopts type-2 fuzzy linguistic approach to efficiently describe the user ratings and weights to precisely rank the relevant items to a user. ...
Since Feb. 2012, he has been an associate professor in the Department of Information Technology, Institute of Graduate Studies and Research, Egypt. ...
doi:10.7763/ijeeee.2014.v4.341
fatcat:pvj4dwhwvbetfi5b5lvcnxymxa
Web-based Service Information Systems based on Fuzzy Linguistic Techniques and Semantic Web Technologies
[chapter]
2007
Studies in Computational Intelligence
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This system uses fuzzy linguistic techniques to deal with qualitative information in a userfriendly way. ...
In this paper we focus on the analysis of the retrieval phase. With this multi-agent system model the retrieval capabilities on the Web can be considerably increased. ...
, a document type property, and a set of content classification categories. ...
doi:10.1007/978-3-540-37017-8_30
fatcat:vdab3yoar5erzmtkmacfueuizu
Overcoming time-varying co-channel interference using type-2 fuzzy adaptive filters
2000
IEEE transactions on circuits and systems - 2, Analog and digital signal processing
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This paper presents a method for overcoming time-varying co-channel interference (CCI) using type-2 fuzzy adaptive filters (FAF). ...
Index Terms-Co-channel interference, equalizers, time-varying channels, type-2 fuzzy adaptive filters, type-2 fuzzy logic systems. ...
However, a type-1 or type-2 FAF can detect an information symbol just based on computing the fired rules. ...
doi:10.1109/82.899635
fatcat:cdbbledn2bhq5bkvrzp4tj6sjy
Data Integration, Approximate Categorisation and Fuzzy Associations
2009
European Society for Fuzzy Logic and Technology
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In most cases, the seemingly crisp granulation of a taxonomy disguises the fact that categories are based on loosely defined concepts which are better modelled by allowing graded membership. ...
We illustrate with examples drawn from a system that integrates information from web-based sources. ...
Acknowledgment This work was partly funded by BT and the Defence Technology Centre for Data and Information Fusion. ...
dblp:conf/eusflat/MartinS09
fatcat:z6he3ytgpngjphuryvhghlyw3a
A hybrid recommendation approach for a tourism system
2013
Expert systems with applications
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In order to deal with some of them, in this work we implement a recommendation methodology in a recommender system for tourism, where classification based on association is applied. ...
Classification based on association methods, also named associative classification methods, consist of an alternative data mining technique, which combines concepts from classification and association ...
Depending on the context and the type of method considered, fuzzy logic can be used both in content-based and collaborative filtering approaches. ...
doi:10.1016/j.eswa.2012.12.061
fatcat:jf4ee64zjzh3hmh6tf4mbyd4um
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