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Hybrid Computational Intelligence System for Fashion Design
2021
International Journal of System Dynamics Applications
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The system is based on generic hybrid architecture using fuzzy logic and genetic algorithm, which can be used to evolve various products in different domains and tested with interactive fuzzy fitness functions ...
The design of the generic architecture meets the research gap identified through an in-depth literature survey. ...
Section 2 of the paper presents a literature review on the use of genetic algorithms, fuzzy logic, and genetic-fuzzy hybridisation in fashion design and other domains. ...
doi:10.4018/ijsda.20221101.oa2
fatcat:ovcclyonync57euapgvfhtv4w4
Decade Review (1999-2009): Artificial Intelligence Techniques in Student Modeling
[chapter]
2009
Communications in Computer and Information Science
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In this paper, we present the most interesting attempts to apply artificial intelligence methods such as fuzzy logic, neural networks, genetic programming and hybrid approaches such as neurofuzzy systems ...
This latest research trend is a part of every Intelligent Tutoring System and aims at generating and updating a student model in order to modify learning content to fit individual needs or to provide reliable ...
Fuzzy logic is a multi-valued version of Boolean logic based on fuzzy set theory. ...
doi:10.1007/978-3-642-04757-2_59
fatcat:bius4vgvrrd6ffkn7qfdwujnbe
Editorial
2015
International Journal of Computational Intelligence Systems
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We sincerely thank Luis Martinez and Jie Lu, Editors in-Chief of International Journal of Computational Intelligence Systems, for advising and providing us with the opportunity to edit this issue. ...
The Guest Editors of this special issue thank all the authors for their quality contributions and the referees for their elaborated and constructive comments to achieve the quality of this special issue ...
In the paper Archimedean-Compensatory Fuzzy Logic Systems by Espin-Andrade et al. a new kind of logic is presented unifying continuous Archimedean fuzzy logic and a compensatory fuzzy logic which includes ...
doi:10.1080/18756891.2015.1129586
fatcat:qfldrrcvwnazvg3t3yqxiodwuy
Soft Computing Techniques and Applications in Electrical Drives Fuzzy logic, and Genetic Algorithm
2018
Helix
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This paper mainly focuses on soft computing and hard computing techniques and the comparison of these techniques when applying for electrical motor drives. ...
Soft computing schemes yield a power to make determinations and research from the certain knowledge or expert's experience. ...
My special thanks to my husband for complete support to do this paper. ...
doi:10.29042/2018-3285-3289
fatcat:jf26ymltobgdlargvquhbo755a
Intelligent System for Forecasting Failure of Agile Projects
2021
Zenodo
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Journal of Intelligent Systems and Internet of Things (JISIoT) Vol. 5, No. 1, PP. 08-19, 2021 ...
This section also presents a general fuzzy logic algorithm to reveal failure of agile software projects. ...
Algorithm 2 . 2 The general Algorithm of the Fuzzy Logic to Reveal Failure of Agile Software Projects. 1. Input : α (a final list of crucial failure features of agile software projects) 2. ...
doi:10.5281/zenodo.5218978
fatcat:77ywgx5suraczim7kwtcmh4rrm
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems
2020
IEEE transactions on fuzzy systems
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Cpałka was a recipient of the IEEE TRANSACTIONS ON NEURAL NETWORKS Outstanding Paper Award in 2005. ...
The effectiveness of the proposed method is tested on the well-known test images and the obtained results are compared with the results using other well-known methods taken from the literature. ...
doi:10.1109/tfuzz.2020.2983712
fatcat:3xvjzkaagvernkwv4zs3xsptfy
An Approach to Oral English Assessment Based on Intelligent Computing Model
2022
Scientific Programming
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Therefore, this paper will set up an intelligent computing model to evaluate and analyze spoken English in a standard and accurate way. ...
Artificial intelligence speech synthesis and imitation of voice change are typical applications of decoupling representation learning in speech, the oral evaluation is based on the proposition that speech ...
Based on the intelligent computing model, this paper analyzes the standardized methods of export language evaluation more accurately. e research results are as follows: (1) By comparing the fuzzy logic ...
doi:10.1155/2022/4663574
fatcat:q7gzkrzzl5b43aqycj7ezrbzui
Generalizing Term Subsumption Languages to Fuzzy Logic
1991
International Joint Conference on Artificial Intelligence
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Based on a test score semantics in fuzzy logic, this paper first generalizes the semantics of term subsumption languages. ...
application of fuzzy logic to complex intelligent systems that need to perform highlevel analyses using conceptual abstractions. ...
I would also like to thank the referees for their comments on an earlier draft of the paper. ...
dblp:conf/ijcai/Yen91
fatcat:7a473geqzzawpbsdroxett4bme
Mamdani Model Based Adaptive Neural Fuzzy Inference System And Its Application
2009
Zenodo
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From in-depth discussion on Simulation Mechanism Based (SMB) classification method and composite patterns, this paper presents the Mamdani model based Adaptive Neural Fuzzy Inference System (M-ANFIS) and ...
Hybrid algorithm is the hot issue in Computational Intelligence (CI) study. ...
Its main branches are fuzzy logic (FL), artificial neural network (ANN), evolutionary computing (EC), etc. Research on hybrid algorithms has been the hot issues in CI study. ...
doi:10.5281/zenodo.1061738
fatcat:kkcmyov3hrc6tp7okbnuofcroe
Design and Application of Fuzzy Logic System Based on QPSO Intelligent Algorithm
2017
ICIC Express Letters
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Due to its wide application, fuzzy logic system has become a hot research topic in the field of academic and practical application. ...
The quantum behaved particle swarm optimization (QPSO) intelligent algorithm was used to tune the fuzzy logic system parameters, and the design of intelligent system is applied in the prediction of the ...
This work is supported by the National Natural Science Foundation of China (61374113), and by Liaoning Province College Basic Scientific Research Business Funding Project (JW201615421). ...
doi:10.24507/icicel.11.01.143
fatcat:ykhahwqpdzczjky6zey5ybcmvm
Versatile Intelligent Portable Robot Platform Developed through Adaptive Neuro-Fuzzy Control
2019
International Journal of Modeling and Optimization
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The Cartesian robot workspace, which is learned using an adaptive neuro-fuzzy control for the prediction of desired references was generate. ...
Her interest researches are on development of a versatile, intelligent, portable robot platform VIPRO with real-time control systems for mobile robots, techniques that use image analysis, image formation ...
Fuzzy Logic has long been used in academia and in industry and is one of the more palpable staples of artificial intelligence in use in the world today. ...
doi:10.7763/ijmo.2019.v9.722
fatcat:tdnvamuyl5btfg6ux4tza7nhya
Adaptive Neuro-Fuzzy Controler With Genetic Training For Mobile Robot Control
2012
International Journal of Computers Communications & Control
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We optimize the performance of our simplified fuzzy controller using neural network that utilizes genetic algorithm learning. ...
In this paper, we investigate the use of adaptive techniques in the optimization of navigation of Khepera mobile robot in an unstructured and dynamic environment. ...
Mobile robot researchers have carried out various researches in this direction using various intelligent techniques methods such as fuzzy logic, neural network and genetic algorithm and their different ...
doi:10.15837/ijccc.2012.1.1429
fatcat:33ciz3y5azcfjfjfc2ne2bwdqu
On the Applicability of Soft Computing Techniques in Regression Testing
2017
International Journal of Computer Applications
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The work also presents computational intelligence based test case prioritization techniques. The work reviews test case prioritization based on Neural Networks, Genetic Algorithms and Fuzzy Logic. ...
Test case prioritization technique re-orders the test cases in such a way that important test cases are executed within the resources. The work reviews different test case prioritization techniques. ...
These include Neural Networks, Genetic Algorithms and Fuzzy Logic. The paper surveys work undertaken in test case prioritization using computational intelligent techniques. ...
doi:10.5120/ijca2017916042
fatcat:4jqpgqltt5aw7hlfsgw3pfivnq
Computational Intelligence in Highway Management: A Review
2015
Promet (Zagreb)
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This paper provides a review of the existing approaches to highway management systems, particularly speed harmonization and ramp metering. ...
still important and that the existing research exhibits potential for further enhancement. ...
It is an example of a data driven approach. The next large group of algorithms presented by the researchers belongs to the field of fuzzy logic. ...
doi:10.7307/ptt.v27i5.1667
fatcat:clgj6nx6frgefae4uszlxfvija
Intelligent Techniques for MPPT Control in Photovoltaic Systems: A Comprehensive Review
2014
2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology
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Photovoltaic (PV) electrical power generation, as one of renewable energy source, is a technique which uses solar energy to produce electric energy. ...
This paper compares between the works done in these algorithms concentrating on the AI algorithms which have proven higher efficiency in this field. ...
INTRODUCTION Recently, energy generated from clean, renewable, efficient, and environmental friendly sources has become one of the of the major research areas for scientists and engineers. ...
doi:10.1109/icaiet.2014.13
fatcat:bzpbksuvsrflvfkpltv2fs3loy
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