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检索条件"主题词=Fuzzy Rule-Based Classification System"
18 条 记 录,以下是1-10 订阅
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fuzzy rule-based classification system using multi-population quantum evolutionary algorithm with contradictory rule reconstruction
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APPLIED INTELLIGENCE 2019年 第11期49卷 4007-4021页
作者: Zhang, YuXian Qian, XiaoYi Wang, Jianhui Gendeel, Mohammed Shenyang Univ Technol Sch Elect Engn Shenyang Liaoning Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang Liaoning Peoples R China
fuzzy rule-based classification systems (FRBCSs) are appropriate tools for dealing with classification problems because of their interpretable models based on linguistic variables. Intelligent optimization techniques ... 详细信息
来源: 评论
A fuzzy rule-based classification system Using Interval Type-2 fuzzy Sets
A Fuzzy Rule-Based Classification System Using Interval Type...
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International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2011)
作者: Tang, Min Chen, Xia Hu, Weidong Yu, Wenxian Natl Univ Def Technol ATR Key Lab Changsha 410073 Hunan Peoples R China Shanghai Jiao Tong Univ Sch ElectInformat & Elect Shanghai 200030 Peoples R China Shanghai Jiao Tong Univ Sch Elect Engn Shanghai 200030 Peoples R China
The design of type-2 fuzzy rule-based classification systems from labeled data is considered in this study. With the aid of interval type-2 fuzzy sets, which can effectively capture uncertainties in the data, a compac... 详细信息
来源: 评论
A Multi-objective Evolutionary Algorithm for Tuning Type-2 fuzzy Sets with rule and Condition Selection on fuzzy rule-based classification system  10th
A Multi-objective Evolutionary Algorithm for Tuning Type-2 F...
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10th Conference of the European-Society-for-fuzzy-Logic-and-Technology (EUSFLAT) / 16th International Workshop on Intuitionistic fuzzy Sets and Generalized Nets (IWIFSGN)
作者: Cardenas, Edward Hinojosa Camargo, Heloisa A. Univ San Agustin Arequipa Peru Univ Fed Sao Carlos Sao Carlos SP Brazil
This paper presents a Multi-Objective Evolutionary Algorithm (MOEA) for tuning type-2 fuzzy sets and selecting rules and conditions on fuzzy rule-based classification systems (FRBCS). Before the tuning and selection p... 详细信息
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Hybrid fuzzy rule-based classification system for MOODLE LMS system
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JOURNAL OF INTERNET TECHNOLOGY 2021年 第1期22卷 81-90页
作者: Zhao, Qun Lai, Shou-Chuan Wang, Jin-Long Wang, Li-Yu Ningbo Univ Coll Sci & Technol Ningbo Peoples R China Ming Chuan Univ Dept Informat & Telecommun Engn Taoyuan Taiwan Ming Chuan Univ Div Student Affairs Taoyuan Taiwan
Educational data are widely applied to predict students' academic performance in educational systems. Prior research mainly used students' past learning data to predict their future performance. However, these... 详细信息
来源: 评论
Modified fuzzy rule-based classification system for Early Warning of Student Learning
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Journal of Educational Technology systems 2019年 第3期48卷 385 - 406页
作者: Qun Zhao Jin-Long Wang Tsang-Long Pao Li-Yu Wang Department of Electronic Commerce at the College of Science and Technology Ningbo University People’s Republic of China Department of Information and Telecommunication Engineering Ming Chuan University Taipei City Taiwan Department of Computer Science and Engineering Tatung University Taipei City Taiwan
This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of ma... 详细信息
来源: 评论
Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems
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APPLIED SOFT COMPUTING 2018年 67卷 728-740页
作者: Elkano, Mikel Galar, Mikel Antonio Sanz, Jose Fernanda Schiavo, Paula Pereira, Sidnei, Jr. Pereira Dimuro, Gracaliz Borges, Eduardo N. Bustince, Humberto Univ Publ Navarra Dept Automot & Comp Campus Arrosadia Navarra 31006 Spain Univ Publ Navarra Inst Smart Cities Campus Arrosadia Navarra 31006 Spain Univ Fed Rio Grande Ctr Ciencias Computacionais Av Italia Km 08Campus Carreiros BR-96201900 Rio Grande Brazil
The aim of this paper is to propose a consensus method via penalty functions for decision making in ensembles of fuzzy rule-based classification systems (FRBCSs). For that, we first introduce a method based on overlap... 详细信息
来源: 评论
Application of the Sugeno integral in fuzzy rule-based classification
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APPLIED SOFT COMPUTING 2024年 167卷
作者: Wieczynski, Jonata Lucca, Giancarlo Borges, Eduardo Urio-Larrea, Asier Molina, Carlos Lopez Bustince, Humberto Dimuro, Gracaliz Univ Publ Navarra UPNA Dept Estadist Informat & Matemat Pamplona Navarra Spain Univ Catolica Pelotas UCPEL Mestrado Engn Elect & Computacao Pelotas RS Brazil Univ Fed Rio Grande FURG Ctr Ciencias Computacionais Rio Grande RS Brazil
fuzzy rule-based classification system (FRBCS) is a well-known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations (e.g.: C-T-integr... 详细信息
来源: 评论
Belief rule-based classification system: Extension of FRBCS in belief functions framework
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INFORMATION SCIENCES 2015年 309卷 26-49页
作者: Jiao, Lianmeng Pan, Quan Denoeux, Thierry Liang, Yan Feng, Xiaoxue Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China Univ Technol Compiegne Heudiasyc UMR CNRS 7253 F-60205 Compiegne France Univ Technol Troyes ICD LM2S UMR CNRS 6279 F-10010 Troyes France
Among the computational intelligence techniques employed to solve classification problems, the fuzzy rule-based classification system (FRBCS) is a popular tool capable of building a linguistic model interpretable to u... 详细信息
来源: 评论
Application of the Sugeno Integral in fuzzy rule-based classification  1
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11th Brazilian Conference on Intelligent systems (BRACIS)
作者: Wieczynski, Jonata Lucca, Giancarlo Borges, Eduardo Dimuro, Gracaliz Univ Publ Navarra Dept Estadist Informat & Matemat Pamplona Spain Univ Fed Rio Grande Ctr Ciecias Comp Rio Grande Brazil
fuzzy rule-based classification system (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the qu... 详细信息
来源: 评论
EEG rhythm/channel selection for fuzzy rule-based alertness state characterization
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NEURAL COMPUTING & APPLICATIONS 2018年 第7期30卷 2257-2267页
作者: Al-Ani, Ahmed Mesbah, Mostefa Univ Technol Sydney Fac Engn & Informat Technol Ultimo NSW 2007 Australia Sultan Qaboos Univ Dept Elect & Comp Engn Muscat Oman Univ Western Australia Sch Comp Sci & Software Engn Crawley WA 6009 Australia
The aim of the paper is to automatically select the optimal EEG rhythm/ channel combinations capable of classifying human alertness states. Four alertness states were considered, namely 'engaged', 'calm... 详细信息
来源: 评论