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检索条件"丛书名=World Scientific Proceedings Series On Computer Engineering And Information Science"
774 条 记 录,以下是11-20 订阅
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MODELING THE PHYSIOLOGICAL SIGNAL ON FOQ IN CADET TRAINING  12
MODELING THE PHYSIOLOGICAL SIGNAL ON FOQ IN CADET TRAINING
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Zhang, Long Xu, Kaijun Yao, Yusheng Sun, Jingzhou Civil Aviat Flight Univ China Guanghan Peoples R China Beijing Univ Aeronaut & Astronaut Beijing Peoples R China
Flight training is an important means for the cadets to master the theoretical knowledge, improve the practical operation ability and train the mental quality of the flight. This paper established a FOQ (Flight Operat... 详细信息
来源: 评论
LOCALLY ADAPTIVE FEATURE WEIGHTING FOR MULTI-VIEW CLUSTERING  12
LOCALLY ADAPTIVE FEATURE WEIGHTING FOR MULTI-VIEW CLUSTERING
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Deng, Q. Yang, Y. He, M. Xing, H. Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu 611756 Sichuan Peoples R China
Multi-view clustering suffers from the curse of dimensionality. We propose a locally adaptive feature weighting method based on subspace learning for multi-view data, which is an effective way to overcome the curse. I... 详细信息
来源: 评论
A NOVEL APPROACH FOR THE SELECTION OF INITIAL MODES FOR THE POSSIBILISTIC K-MODES  12
A NOVEL APPROACH FOR THE SELECTION OF INITIAL MODES FOR THE ...
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Ammar, A. Elouedi, Z. Univ Tunis LARODEC Inst Super Gest Tunis 41 Ave Liberte Le Bardo 2000 Tunisia
In this paper, we develop a new method denoted by PKM-SIM for the selection of the k initial modes for the k-modes clustering method in an uncertain context. The PKM-SIM combines the possibility theory with the standa... 详细信息
来源: 评论
A NOVEL APPROACH FOR CRITERIA EVALUATION IN STRATEGIC MARKETING MANAGEMENT: INTUITIONISTIC COGNITIVE MAP  12
A NOVEL APPROACH FOR CRITERIA EVALUATION IN STRATEGIC MARKET...
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Dogu, Elif Albayrak, Y. Esra Galatasaray Univ Dept Ind Engn Ciragan Cad 36 Besiktas TR-34349 Istanbul Turkey
This study proposes a novel approach called Intuitionistic Cognitive Map, for evaluating and assessing the criteria which influence the pricing strategy of a company in the new product development process. Intuitionis... 详细信息
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A DIAGNOSIS AID SYSTEM OF AUTISM IN A MULTI-VALUED FRAMEWORK  12
A DIAGNOSIS AID SYSTEM OF AUTISM IN A MULTI-VALUED FRAMEWORK
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Kacem, Saoussen Bel Hadj Borgi, Amel Othman, Sami Manouba Univ Carthage Univ Fac Econ Sci & Management Nabeul COSMOSNatl Sch Comp Sci Manouba Tunisia Tunis El Manar Univ Fac Sci Tunis High Inst Comp ISI LIRPAH Tunis Tunisia Tunis El Manar Univ Fac Med Tunis Razi Hosp Child Psychiat Dept Manouba Tunisia
We introduce in this paper a tool for the diagnosis of autism called DAS-Autism. For this, we use our knowledge-based system shell RAMOLI. This system handles knowledge in the multi-valued context. Moreover, its infer... 详细信息
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MULTI-BLOCK COVARIANCE TRACKING USING INTEGRAL REGION  12
MULTI-BLOCK COVARIANCE TRACKING USING INTEGRAL REGION
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: He, Ruhan Ma, Jun Chen, Jia Li, Dengfeng Huang, Qingjun Wuhan Text Univ Coll Math & Comp Sci Wuhan 430200 Hubei Peoples R China
Covariance tracking has achieved impressive successes in recent years due to its competent region covariance-based feature descriptor. However, it is easy to be affected by partly occlusion and background distraction,... 详细信息
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ROBUSTNESS OF INTUITIONISTIC FUZZY DIFFERENCE OPERATORS  12
ROBUSTNESS OF INTUITIONISTIC FUZZY DIFFERENCE OPERATORS
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Zanotelli, R. Reiser, R. Yamin, A. Bedregal, B. Univ Fed Pelotas CDTEC Pelotas RS Brazil Univ Fed Rio Grande do Norte DIMAP Natal RN Brazil
The robustness analysis of intuitionistic fuzzy difference (IFD) is based on an evaluation of the delta sensitivity in representable fuzzy negations, triangular norms and conorms. The results in the class of IFD opera... 详细信息
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QUALITATIVE CROSS IMPACT ANALYSIS USING HESITANT FUZZY SETS  12
QUALITATIVE CROSS IMPACT ANALYSIS USING HESITANT FUZZY SETS
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Asan, Umut Kadaifci, Cigdem Bozdag, Erhan Istanbul Tech Univ Dept Ind Engn TR-34357 Istanbul Turkey
Qualitative Cross Impact Analysis is a futures research tool used to explore both direct and indirect relationships of variables in a system to structure and formalize judgmental forecasting. The analysis, dealing wit... 详细信息
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MODELING FABRIC HAND OF A TEXTILE PROCESS USING A MULTILAYER PERCEPTRON PRUNING ALGORITHM  12
MODELING FABRIC HAND OF A TEXTILE PROCESS USING A MULTILAYER...
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Feki, Imed Msahli, Faouzi Zeng, Xianyi Koehl, Ludovic Ecole Natl Ingn Monastir ESIER Ave Ibn Jazzar Monastir 5019 Tunisia Ecole Natl Super Arts & Ind Text Lab GEMTEX 2 Allee Louise & Victor Champier F-59056 Roubaix France
As the textile materials and processes have inherent variability, estimation of their properties by mathematical models often yields a very high prediction error. Artificial Neural Network (ANN) systems present the po... 详细信息
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NON-PARAMETRIC REGRESSION USING DISCRETE HIGHER DEGREE F-TRANSFORM  12
NON-PARAMETRIC REGRESSION USING DISCRETE HIGHER DEGREE F-TRA...
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12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear science (FLINS)
作者: Holcapek, M. Univ Ostrava NSC IT4Innovt Inst Res & Applicat Fuzzy Modeling 30 Dubna 22 Ostrava 70103 1 Czech Republic
In this article, we propose the non-parametric estimation of functions and their partial derivatives from samples using the discrete version of the multivariate fuzzy transform of higher degree.
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