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Fuzzy logic
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291	Chaos Theory: An introduction for TESOL practitioners Bob Hodge This is an electronic version of an article published as: Hodge, B. 2003, ‘Chaos Theory: An Introduction for TESOL Practitioners’, English Australia, 21 Add to Reading List Source URL: www.uws.edu.au Language: English - Date: 2012-06-06 21:50:55 Knowledge English-language education Artificial intelligence Logic in computer science English as a foreign or second language Chaos theory Linear Bob Hodge Fuzzy logic Science Systems scientists Academia
292	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Data-driven Modelling and Analysis of Household Travel Mode Choice Nagesh Shukla, Jun Ma, Roh Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 21:59:21 Economics Fuzzy logic Mode choice Trip distribution Travel behavior Discrete choice Choice modelling Logistic regression Artificial neural network Statistics Transportation planning Science
293	Enhancements of Discrete-Event Simulation for Modeling Construction Operations Student : Mr. Hong ZHANG Supervisor : Dr. C.M. TAM Programme : Doctor of Philosophy Department of Building and Construction, City University Add to Reading List Source URL: www.sgs.cityu.edu.hk Language: English - Date: 2004-01-08 09:10:41 Electronic design automation Science Interpretation Scientific modelling Simulation Logic simulation Fuzzy logic AnyLogic Electronic engineering Digital electronics Simulation software
294	1.1 Dr Philippe de Wilde Higher Education Institute : Imperial College Imperial College of Science, Technology and Medicine Add to Reading List Source URL: www.virkonnen.co.uk Language: English - Date: 2003-10-13 10:58:00 Privacy Fuzzy logic Internet privacy Logic Ethics Email Internet
295	Intelligent Ship Control System A. Łebkowski, R. Śmierzchalski, W. Gierusz & K. Dziedzicki Gdynia Maritime University, Gdynia, Poland ABSTRACT: The article present intelligent control system of ship motion in situation Add to Reading List Source URL: transnav2007.am.gdynia.pl Language: English - Date: 2010-03-14 05:12:49 Control theory Cybernetics Fuzzy control system Ship Fuzzy logic Logic Science Control engineering
296	Intelligent VTS W. Filipowicz Gdynia Maritime University, Poland ABSTRACT: In this paper the author depicts new approach involving fuzziness in navigational situation assessment. Nowadays operator at maritime traffic mon Add to Reading List Source URL: transnav2007.am.gdynia.pl Language: English - Date: 2010-03-14 05:12:48 Data fusion Sensor fusion Fuzzy set Defuzzification Vessel traffic service Logic Fuzzy logic Mathematical logic
297	POSTER SESSIONS 17 APPLICATION OF FUZZY MODELS FOR GEOGRAPHICAL INFORMATION SYSTEMS Manusov V.Z .• Patrushev S.B .• Krishnamurthy G. Novosibirsk State Technical University Add to Reading List Source URL: icaci.org Language: English - Date: 2014-12-02 17:35:52 Artificial intelligence Logic in computer science Non-classical logic Fuzzy set Membership function Type-2 fuzzy sets and systems Fuzzy control system Logic Fuzzy logic Mathematical logic
298	In: Paparoditis N., Pierrot-Deseilligny M., Mallet C., Tournaire O. (Eds), IAPRS, Vol. XXXVIII, Part 3B – Saint-Mandé, France, September 1-3, 2010 OPTIMUM SELECTION OF IMAGES IN INDUSTRIAL PHOTOGRAMMETRY USING FUZZY Add to Reading List Source URL: www.isprs.org Language: English - Date: 2012-10-18 14:37:33 Geodesy Surveying Optics Science Fuzzy control system Fuzzy logic Bundle adjustment Mathematical optimization Depth of field Photogrammetry Measurement Cartography
299	IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 35, NO. 2, APRIL[removed]Fuzzy Combination of Fuzzy and Switching State-Feedback Controllers for Nonlinear Systems Add to Reading List Source URL: repository.lib.polyu.edu.hk Language: English - Date: 2014-12-02 23:36:03 Artificial intelligence Control engineering Systems theory Control theory Logic in computer science Fuzzy control system Control system Feedback Type-2 fuzzy sets and systems Logic Fuzzy logic Science
300	Multimodality in Pervasive Environment Marco Anisetti, Valerio Bellandi, Paolo Ceravolo and Ernesto Damiani Abstract Future pervasive environments are expected to immerse users in a consistent world of probes, sensors an Add to Reading List Source URL: drops.dagstuhl.de Language: English - Date: 2010-06-07 09:14:15 Sensors Probability interpretations Information science Semantic Web Cognition Uncertain inference Semantic Sensor Web Uncertainty Fuzzy logic Science Logic Knowledge

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