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Статті в журналах з теми "Uncertainty (Information theory)"
Egghe, Leo. "Uncertainty and information: Foundations of generalized information theory." Journal of the American Society for Information Science and Technology 58, no. 5 (2007): 756–58. http://dx.doi.org/10.1002/asi.20519.
Повний текст джерелаShokry, M., and Manar Omran. "The Information System by Uncertainty Theory." Journal of Engineering Research 3, no. 12 (December 1, 2019): 35–40. http://dx.doi.org/10.21608/erjeng.2019.125749.
Повний текст джерелаTang, Yongchuan, Yong Chen, and Deyun Zhou. "Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion." Entropy 24, no. 11 (November 2, 2022): 1596. http://dx.doi.org/10.3390/e24111596.
Повний текст джерелаYan, Xi-zu, and Zhong-min Song. "The portfolio models of contained grey profit under uncertainty." Grey Systems: Theory and Application 4, no. 3 (October 28, 2014): 487–94. http://dx.doi.org/10.1108/gs-09-2014-0035.
Повний текст джерелаYang, Bin, Dingyi Gan, Yongchuan Tang, and Yan Lei. "Incomplete Information Management Using an Improved Belief Entropy in Dempster-Shafer Evidence Theory." Entropy 22, no. 9 (September 7, 2020): 993. http://dx.doi.org/10.3390/e22090993.
Повний текст джерелаYOU, CUILIAN. "UNCERTAINTY EXTENSION THEOREM AND PRODUCT UNCERTAIN MEASURE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 02 (April 2010): 197–208. http://dx.doi.org/10.1142/s0218488510006489.
Повний текст джерелаLi, Xihua, Fuqiang Wang, and Xiaohong Chen. "Trapezoidal Intuitionistic Fuzzy Multiattribute Decision Making Method Based on Cumulative Prospect Theory and Dempster-Shafer Theory." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/279138.
Повний текст джерелаLee, Jejung, Abdallah Sayyed-Ahmad, and Dong-Hoon Sheen. "Basin model inversion using information theory and seismic data." GEOPHYSICS 72, no. 6 (November 2007): R99—R108. http://dx.doi.org/10.1190/1.2757738.
Повний текст джерелаZhang, Shao Pu, and Tao Feng. "Uncertainty Measure Based on Evidence Theory." Applied Mechanics and Materials 329 (June 2013): 344–48. http://dx.doi.org/10.4028/www.scientific.net/amm.329.344.
Повний текст джерелаHe, Rongheng, Hui Li, Bo Zhang, and Mei Chen. "The multi-level warehouse layout problem with uncertain information: uncertainty theory method." International Journal of General Systems 49, no. 5 (June 22, 2020): 497–520. http://dx.doi.org/10.1080/03081079.2020.1778681.
Повний текст джерелаДисертації з теми "Uncertainty (Information theory)"
De, Aguinaga José Guillermo. "Uncertainty Assessment of Hydrogeological Models Based on Information Theory." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-71814.
Повний текст джерелаHydrogeologische Modellierung ist von erheblicher Unsicherheit geprägt. Überparametrisierte Modelle erhöhen die Unsicherheit, da gemessene Informationen auf alle Parameter verteilt sind. Die vorliegende Arbeit schlägt einen neuen Ansatz vor, um diese Unsicherheit zu reduzieren. Eine Möglichkeit, um dieses Ziel zu erreichen, besteht darin, ein Modell auszuwählen, das ein gutes Ergebnis mit möglichst wenigen Parametern liefert („parsimonious model“), und es zu kalibrieren, indem viele Informationsquellen genutzt werden. Das 1973 von Hirotugu Akaike vorgeschlagene Informationskriterium, bekannt als Akaike-Informationskriterium (engl. Akaike’s Information Criterion; AIC), ist ein statistisches Wahrscheinlichkeitskriterium basierend auf der Informationstheorie, welches die Auswahl eines Modells mit möglichst wenigen Parametern erlaubt. AIC formuliert das Problem der Entscheidung für ein gering parametrisiertes Modell als ein modellübergreifendes Optimierungsproblem. Die Anwendung von AIC in der Grundwassermodellierung ist relativ neu und stellt eine Herausforderung in der Anwendung verschiedener Messquellen dar. In der vorliegenden Dissertation werden maßgebliche Forschungsergebnisse in der Anwendung des AIC in hydrogeologischer Modellierung unter Anwendung unterschiedlicher Messquellen diskutiert. AIC wird an Grundwassermodellen getestet, bei denen drei synthetische Datensätze angewendet werden: Wasserstand, horizontale hydraulische Leitfähigkeit und Tracer-Konzentration. Die vorliegende Arbeit analysiert den Einfluss folgender Faktoren: Anzahl der Messungen, Arten der Messungen und Reihenfolge der kalibrierten Parameter. Diese Analysen machen nicht nur deutlich, dass die Anzahl der gemessenen Parameter die Komplexität eines Modells bestimmt, sondern auch, dass seine Diversität weitere Komplexität für gering parametrisierte Modelle erlaubt. Allerdings konnte ein solches Modell nur erreicht werden, wenn eine bestimmte Reihenfolge der kalibrierten Parameter berücksichtigt wurde. Folglich sollten zuerst jene Parameter in Betracht gezogen werden, die deutliche Verbesserungen in der Modellanpassung liefern. Der Ansatz, ein gering parametrisiertes Modell durch die Anwendung des AIC mit unterschiedlichen Informationsarten zu erhalten, wurde erfolgreich auf einen Lysimeterstandort übertragen. Dabei wurden zwei unterschiedliche reale Messwertarten genutzt: Evapotranspiration und Sickerwasser. Mit Hilfe dieser weiteren, unabhängigen Modellbewertung konnte die Gültigkeit dieses AIC-Ansatzes gezeigt werden
Dalvi, Nilesh. "Managing uncertainty using probabilistic databases /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6920.
Повний текст джерелаAleem, I. "Information, uncertainty and rural credit markets in Pakistan." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.482927.
Повний текст джерелаZhang, Yanyang. "Second-order effects on uncertainty analysis calculations." Master's thesis, Mississippi State : Mississippi State University, 2002. http://library.msstate.edu/etd/show.asp?etd=etd-10292002-122359.
Повний текст джерелаNoronha, Alston Marian Lee Jejung. "Information theory approach to quantifying parameter uncertainty in groundwater modeling." Diss., UMK access, 2005.
Знайти повний текст джерела"A thesis in civil engineering." Typescript. Advisor: Jejung Lee. Vita. Title from "catalog record" of the print edition Description based on contents viewed March 12, 2007. Includes bibliographical references (leaves 96-100). Online version of the print edition.
Adams, Carl. "Dealing with uncertainty within information systems development : applying prospect theory." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395995.
Повний текст джерелаKhiripet, Noppadon. "An architecture for intelligent time series prediction with causal information." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/13896.
Повний текст джерелаLu, An. "Processing and management of uncertain information in vague databases /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20LU.
Повний текст джерелаWindholz, Thomas. "Strategies for Handling Spatial Uncertainty due to Discretization." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/Windholz.pdf.
Повний текст джерелаCvijanovic, Zoran. "A computer laboratory for generalized information theory (COLGIT)." Diss., Online access via UMI:, 2007.
Знайти повний текст джерелаIncludes bibliographical references.
Книги з теми "Uncertainty (Information theory)"
Theory of decision under uncertainty. New York: Cambridge University Press, 2009.
Знайти повний текст джерела1940-, Ronen Yigal, ed. Uncertainty analysis. Boca Raton, Fla: CRC Press, 1988.
Знайти повний текст джерелаLiu, Baoding. Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.
Знайти повний текст джерелаKlir, George J. Uncertainty and information: Foundations of generalized information theory. Hoboken, NJ: Wiley-Interscience, 2006.
Знайти повний текст джерела1955-, Wierman Mark J., ed. Uncertainty-based information: Elements of generalized information theory. New York: Physica-Verlag, 1998.
Знайти повний текст джерелаKlir, George J. Uncertainty-based information elements of generalized information theory. Omaha: Creighton University, Center for Research in Fuzzy Mathematics and Computer Science, 1997.
Знайти повний текст джерелаKatzan, Harry. Managing uncertainty: A pragmatic approach. New York: Van Nostrand Reinhold, 1992.
Знайти повний текст джерелаTime, uncertainty, and information. Oxford, UK: B. Blackwell, 1989.
Знайти повний текст джерела1948-, Bouchon-Meunier B., Yager Ronald R. 1941-, and Zadeh Lotfi Asker, eds. Information, uncertainty, and fusion. Boston: Kluwer Academic Publishers, 2000.
Знайти повний текст джерела1948-, Bouchon-Meunier B., ed. Uncertainty and intelligent information systems. Singapore: World Scientific, 2008.
Знайти повний текст джерелаЧастини книг з теми "Uncertainty (Information theory)"
Sandri, Sandra, and Jacques Wainer. "A Fuzzy Extension to a Temporal Parsimonious Covering Theory." In Information, Uncertainty and Fusion, 147–58. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-5209-3_11.
Повний текст джерелаLalmas, Mounia. "Information Retrieval and Dempster-Shafer’s Theory of Evidence." In Applications of Uncertainty Formalisms, 157–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49426-x_8.
Повний текст джерелаMueller, Dennis C. "Information and Uncertainty: Power, Profits and Morality." In Game Theory, Experience, Rationality, 349–57. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1654-3_28.
Повний текст джерелаHuibers, Theo, and Bernd Wondergem. "Towards an Axiomatic Aboutness Theory for Information Retrieval." In Information Retrieval: Uncertainty and Logics, 297–318. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5617-6_12.
Повний текст джерелаLodwick, Weldon A., and Phantipa Thipwiwatpotjana. "Generalized Uncertainty Theory: A Language for Information Deficiency." In Flexible and Generalized Uncertainty Optimization, 37–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51107-8_2.
Повний текст джерелаLodwick, Weldon A., and Luiz L. Salles-Neto. "Generalized Uncertainty Theory: A Language for Information Deficiency." In Flexible and Generalized Uncertainty Optimization, 37–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61180-4_2.
Повний текст джерелаGilbert, Hugo. "Sequential Decision Making Under Uncertainty Using Ordinal Preferential Information." In Algorithmic Decision Theory, 573–77. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23114-3_36.
Повний текст джерелаDinh, Hai Q. "Some Aspects of Information Theory in Gambling and Economics." In Uncertainty Analysis in Econometrics with Applications, 61–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35443-4_5.
Повний текст джерелаSolaiman, Basel, and Éloi Bossé. "The Interrelated Uncertainty Modeling Theories." In Possibility Theory for the Design of Information Fusion Systems, 137–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32853-5_5.
Повний текст джерелаQuaeghebeur, Erik. "Introduction to the Theory of Imprecise Probability." In Uncertainty in Engineering, 37–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83640-5_3.
Повний текст джерелаТези доповідей конференцій з теми "Uncertainty (Information theory)"
Liu Zhiyong, Wang Qingyin, and Li Qi. "Universal information of uncertainty systematic theory." In 2007 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007. http://dx.doi.org/10.1109/gsis.2007.4443324.
Повний текст джерелаCapellari, Giovanni, Eleni Chatzi, and Stefano Mariani. "PARAMETER IDENTIFIABILITY THROUGH INFORMATION THEORY." In 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017. http://dx.doi.org/10.7712/120217.5376.17179.
Повний текст джерелаSudan, Madhu. "Communication amid uncertainty." In 2012 IEEE Information Theory Workshop (ITW 2012). IEEE, 2012. http://dx.doi.org/10.1109/itw.2012.6404647.
Повний текст джерелаJavidi, Tara, Yonatan Kaspi, and Himanshu Tyagi. "Gaussian estimation under attack uncertainty." In 2015 IEEE Information Theory Workshop (ITW). IEEE, 2015. http://dx.doi.org/10.1109/itw.2015.7133120.
Повний текст джерелаSundaresan, Rajesh. "Guessing Under Source Uncertainty With Side Information." In 2006 IEEE International Symposium on Information Theory. IEEE, 2006. http://dx.doi.org/10.1109/isit.2006.262026.
Повний текст джерелаSteiner, Avi, and Shlomo Shamai Shitz. "Broadcast Approach under Information Bottleneck Capacity Uncertainty." In 2020 Information Theory and Applications Workshop (ITA). IEEE, 2020. http://dx.doi.org/10.1109/ita50056.2020.9244931.
Повний текст джерелаPantelidou, Anna, and Anthony Ephremides. "A cross-layer view of wireless multicasting under uncertainty." In 2009 IEEE Information Theory Workshop on Networking and Information Theory (ITW). IEEE, 2009. http://dx.doi.org/10.1109/itwnit.2009.5158552.
Повний текст джерелаVeresnikov, G. S., L. A. Pankova, V. A. Pronina, and E. A. Trahtengerts. "Using Uncertainty Theory in Optimal Robust Design with Uncertain Parameters." In 2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2017. http://dx.doi.org/10.1109/icaict.2017.8687062.
Повний текст джерелаChe, Pak Hou, Mayank Bakshi, Chung Chan, and Sidharth Jaggi. "Reliable deniable communication with channel uncertainty." In 2014 IEEE Information Theory Workshop (ITW). IEEE, 2014. http://dx.doi.org/10.1109/itw.2014.6970786.
Повний текст джерелаHachem, Jad, I.-Hsiang Wang, Christina Fragouli, and Suhas Diggavi. "Coding with encoding uncertainty." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620231.
Повний текст джерелаЗвіти організацій з теми "Uncertainty (Information theory)"
Sentz, Kari. Uncertainty-Based Information Theory for Heterogenous Data Fusion. Office of Scientific and Technical Information (OSTI), May 2024. http://dx.doi.org/10.2172/2350592.
Повний текст джерелаJ. Lucero, F. Hemez, T. Ross, K.Kline, J.Hundhausen, and T. Tippetts. Uncertainty Quantification of Composite Laminate Damage with the Generalized Information Theory. Office of Scientific and Technical Information (OSTI), May 2006. http://dx.doi.org/10.2172/884685.
Повний текст джерелаZio, Enrico, and Nicola Pedroni. Literature review of methods for representing uncertainty. Fondation pour une culture de sécurité industrielle, December 2013. http://dx.doi.org/10.57071/124ure.
Повний текст джерелаZilberman, David, Amir Heiman, and B. McWilliams. Economics of Marketing and Diffusion of Agricultural Inputs. United States Department of Agriculture, November 2003. http://dx.doi.org/10.32747/2003.7586469.bard.
Повний текст джерелаGolan, Amos. Information-Theoretic Modeling and Inference: Theory and Practice. Instats Inc., 2023. http://dx.doi.org/10.61700/f5yykdaqso4bf469.
Повний текст джерелаMarold, Juliane, Ruth Wagner, Markus Schöbel, and Dietrich Manzey. Decision-making in groups under uncertainty. Fondation pour une culture de sécurité industrielle, February 2012. http://dx.doi.org/10.57071/361udm.
Повний текст джерелаKucherova, Hanna, Anastasiia Didenko, Olena Kravets, Yuliia Honcharenko, and Aleksandr Uchitel. Scenario forecasting information transparency of subjects' under uncertainty and development of the knowledge economy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4469.
Повний текст джерелаSoloviev, V. N., and Y. V. Romanenko. Economic analog of Heisenberg uncertainly principle and financial crisis. ESC "IASA" NTUU "Igor Sikorsky Kyiv Polytechnic Institute", May 2017. http://dx.doi.org/10.31812/0564/2463.
Повний текст джерелаSchultz, Martin, Leslie Campbell, Ramsay Bell, and Phillip Sauser. A study of phased-array ultrasonic testing (PAUT) for detecting, sizing, and characterizing flaws in the welds of existing hydraulic steel structures (HSS). Engineer Research and Development Center (U.S.), July 2024. http://dx.doi.org/10.21079/11681/48750.
Повний текст джерелаSchultz, Martin, Leslie Campbell, Ramsay Bell, and Phillip Sauser. A study of phased-array ultrasonic testing (PAUT) for detecting, sizing, and characterizing flaws in the welds of existing hydraulic steel structures (HSS). Engineer Research and Development Center (U.S.), June 2024. http://dx.doi.org/10.21079/11681/48735.
Повний текст джерела