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Artículos de revistas sobre el tema "Uncertainty"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

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1

Corder, Matthew, and Martin Weale. "Uncertain Uncertainty." British Actuarial Journal 17, no. 3 (2012): 542–61. http://dx.doi.org/10.1017/s1357321712000323.

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2

Shelley, Charles J. "Uncertain about Uncertainty." Journal of Services Marketing 5, no. 4 (1991): 39–47. http://dx.doi.org/10.1108/08876049110035648.

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3

Jones, Caitlin. "Managing uncertainty, in uncertain times." InnovAiT: Education and inspiration for general practice 13, no. 10 (2020): 625. http://dx.doi.org/10.1177/1755738020937727.

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4

WONG., KAM L. "Uncertainty! Uncertainty!" Quality and Reliability Engineering International 3, no. 1 (1987): 1–2. http://dx.doi.org/10.1002/qre.4680030102.

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5

Wang, Lihui, Yufu Ning, Xiumei Chen, Shukun Chen, and Hong Huang. "Conditional Uncertainty Distribution of Two Uncertain Variables and Conditional Inverse Uncertainty Distribution." Symmetry 15, no. 8 (2023): 1592. http://dx.doi.org/10.3390/sym15081592.

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It is noted that some uncertain variables are independent while others are not. In general, there is a symmetrical relationship between independence and dependence among uncertain variables. The utilization of conditional uncertain measures as well as conditional uncertainty distributions proves highly efficacious in resolving uncertainties pertaining to an event subsequent to the acquisition of knowledge about other events. In this paper, the theorem about the conditional uncertainty distribution of two uncertain variables is proposed. It is demonstrated that the theorem holds regardless of w
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6

Ridler, Nick, Yeou-Song Lee, and David Blackham. "Feeling uncertain about uncertainty? [Member Benefits]." IEEE Microwave Magazine 9, no. 4 (2008): 132–33. http://dx.doi.org/10.1109/mmm.2008.924785.

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7

Ekman, Ulrik, Daniela Agostinho, Nanna Bonde Thylstrup, and Kristin Veel. "The uncertainty of the uncertain image." Digital Creativity 28, no. 4 (2017): 255–64. http://dx.doi.org/10.1080/14626268.2017.1391848.

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8

Johnson, Steven, and Anja Einseln. "An Uncertain Approach to Measurement Uncertainty." Forensic Science International: Synergy 1 (August 2019): S2. http://dx.doi.org/10.1016/j.fsisyn.2019.06.008.

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9

Thompson, Michael. "Editorial. Uncertainty in an uncertain world." Analyst 120, no. 9 (1995): 117N. http://dx.doi.org/10.1039/an995200117n.

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10

Kothapalli, Priya R., and Moritz C. Wyler von Ballmoos. "Uncertainty in Uncertainty." JACC: Cardiovascular Interventions 13, no. 16 (2020): 1964–65. http://dx.doi.org/10.1016/j.jcin.2020.06.046.

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11

Juanchich, Marie, Amélie Gourdon-Kanhukamwe, and Miroslav Sirota. "“I am uncertain” vs “It is uncertain”. How linguistic markers of the uncertainty source affect uncertainty communication." Judgment and Decision Making 12, no. 5 (2017): 445–65. http://dx.doi.org/10.1017/s1930297500006483.

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AbstractTwo psychological sources of uncertainty bear implications for judgment and decision-making: external uncertainty is seen as stemming from properties of the world, whereas internal uncertainty is seen as stemming from lack of knowledge. The apparent source of uncertainty can be conveyed through linguistic markers, such as the pronoun of probability phrases (e.g., I am uncertain vs. It is uncertain). Here, we investigated whether and when speakers use different pronoun subjects as such linguistic markers (Exp. 1 and 2) and what hearers infer from them (Exp. 3 and 4). Speakers more often
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12

JOHNSON, Katherine. "Uncertainty and Ignorance." International Journal of Theology, Philosophy and Science 2, no. 3 (2018): 5–12. http://dx.doi.org/10.26520/ijtps.2018.2.3.5-12.

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13

Jalaian, Brian, Michael Lee, and Stephen Russell. "Uncertain Context: Uncertainty Quantification in Machine Learning." AI Magazine 40, no. 4 (2019): 40–49. http://dx.doi.org/10.1609/aimag.v40i4.4812.

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Machine learning and artificial intelligence will be deeply embedded in the intelligent systems humans use to automate tasking, optimize planning, and support decision-making. However, many of these methods can be challenged by dynamic computational contexts, resulting in uncertainty in prediction errors and overall system outputs. Therefore, it will be increasingly important for uncertainties in underlying learning-related computer models to be quantified and communicated. The goal of this article is to provide an accessible overview of computational context and its relationship to uncertaint
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14

Hong, Sun-ha. "Affecting in Discourse: Communicating uncertainly and communicating uncertainty." Subjectivity 8, no. 3 (2015): 201–23. http://dx.doi.org/10.1057/sub.2015.9.

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15

Wan, Xiao Xia, Xin Guo Huang, and Zhen Liu. "Uncertainty Evaluation of Spectral Color Measurement." Advanced Materials Research 174 (December 2010): 36–39. http://dx.doi.org/10.4028/www.scientific.net/amr.174.36.

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Uncertainty evaluation of spectral color measurement is the best method of evaluation of color measurement result’s quality. Firstly type A and type B uncertainty of spectral reflectance are analyzed based on different uncertainty's sources, secondly uncertainty of chromaticity parameters are calculated based on spectral reflectance’s uncertainty. Lastly practicability of uncertainty evaluation of spectral color measurement is proved by experiments.
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16

Ebramzadeh, Edward. "Uncertainty in Conveying Uncertainty." Journal of Orthopaedic Trauma 36, no. 9 (2022): 427. http://dx.doi.org/10.1097/bot.0000000000002375.

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17

Osband, Kent. "Finformaics. Uncertainty about uncertainty." Wilmott 2004, no. 3 (2004): 42–45. http://dx.doi.org/10.1002/wilm.42820040311.

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18

Narasimhachar, Varun, Alireza Poostindouz, and Gilad Gour. "Uncertainty, joint uncertainty, and the quantum uncertainty principle." New Journal of Physics 18, no. 3 (2016): 033019. http://dx.doi.org/10.1088/1367-2630/18/3/033019.

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19

YOU, CUILIAN. "UNCERTAINTY EXTENSION THEOREM AND PRODUCT UNCERTAIN MEASURE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 02 (2010): 197–208. http://dx.doi.org/10.1142/s0218488510006489.

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The additivity axiom of classical measure theory has been challenged by many mathematicians. Different replacements of the additivity correspond with different theory. In uncertainty theory, the additivity is replaced with self-duality and countable subadditivity. Similar to classical measure theory, there are some properties studied in uncertainty theory. Given the measure of each singleton set, the measure can be fully and uniquely determined in the sense of the maximum uncertainty principle. Generally speaking, a product uncertain measure may be defined in many ways, in this paper, a kind o
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20

Griffin, R. L. "Uncertain about uncertainty in pest risk analysis." Acta Horticulturae, no. 1105 (December 2015): 315–20. http://dx.doi.org/10.17660/actahortic.2015.1105.45.

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21

Chen, Chongshuang, Jiayin Tang, Jianbo Xiao, and Lei Huang. "Uncertainty Distribution of Some Composite Uncertain Variables." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, no. 04 (2017): 545–55. http://dx.doi.org/10.1142/s0218488517500234.

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In this paper, we named the composition by a real-valued measurable function and an uncertain variable as a composite uncertain variable. We focused on the uncertainty distribution for two kinds of composite uncertain variables. The conclusions show: (1) it exists a lower bound when the composed function is continuous and strictly monotonically decreasing at first and then strictly monotonically increasing (e.g. convex downward functions); (2) it exists an upper bound when the composed function is continuous and strictly monotonically increasing at first and then strictly monotonically decreas
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22

Celse, Jérémy, Sylvain Max, Wolfgang Steinel, Ivan Soraperra, and Shaul Shalvi. "Uncertain lies: How payoff uncertainty affects dishonesty." Journal of Economic Psychology 71 (March 2019): 117–25. http://dx.doi.org/10.1016/j.joep.2018.09.003.

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23

Liu, Baoding. "Uncertainty distribution and independence of uncertain processes." Fuzzy Optimization and Decision Making 13, no. 3 (2014): 259–71. http://dx.doi.org/10.1007/s10700-014-9181-5.

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24

Longtin, Jon P. "The uncertainty tree: Reducing the uncertainty of uncertainty analysis." Review of Scientific Instruments 73, no. 10 (2002): 3698–700. http://dx.doi.org/10.1063/1.1505654.

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25

Chen, Xiumei, Yufu Ning, Lihui Wang, Shuai Wang, and Hong Huang. "Some Theorems for Inverse Uncertainty Distribution of Uncertain Processes." Symmetry 14, no. 1 (2021): 14. http://dx.doi.org/10.3390/sym14010014.

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In real life, indeterminacy and determinacy are symmetric, while indeterminacy is absolute. We are devoted to studying indeterminacy through uncertainty theory. Within the framework of uncertainty theory, uncertain processes are used to model the evolution of uncertain phenomena. The uncertainty distribution and inverse uncertainty distribution of uncertain processes are important tools to describe uncertain processes. An independent increment process is a special uncertain process with independent increments. An important conjecture about inverse uncertainty distribution of an independent inc
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26

Zhukovskiy, V., and L. Smirnova. "UNCERTAINTY AND DISCRETE MAXIMIN." TAURIDA JOURNAL OF COMPUTER SCIENCE THEORY AND MATHEMATICS, no. 1 (November 25, 2022): 7–31. http://dx.doi.org/10.29039/1729-3901-2021-20-1-7-31.

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The article consists of two parts. The first part is devoted to general questions that are related to uncertainty: causes and sources of uncertainties appearance, classification of uncertainties in economic systems and approach to their assessment. In the second part the concept of maximin, based on the principle of guaranteed result (Wald’s principle) is considered. In this case, maximin is interpreted from viewpoint of two-level hierarchical game. On the basis of the maximin concept, a guaranteed solution in outcomes for K-stage positional single-criterion linear quadratic problem under uncert
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27

Savkin, Andrey V., and Ian R. Petersen. "An uncertainty averaging approach to optimal guaranteed cost control of uncertain systems with structured uncertainty." Automatica 31, no. 11 (1995): 1649–53. http://dx.doi.org/10.1016/0005-1098(95)00080-g.

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28

Weinfurt, Kevin P. "Some uncertainty regarding uncertainty reduction." Journal of Theoretical and Philosophical Psychology 14, no. 2 (1994): 193–99. http://dx.doi.org/10.1037/h0091362.

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29

Qing Yin, Wang, Ren Biao, and Wang FengLi. "Uncertainty information and uncertainty systems." Kybernetes 29, no. 9/10 (2000): 1223–33. http://dx.doi.org/10.1108/03684920010346266.

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30

Uffink, J. B. M., and J. Hilgevoord. "Uncertainty principle and uncertainty relations." Foundations of Physics 15, no. 9 (1985): 925–44. http://dx.doi.org/10.1007/bf00739034.

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31

James, Kevin R., and David R. Dowling. "Efficient acoustic uncertainty estimation for uncertain source depth." Journal of the Acoustical Society of America 130, no. 4 (2011): 2455. http://dx.doi.org/10.1121/1.3654865.

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32

Talmud, Jonathan, and Rory Spiegel. "Uncertainty in the Management of Uncertain Head Trauma." Annals of Emergency Medicine 83, no. 1 (2024): 81–82. http://dx.doi.org/10.1016/j.annemergmed.2023.11.015.

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33

Cecinati, Francesca, Antonio Moreno-Ródenas, Miguel Rico-Ramirez, Marie-claire ten Veldhuis, and Jeroen Langeveld. "Considering Rain Gauge Uncertainty Using Kriging for Uncertain Data." Atmosphere 9, no. 11 (2018): 446. http://dx.doi.org/10.3390/atmos9110446.

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In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty. To reach sufficient spatial coverage and resolution, the integration of several rainfall data sources, including rain gauges and weather radars, is often necessary. The uncertainty associated with rain gauge measurements is dependent on rainfall intensity and on the characteristics of the devices. Common spatial interpolation methods do not account for rain gauge uncertainty variability. Kriging for Uncertain Data (KUD) allows the handling of the uncertainty of each rain gauge independently, mo
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34

Bélyácz, Iván, and Katalin Daubner. "Uncertainity of risk and increasing risk of uncertainty in business decisions." Economy & finance 8, no. 3 (2021): 264–312. http://dx.doi.org/10.33908/ef.2021.3.2.

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Our paper follows the development of theory regarding the position of risk and uncertainty in economics from the publication of works by Knight (1921) and Keynes (1921) until the recent past. The starting point is presented by the relevant remarks of the thinkers of classical economics. Next, we describe the turning point related to Knight and Keynes and reveal the theoretical roots of risk taking. In the core chapter of the paper the authors make an attempt to re-interpret “animal spirits” as the intention for risk taking. A separate chapter is devoted to the relationship of rational choice a
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35

Stefopoulos, Georgios, Stylianos Rigas, Panagiotis Tsirikoglou, and Anestis I. Kalfas. "Evaluation of pressure and species concentration measurement using uncertainty propagation." E3S Web of Conferences 345 (2022): 02008. http://dx.doi.org/10.1051/e3sconf/202234502008.

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This paper presents a probabilistic uncertainity evaluation method as described in the Guide to the Expression of Uncertainty in Measurements (GUM) and its application to probe measurements on pressure and fuel concentration. All sources of unceratinties are expressed as probability distributions. Consequently, the overall standard uncertainty of the quantity can be calculated using the Gaussian error propagation formula. The result of the uncertainty evaluation yields the most probable value of the measurand and describes its distribution in terms of rectangular (standard uncertainty) or gaus
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36

De Cremer, David, Lieven Brebels, and Constantine Sedikides. "Being uncertain about what? Procedural fairness effects as a function of general uncertainty and belongingness uncertainty." Journal of Experimental Social Psychology 44, no. 6 (2008): 1520–25. http://dx.doi.org/10.1016/j.jesp.2008.07.010.

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37

Chae, Sung Y. "Uncertainty." Family Medicine 53, no. 2 (2021): 152. http://dx.doi.org/10.22454/fammed.2021.350758.

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38

Palumbo-Liu, David. "Uncertainty." English Language Notes 47, no. 1 (2009): 81–90. http://dx.doi.org/10.1215/00138282-47.1.81.

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39

Mishel, Merle H., and Carrie Jo Braden. "Uncertainty." Western Journal of Nursing Research 9, no. 1 (1987): 43–57. http://dx.doi.org/10.1177/019394598700900106.

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40

Hanauer, Stephen B. "Uncertainty." Nature Clinical Practice Gastroenterology & Hepatology 4, no. 5 (2007): 235. http://dx.doi.org/10.1038/ncpgasthep0795.

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41

Mulcahy, Helen, and Eileen Savage. "Uncertainty." Journal of Child Health Care 20, no. 3 (2016): 333–43. http://dx.doi.org/10.1177/1367493515587059.

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42

Ziegel, Eric R. "Uncertainty." Technometrics 37, no. 2 (1995): 237–38. http://dx.doi.org/10.1080/00401706.1995.10484322.

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43

Refractor. "Uncertainty." Lancet 358, no. 9298 (2001): 2090. http://dx.doi.org/10.1016/s0140-6736(01)07086-6.

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44

Grimes, David A. "Uncertainty." Lancet 360, no. 9341 (2002): 1242. http://dx.doi.org/10.1016/s0140-6736(02)11275-x.

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45

Denning, Peter J., and Ted G. Lewis. "Uncertainty." Communications of the ACM 62, no. 12 (2019): 26–28. http://dx.doi.org/10.1145/3368093.

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46

Newton, Cheryl, and Magdalena A. Mateo. "Uncertainty." Cancer Nursing 17, no. 2 (1994): 137???140. http://dx.doi.org/10.1097/00002820-199404000-00007.

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47

Amram, Martha, and Nalin Kulatilaka. "UNCERTAINTY:." Journal of Business Strategy 20, no. 3 (1999): 25–29. http://dx.doi.org/10.1108/eb040003.

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48

Fryer, Madeline L. "Uncertainty." JAMA Cardiology 3, no. 10 (2018): 915. http://dx.doi.org/10.1001/jamacardio.2018.1925.

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49

Martin-Du-Pan, Rémy C. "Uncertainty." Revue Médicale Suisse 5, no. 207 (2009): 1340a. http://dx.doi.org/10.53738/revmed.2009.5.207.1340a.

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50

Kaber, Judy. "Uncertainty." Prairie Schooner 97, no. 1 (2023): 114–15. http://dx.doi.org/10.1353/psg.2023.a920311.

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