Academic literature on the topic 'Generalized Aggregated Uncertainty measure'

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Journal articles on the topic "Generalized Aggregated Uncertainty measure"

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KHODABANDEH, MAHDI, and ALIREZA MOHAMMAD-SHAHRI. "TWO GENERALIZATIONS OF AGGREGATED UNCERTAINTY MEASURE FOR EVALUATION OF DEZERT–SMARANDACHE THEORY." International Journal of Information Technology & Decision Making 11, no. 01 (2012): 119–42. http://dx.doi.org/10.1142/s021962201250006x.

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Generality of the model which is used in Dezert–Smarandache Theory (DSmT) rather than other fusion algorithms such as Dempster–Shafer theory and capability of DSmT for dealing with highly conflict problems are two main reasons to prefer DSmT for decision-making systems. Aggregated uncertainty measure, which is called AU measure, has been introduced for Dempster–Shafer theory as one of the best presented ways to quantify the total uncertainty or the ambiguity of a belief function. Since AU cannot be applied to DSmT, two generalized aggregated uncertainty measures for DSmT, which are called GAU1
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Khodabandeh, M., and A. Mohammad-Shahri. "Uncertainty evaluation for an ultrasonic data fusion based target differentiation problem using Generalized Aggregated Uncertainty measure 2." Measurement 59 (January 2015): 139–44. http://dx.doi.org/10.1016/j.measurement.2014.09.036.

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Novak, Rok, David Kocman, Johanna Amalia Robinson, Tjaša Kanduč, Dimosthenis Sarigiannis, and Milena Horvat. "Comparing Airborne Particulate Matter Intake Dose Assessment Models Using Low-Cost Portable Sensor Data." Sensors 20, no. 5 (2020): 1406. http://dx.doi.org/10.3390/s20051406.

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Low-cost sensors can be used to improve the temporal and spatial resolution of an individual’s particulate matter (PM) intake dose assessment. In this work, personal activity monitors were used to measure heart rate (proxy for minute ventilation), and low-cost PM sensors were used to measure concentrations of PM. Intake dose was assessed as a product of PM concentration and minute ventilation, using four models with increasing complexity. The two models that use heart rate as a variable had the most consistent results and showed a good response to variations in PM concentrations and heart rate
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Csató, László. "Some Impossibilities of Ranking in Generalized Tournaments." International Game Theory Review 21, no. 01 (2019): 1940002. http://dx.doi.org/10.1142/s0219198919400024.

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In a generalized tournament, players may have an arbitrary number of matches against each other and the outcome of the games is measured on a cardinal scale with lower and upper bounds. An axiomatic approach is applied to the problem of ranking the competitors. Self-consistency (SC) requires assigning the same rank for players with equivalent results, while a player showing an obviously better performance than another should be ranked strictly higher. According to order preservation (OP), if two players have the same pairwise ranking in two tournaments where the same players have played the sa
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Dang, Van Dan, and Hoang Chung Nguyen. "Bank asset allocation and finance structure under uncertainty in Vietnam." Managerial Finance 48, no. 3 (2021): 500–520. http://dx.doi.org/10.1108/mf-09-2021-0408.

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PurposeThe paper investigates the link between uncertainty and banks' balance sheet reactions.Design/methodology/approachThe study employs bank-level data in Vietnam during 2007–2019 to measure micro uncertainty in banking through the dispersion of bank-level shocks. Empirical regressions are performed by the two-step system generalized method of moments (GMM) estimator and then verified using the least squares dummy variable corrected (LSDVC) technique.FindingsBanks tend to reduce risky loans, hoard more liquidity and decrease financial leverage in response to higher uncertainty. The relation
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Demirel, Mehmet, Julian Koch, Gorka Mendiguren, and Simon Stisen. "Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model." Water 10, no. 9 (2018): 1188. http://dx.doi.org/10.3390/w10091188.

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Hydrologic models are conventionally constrained and evaluated using point measurements of streamflow, which represent an aggregated catchment measure. As a consequence of this single objective focus, model parametrization and model parameter sensitivity typically do not reflect other aspects of catchment behavior. Specifically for distributed models, the spatial pattern aspect is often overlooked. Our paper examines the utility of multiple performance measures in a spatial sensitivity analysis framework to determine the key parameters governing the spatial variability of predicted actual evap
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Mao, Qinghua, Mengxin Guo, Jian Lv, Jinjin Chen, Pengzhen Xie, and Meng Li. "A Risk Assessment Framework of Hybrid Offshore Wind–Solar PV Power Plants under a Probabilistic Linguistic Environment." Sustainability 14, no. 7 (2022): 4197. http://dx.doi.org/10.3390/su14074197.

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Hybrid offshore wind–solar PV power plants have attracted much attention in recent years due to its advantages of saving land resources, high energy efficiency, high power generation efficiency, and stable power output. However, due to the project still being in its infancy, investors will face a series of risks. Hence, a multi-criteria group decision-making framework for hybrid offshore wind–solar PV power plants risk assessment is constructed in this paper. Firstly, 19 risk indicators are identified and divided into five groups. Secondly, probabilistic linguistic term sets are then introduce
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Pang, Bo, Shulan Shi, Gang Zhao, Rong Shi, Dingzhi Peng, and Zhongfan Zhu. "Uncertainty Assessment of Urban Hydrological Modelling from a Multiple Objective Perspective." Water 12, no. 5 (2020): 1393. http://dx.doi.org/10.3390/w12051393.

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The uncertainty assessment of urban hydrological models is important for understanding the reliability of the simulated results. To satisfy the demand for urban flood management, we assessed the uncertainty of urban hydrological models from a multiple-objective perspective. A multiple-criteria decision analysis method, namely, the Generalized Likelihood Uncertainty Estimation-Technique for Order Preference by Similarity to Ideal Solution (GLUE-TOPSIS) was proposed, wherein TOPSIS was adopted to measure the likelihood within the GLUE framework. Four criteria describing different urban stormwate
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Uribe, Jorge M., and Montserrat Guillen. "Generalized Market Uncertainty Measurement in European Stock Markets in Real Time." Mathematics 8, no. 12 (2020): 2148. http://dx.doi.org/10.3390/math8122148.

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We estimate generalized market uncertainty indicators for the stock markets of eight European countries greatly affected by the recent Covid-19 crisis and the economic measures implemented for its containment and mitigation. Our statistics emphasize the difference between risk and uncertainty, in the aggregate, and provide readily and easily interpretable estimates, in real time, which are relevant for market participants and regulators. We show that generalized uncertainty in Europe was, indeed, at historically high levels in the wake of the recent public health crisis before the large interv
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Kvålseth, Tarald O. "Another Generalized Measure of Information." Perceptual and Motor Skills 85, no. 2 (1997): 464–66. http://dx.doi.org/10.2466/pms.1997.85.2.464.

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A generalization of Shannon's entropy is proposed as a measure of information (or uncertainty). Various other information measures are particular cases of this generalized measure, or family of measures. Two information measures are especially interesting since they have convenient and meaningful interpretations in probabilistic terms.
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Dissertations / Theses on the topic "Generalized Aggregated Uncertainty measure"

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El-Khatib, Mayar. "Highway Development Decision-Making Under Uncertainty: Analysis, Critique and Advancement." Thesis, 2010. http://hdl.handle.net/10012/5741.

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While decision-making under uncertainty is a major universal problem, its implications in the field of transportation systems are especially enormous; where the benefits of right decisions are tremendous, the consequences of wrong ones are potentially disastrous. In the realm of highway systems, decisions related to the highway configuration (number of lanes, right of way, etc.) need to incorporate both the traffic demand and land price uncertainties. In the literature, these uncertainties have generally been modeled using the Geometric Brownian Motion (GBM) process, which has been used extens
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Books on the topic "Generalized Aggregated Uncertainty measure"

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Tomlin, Patrick. Violence in Proportion. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780191898402.001.0001.

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Abstract Almost everyone agrees that in order to be justified, violence must be proportionate. This claim, and related claims, extends across an array of moral, political, and legal contexts—including just war, self-defence, punishment, and human rights law. This proportionality principle may seem fairly simple: in order to be justified, inflicted harm must produce enough good. But this simple idea conceals hidden philosophical depths. In this book, Patrick Tomlin uncovers, explores, and proposes solutions to several philosophically knotty problems that any account of proportionate violence wi
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Book chapters on the topic "Generalized Aggregated Uncertainty measure"

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Collins, James M., and Timothy W. Ruefli. "A Generalized Measure of State-Defined Uncertainty." In Strategic Risk. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1311-3_5.

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Mi, Ju-Sheng, Xiu-Min Li, Hui-Yin Zhao, and Tao Feng. "Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72530-5_7.

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Silan, Margherita, and Giovanna Boccuzzo. "Gender INequality Indicator for Academia (GINIA)." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.54.

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The main aim of this work consists on a methodological proposal to represent and measure gender inequality in academia, focusing on the University of Padua. In order to reach our goal, we ended up with two different and complementary tools: a system of indicators and a composite indicator, that we called Gender INequality Indicator for Academia (GINIA). Data used to build and compute GINIA in the University of Padua come both from administrative datasets and from an ad-hoc survey, whose data were adjusted by post-stratification weights. Starting from existing indexes described in the literatur
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"Appendix B: Uniqueness of the Generalized Hartley Measure in the Dempster-Shafer Theory." In Uncertainty and Information. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471755575.app2.

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Lahiri, Kajal, and Wuwei Wang. "Estimating Macroeconomic Uncertainty and Discord." In Advances in Info-Metrics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.003.0011.

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We apply generalized beta and triangular distributions to histograms from the Survey of Professional Forecasters (SPF) to estimate forecast uncertainty, shocks. and discord using an information framework, and we compare these with moment-based estimates. We find that these two approaches produce analogous results, except in cases where the underlying densities deviate significantly from normality. Even though the Shannon entropy is more inclusive of different facets of a forecast density, we find that with SPF forecasts it is largely driven by the variance of the densities. We use Jenson–Shann
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Nelson, Kenric P. "Reduced Perplexity." In Advances in Info-Metrics. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190636685.003.0012.

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This chapter introduces a simple, intuitive approach to the assessment of probabilistic inferences. The Shannon information metrics are translated to the probability domain. The translation shows that the negative logarithmic score and the geometric mean are equivalent measures of the accuracy of a probabilistic inference. The geometric mean of forecasted probabilities is thus a measure of forecast accuracy and represents the central tendency of the forecasts. The reciprocal of the geometric mean is referred to as the perplexity and defines the number of independent choices needed to resolve t
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Robbins, Blaine G., and Maria S. Grigoryeva. "Technology." In Trust and Technology in a Ubiquitous Modern Environment. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-901-9.ch008.

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The country-level determinants of generalized trust that usually command the most research are ethnic homogeneity, institutional performance, civic culture, and economic development. Despite the popularity and insight of this research, there is little quantitative empirical evidence that explores the impact of technology—a necessary and exogenous condition for many of these determinants—on generalized trust. In this chapter, technology measures from the World Bank are combined with a generalized trust measure from the World Values Survey and other country-level predictors from various data sou
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Fei, Liguo, and Yuqiang Feng. "Distance Metrics of D Numbers." In Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200694.

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Belief function has always played an indispensable role in modeling cognitive uncertainty. As an inherited version, the theory of D numbers has been proposed and developed in a more efficient and robust way. Within the framework of D number theory, two more generalized properties are extended: (1) the elements in the frame of discernment (FOD) of D numbers do not required to be mutually exclusive strictly; (2) the completeness constraint is released. The investigation shows that the distance function is very significant in measuring the difference between two D numbers, especially in informati
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"Model-based meta-analysis of adverse events in metastatic melanoma immunotherapy: The importance of quantifying heterogeneity." In Book of Abstracts - RAD 2025 Conference. RAD Centre, Niš, Serbia, 2025. https://doi.org/10.21175/rad.abstr.book.2025.7.2.

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In recent years, immune checkpoint inhibitors (ICIs) have reshaped the management of advanced melanoma, offering a substantial survival advantage over conventional therapies. However, the therapeutic benefits of ICIs are accompanied by substantial immune-related adverse events (irAEs), which may severely impact patients’ quality of life and treatment adherence. These toxicities, arising from immune system dysregulation, vary in frequency and severity across treatment types, particularly between monotherapy and combination immunotherapy. This variability underscores the need for rigorous statis
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Conference papers on the topic "Generalized Aggregated Uncertainty measure"

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Zhi Kong, Liang Wu, Liqun Gao, Lifu Wang, and Honggang Xia. "Uncertainty measure based on generalized rough sets covering." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593238.

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Walz, Nico-Philipp, and Michael Hanss. "A Generalized Influence Measure for Fuzzy Uncertainty Analysis." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.218.

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Wang, Yan. "Simulating Drift-Diffusion Processes With Generalized Interval Probability." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70699.

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The Fokker-Planck equation is widely used to describe the time evolution of stochastic systems in drift-diffusion processes. Yet, it does not differentiate two types of uncertainties: aleatory uncertainty that is inherent randomness and epistemic uncertainty due to lack of perfect knowledge. In this paper, a generalized Fokker-Planck equation based on a new generalized interval probability theory is proposed to describe drift-diffusion processes under both uncertainties, where epistemic uncertainty is modeled by the generalized interval while the aleatory one is by the probability measure. A p
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Ramadana, Yusuf, and Hendra Gunawan. "Boundedness of sublinear operator generated by Calderón-Zygmund operator on generalized weighted Morrey spaces over quasi-metric measure spaces." In INTERNATIONAL CONFERENCE ON MATHEMATICAL ANALYSIS AND ITS APPLICATIONS 2022 (IConMAA 2022): Analysis, Uncertainty, and Optimization. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0191768.

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Wang, Yan. "Solving Interval Master Equation in Simulation of Jump Processes Under Uncertainties." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12740.

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Two types of uncertainty are generally recognized in modeling and simulation, including variability caused by inherent randomness and incertitude due to the lack of perfect knowledge. Generalized interval probability is able to model both uncertainty components simultaneously, where epistemic uncertainty is quantified by the generalized interval in addition to the probabilistic measure. With the conditioning, independence, and Markovian property uniquely defined, the calculus structures in generalized interval probability resembles those in the classical probability theory. An imprecise Markov
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Xu, Cai, Yilin Zhang, Ziyu Guan, and Wei Zhao. "Trusted Multi-view Learning with Label Noise." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/582.

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Multi-view learning methods often focus on improving decision accuracy while neglecting the decision uncertainty, which significantly restricts their applications in safety-critical applications. To address this issue, researchers propose trusted multi-view methods that learn the class distribution for each instance, enabling the estimation of classification probabilities and uncertainty. However, these methods heavily rely on high-quality ground-truth labels. This motivates us to delve into a new generalized trusted multi-view learning problem: how to develop a reliable multi-view learning mo
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Navarro, Jose, Bosch Josep Lluis, Palacín María, et al. "Teamwork: Assessment of teamwork competence in higher education." In Third International Conference on Higher Education Advances. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5507.

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Teamwork is a competence highly demanded among workers and an academic field with an extensive specialized literature. Based on this knowledge that comes from the study of organizational behavior, this communication presents a model to understand teamwork in higher education settings. The theoretical model considers structural components (i.e., task interdependence and task uncertainty), processes (i.e., team development and team climate for learning) and results (i.e., team effectiveness). Moreover, an assessment tool (and attitude questionnaire with 42 items-Likert scale with a range from 1
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Keeler, Matthew, and Mark Fuge. "Fewer Triplets Than You Think: Novelty Error Converges Faster Than Triplet Violations in Ordinal Embeddings." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-116696.

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Abstract A practical and well-studied method for computing the novelty of a design is to construct an ordinal embedding via a collection of pairwise comparisons between items (called triplets), and use distances within that embedding to compute which designs are farthest from the center. Unfortunately, ordinal embedding methods can require a large number of triplets before their primary error measure — the triplet violation error — converges. But if our goal is accurate novelty estimation, is it really necessary to fully minimize all triplet violations? Can we extract useful information regard
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Reports on the topic "Generalized Aggregated Uncertainty measure"

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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/pf995j5tgu.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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Lawley, C. J. M., P. Giddy, L. Katz, et al. Canada geological map compilation. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/332596.

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The Canada Geological Map Compilation (CGMC) is a database of previously published bedrock geological maps sourced from provincial, territorial, and other geological survey organizations. The geoscientific information included within these source geological maps was standardized, translated to English, and combined to provide complete coverage of Canada and support a range of down-stream machine learning applications. Detailed lithological, mineralogical, metamorphic, lithostratigraphic, and lithodemic information was not previously available as one national-scale product. The source map data
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Saha, Amrita. The Welfare Effects of Trade Preferences Removal: Evidence for UK–India Trade. Institute of Development Studies, 2025. https://doi.org/10.19088/ids.2025.006.

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This paper examines the welfare effects of the unilateral trade preferences scheme of the Generalized System of Preferences (GSP) for United Kingdom (UK)–India trade on households in India. The design of unilateral trade preference schemes has been linked to significant uncertainty about preferential market access. And the removal of trade preferences requires adjustments raising trade costs with corresponding effects for workers in sectors reliant on exports in beneficiary countries. I investigate India’s sectoral graduations from the European Union (EU) GSP in 2014 and 2017 that were applica
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Ocampo-Gaviria, José Antonio, Roberto Steiner Sampedro, Mauricio Villamizar Villegas, et al. Report of the Board of Directors to the Congress of Colombia - March 2023. Banco de la República de Colombia, 2023. http://dx.doi.org/10.32468/inf-jun-dir-con-rep-eng.03-2023.

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Banco de la República is celebrating its 100th anniversary in 2023. This is a very significant anniversary and one that provides an opportunity to highlight the contribution the Bank has made to the country’s development. Its track record as guarantor of monetary stability has established it as the one independent state institution that generates the greatest confidence among Colombians due to its transparency, management capabilities, and effective compliance with the central banking and cultural responsibilities entrusted to it by the Constitution and the Law. On a date as important as this,
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Monetary Policy Report - January 2023. Banco de la República, 2023. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr1-2023.

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1. Macroeconomic Summary In December, headline inflation (13.1%) and the average of the core inflation measures (10.3%) continued to trend upward, posting higher rates than those estimated by the Central Bank's technical staff and surpassing the market average. Inflation expectations for all terms exceeded the 3.0% target. In that month, every major group in the Consumer Price Index (CPI) registered higher-than-estimated increases, and the diffusion indicators continued to show generalized price hikes. Accumulated exchange rate pressures on prices, indexation to high inflation rates, and sever
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