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Measuring Probabilistic Reasoning: The Construction of a New Scale Applying Item Response Theory [PDF]
Journal of Behavioral Decision Making, 2017 AbstractProbabilistic reasoning skills are important in various contexts. The aim of the present study was to develop a new instrument (the Probabilistic Reasoning Scale – PRS) to accurately measure low levels of probabilistic reasoning ability in order to identify people with difficulties in this domain.
Caterina Primi +2 more
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Frontiers in Psychology, 2023 IntroductionCommon prosperity is a major research project in China, and the scientific measurement and evaluation of common prosperity is very important.MethodsIn this study, firstly, we construct a comprehensive evaluation index system for the common ...
Erhua Zhang +5 more
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A new non-probabilistic divergence measure of fuzzy matrix and its applications [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 Uncertainties and fuzziness are basic phenomena in human thinking and in many real-world objectives. In the existing literature of information theory various divergence measures are available for studying such phenomena in accordance to their ethos. In
Omdutt Sharma +2 more
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Research on decision method based on probability hesitation fuzzy comprehensive distance measure
Xibei Gongye Daxue Xuebao, 2023 Aiming at the defects of the existing probabilistic hesitation fuzzy distance measures, which require the number of membership degree to be consistent and the order to be rearranged, a probabilistic hesitation fuzzy multi-attribute decision making method
LIU Ying, GUAN Xin, WU Bin
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Applied Measure Theory for Probabilistic Modeling
JuliaCon Proceedings, 2022 Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates recent developments. The goal of MeasureTheory.jl is to provide Julia with the right vocabulary and tools for these tasks.
Chad Scherrer, Moritz Schauer
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Genetic Algorithm Based on a New Similarity for Probabilistic Transformation of Belief Functions
Entropy, 2022 Recent studies of alternative probabilistic transformation (PT) in Dempster–Shafer (DS) theory have mainly focused on investigating various schemes for assigning the mass of compound focal elements to each singleton in order to obtain a Bayesian belief ...
Yilin Dong, Lei Cao, Kezhu Zuo
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Coalgebraic Trace Semantics for Continuous Probabilistic Transition Systems [PDF]
Logical Methods in Computer Science, 2013 Coalgebras in a Kleisli category yield a generic definition of trace semantics for various types of labelled transition systems. In this paper we apply this generic theory to generative probabilistic transition systems, short PTS, with arbitrary ...
Henning Kerstan, Barbara König
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Mathematics, 2022 Game theory is a powerful tool in modeling strategic interaction among rational players. However, as practical problems become more complex, uncertainty inevitably appears in the game.
Shuying Li, Guoping Tu
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Distinguishability measures and entropies for general probabilistic theories [PDF]
Reports on Mathematical Physics, 2010 As a part of the construction of an information theory based on general probabilistic theories, we propose and investigate the several distinguishability measures and "entropies" in general probabilistic theories. As their applications, no-cloning theorems, information-disturbance theorems are reformulated, and a bound of the accessible informations is
Kimura, Gen, Nuida, Koji, Imai, Hideki
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The Probabilistic Risk Measure VaR as Constraint in Portfolio Optimization Problem
Cybernetics and Information Technologies, 2021 The paper realizes inclusion of probabilistic measure for risk, VaR (Value at Risk), into a portfolio optimization problem. The formal analysis of the portfolio problem illustrates the evolution of the portfolio theory in sequentially inclusion of ...
Stoilov Todor +2 more
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