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Journal articles on the topic 'Averaging rule'

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Published: 2 June 2025

Last updated: 31 July 2025

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1

Alpert, Sofiia. "Analysis of “mixing” combination rules and Smet’s combination rule." Ukrainian journal of remote sensing, no. 23 (December 28, 2019): 4–8. http://dx.doi.org/10.36023/ujrs.2019.23.158.

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The process of solution of different practical and ecological problems, using hyperspectral satellite images usually includes a procedure of classification. Classification is one of the most difficult and important procedures. Some image classification methods were considered and analyzed in this work. These methods are based on the theory of evidence. Evidence theory can simulate uncertainty and process imprecise and incomplete information. It were considered such combination rules in this paper: “mixing” combination rule (or averaging), convolutive x-averaging (or c-averaging) and Smet’s com

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Abdurrouf. "The rule of radius averaging in hydrogen atom." IOP Conference Series: Materials Science and Engineering 546 (June 26, 2019): 052002. http://dx.doi.org/10.1088/1757-899x/546/5/052002.

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Devenport, Lynn, Tanya Hill, Margaret Wilson, and Eve Ogden. "Tracking and averaging in variable environments: A transition rule." Journal of Experimental Psychology: Animal Behavior Processes 23, no. 4 (1997): 450–60. http://dx.doi.org/10.1037/0097-7403.23.4.450.

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Funke, B., and T. von Clarmann. "How to average logarithmic retrievals." Atmospheric Measurement Techniques Discussions 4, no. 6 (2011): 7159–83. http://dx.doi.org/10.5194/amtd-4-7159-2011.

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Abstract. Calculation of mean trace gas contributions from profiles obtained by retrievals of the logarithm of the abundance rather than retrievals of the abundance itself are prone to biases. By means of a system simulator, biases of linear versus logarithmic averaging were evaluated for both maximum likelihood and maximum a priori retrievals, for various signal to noise ratios and atmospheric variabilities. These biases can easily reach several ten percent. As a rule of thumb we found for maximum likelihood retrievals that linear averaging better represents the true mean value in cases of la

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Funke, B., and T. von Clarmann. "How to average logarithmic retrievals?" Atmospheric Measurement Techniques 5, no. 4 (2012): 831–41. http://dx.doi.org/10.5194/amt-5-831-2012.

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Abstract. Calculation of mean trace gas contributions from profiles obtained by retrievals of the logarithm of the abundance rather than retrievals of the abundance itself are prone to biases. By means of a system simulator, biases of linear versus logarithmic averaging were evaluated for both maximum likelihood and maximum a priori retrievals, for various signal to noise ratios and atmospheric variabilities. These biases can easily reach ten percent or more. As a rule of thumb we found for maximum likelihood retrievals that linear averaging better represents the true mean value in cases of la

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Kaplan, David, and Chansoon Lee. "Optimizing Prediction Using Bayesian Model Averaging: Examples Using Large-Scale Educational Assessments." Evaluation Review 42, no. 4 (2018): 423–57. http://dx.doi.org/10.1177/0193841x18761421.

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This article provides a review of Bayesian model averaging as a means of optimizing the predictive performance of common statistical models applied to large-scale educational assessments. The Bayesian framework recognizes that in addition to parameter uncertainty, there is uncertainty in the choice of models themselves. A Bayesian approach to addressing the problem of model uncertainty is the method of Bayesian model averaging. Bayesian model averaging searches the space of possible models for a set of submodels that satisfy certain scientific principles and then averages the coefficients acro

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Vera Cruz, Germano. "Comparing Mozambican and French People’s Conceptualization of Romantic Love." Universitas Psychologica 18, no. 1 (2019): 1–7. http://dx.doi.org/10.11144/javeriana.upsy18-1.cmfp.

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The study compared the way Mozambican and French people conceptualize romantic love. Two subsamples of 238 Mozambican adults and 250 French adults were presented with 27 cards containing vignettes (scenarios) that described the characteristics of someone’s relationship regarding degree of passion, the degree of intimacy, and degree of commitment. Participants assessed the intensity of romantic love experienced by the characters in the scenarios using a continuous scale. The way people from both cultures conceptualized romantic love was not entirely similar, but the differences were very subtle

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Fan, Wentao, and Fuyuan Xiao. "A New Conflict Management in Evidence Theory Based on DEMATEL Method." Journal of Sensors 2019 (November 19, 2019): 1–12. http://dx.doi.org/10.1155/2019/7145373.

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D-S evidence theory is widely used in data fusion. However, the result of Dempster’s combination rule is not efficient and in highly conflicting situation. Though the existing methods have been proved efficient to deal with conflict in some applications, the indirect conflict among evidence is neglected to some degree. To solve this problem, a new method is proposed based on decision-making trial and evaluation laboratory (DEMATEL) and the belief correlation coefficient in this paper. The application in target recognition illustrates the efficiency of the proposed method. Compared with Dempste

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Lettau, Martin, and Harald Uhlig. "Rules of Thumb versus Dynamic Programming." American Economic Review 89, no. 1 (1999): 148–74. http://dx.doi.org/10.1257/aer.89.1.148.

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This paper studies decision-making with rules of thumb in the context of dynamic decision problems and compares it to dynamic programming. A rule is a fixed mapping from a subset of states into actions. Rules are compared by averaging over past experiences. This can lead to favoring rules which are only applicable in good states. Correcting this good state bias requires solving the dynamic program. We provide a general framework and characterize the asymptotic properties. We apply it to provide a candidate explanation for the sensitivity of consumption to transitory income. (JEL E00, C63, C61,

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Takada, Teruko, and Takahiro Kitajima. "Trend-following with better adaptation to large downside risks." PLOS ONE 17, no. 10 (2022): e0276322. http://dx.doi.org/10.1371/journal.pone.0276322.

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Avoiding losses from long-term trend reversals is challenging, and trend-following is one of the few trading approaches to explore it. While trend-following is popular among investors and has gained increased attention in academia, the recent diminished profitability in equity markets casts doubt on its effectiveness. To clarify its cause and suggest remedies, we thoroughly examine the effect of market conditions and averaging window on recent profitability using four major stock indices in an out-of-sample experiment comparing trend-following rules (moving average and momentum) and a machine-

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Wirth, Trenton D., and William H. Warren. "Collective Decision Making in Human Crowds: Majority Rule Emerges From Local Averaging." Journal of Vision 19, no. 10 (2019): 52a. http://dx.doi.org/10.1167/19.10.52a.

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Cammack, P., and J. M. Harris. "Depth perception in disparity-defined objects: finding the balance between averaging and segregation." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (2016): 20150258. http://dx.doi.org/10.1098/rstb.2015.0258.

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Deciding what constitutes an object, and what background, is an essential task for the visual system. This presents a conundrum: averaging over the visual scene is required to obtain a precise signal for object segregation, but segregation is required to define the region over which averaging should take place. Depth, obtained via binocular disparity (the differences between two eyes’ views), could help with segregation by enabling identification of object and background via differences in depth. Here, we explore depth perception in disparity-defined objects. We show that a simple object segre

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13

Robinson, P. John, and P. Wilson Arul Prakash. "Application of Improved Class of Weighted Averaging Operators in Intuitionistic Fuzzy Ann Guided MAGDM E-Commerce Problems." Indian Journal Of Science And Technology 17, no. 29 (2024): 3026–36. http://dx.doi.org/10.17485/ijst/v17i29.1872.

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Objectives: To propose a novel and improvised Artificial Neural Network (ANN) technique to solve Multiple Attribute Group Decision Making (MAGDM) problems and an improved class of Aggregation operators for combining Intuitionistic Fuzzy Set (IFS) matrices for the ANN algorithm. Methods: A novel class of improved aggregation operators namely the Improved Intuitionistic Fuzzy Weighted Arithmetic Averaging (IM-IFWAA) operator and the Improved Intuitionistic Fuzzy Ordered Weighted Averaging (IM-IFOWA) operator are proposed in this work. The proposed improved class of aggregation operators will agg

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14

Zhao, Lixin, and Hui Jin. "IDEINFO: An Improved Vector-Weighted Optimization Algorithm." Applied Sciences 13, no. 4 (2023): 2336. http://dx.doi.org/10.3390/app13042336.

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This study proposes an improved vector-weighted averaging algorithm (IDEINFO) for the optimization of different problems. The original vector-weighted optimization algorithm (INFO) uses weighted averaging for entity structures and uses three core procedures to update the positions of the vectors. First, the update rule phase is based on the law of averaging and convergence acceleration to generate new vectors. Second, the vector combination phase combines the obtained vectors with the update rules to achieve a promising solution. Third, the local search phase helps the algorithm eliminate low-

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Seta, John J., Ashleigh Haire, and Catherine E. Seta. "Choices and affective reactions to negative life events: An averaging/summation analysis." Judgment and Decision Making 3, no. 5 (2008): 425–34. http://dx.doi.org/10.1017/s1930297500000450.

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AbstractThree experiments investigated individuals’ preferences and affective reactions to negative life experiences. Participants had a more intense negative affective reaction when they were exposed to a highly negative life experience than when they were exposed to two negative events: a highly negative and a mildly negative life event. Participants also chose the situation containing two versus one negative event. Thus, “more negative events were better” when the events had different affective intensities. When participants were exposed to events having similar affective intensities, howev

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HU, YI-CHUNG, and JUNG-FA TSAI. "FUSING FUZZY ASSOCIATION RULE-BASED CLASSIFIERS USING SUGENO INTEGRAL WITH ORDERED WEIGHTED AVERAGING OPERATORS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, no. 06 (2007): 717–35. http://dx.doi.org/10.1142/s0218488507004960.

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The time or space complexity may considerably increase for a single classifier if all features are taken into account. Thus, it is reasonable to train a single classifier by partial features. Then, a set of multiple classifiers can be generated, and an aggregation of outputs from different classifiers is subsequently performed. The aim of this paper is to propose a classification system with a heuristic fusion scheme in which multiple fuzzy association rule-based classifiers with partial features are combined, and show the feasibility and effectiveness of fusing multiple classifiers through th

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Yoshimura, Masato, Nai-Chi Chen, Hong-Hsiang Guan, et al. "Ab initiophasing by molecular averaging in real space with new criteria: application to structure determination of a betanodavirus." Acta Crystallographica Section D Structural Biology 72, no. 7 (2016): 830–40. http://dx.doi.org/10.1107/s2059798316007695.

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Molecular averaging, including noncrystallographic symmetry (NCS) averaging, is a powerful method forab initiophase determination and phase improvement. Applications of the cross-crystal averaging (CCA) method have been shown to be effective for phase improvement after initial phasing by molecular replacement, isomorphous replacement, anomalous dispersion or combinations of these methods. Here, a two-step process for phase determination in the X-ray structural analysis of a new coat protein from a betanodavirus,Grouper nervous necrosis virus, is described in detail. The first step isab initios

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Dogra, Ayush, Bhawna Goyal, and Sunil Agrawal. "Bone vessel image fusion via generalized reisz wavelet transform using averaging fusion rule." Journal of Computational Science 21 (July 2017): 371–78. http://dx.doi.org/10.1016/j.jocs.2016.10.009.

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Yanchukovich, A., A. Ahola, T. Björk, and C. M. Sonsino. "Comparison of analytical and numerical methods for estimating notch strains**." Materialwissenschaft und Werkstofftechnik 55, no. 6 (2024): 719–32. http://dx.doi.org/10.1002/mawe.202300095.

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AbstractIn fatigue assessments, local strains and stresses can be easily evaluated using accurate finite element analysis in a case of an individual fatigue‐critical notch or structural detail. In practical design and analysis of global models, the consideration of local notch effects using suitable estimation rules in the combination with linear elastic analysis is reasonable. Various notch rules exist but the current knowledge lacks understanding how applicable different notch rules are for estimating notch strains from elastic stresses. This work studies the Neuber′s rules for sharp and mil

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20

Hancock, Thomas O., and Stephane Hess. "What is really uncovered by mixing different model structures: contrasts between latent class and model averaging." European Journal of Transport and Infrastructure Research 21, no. 3 (2021): 38–63. http://dx.doi.org/10.18757/ejtir.2021.21.3.3949.

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Latent class models have long been a tool for capturing heterogeneity across decisionmakers in the sensitivities to individual attributes. More recently, there has been increased interest in using these models to capture heterogeneity in actual behavioural processes, such as information/attribute processing and decision rules. This often leads to substantial improvement in model fit and the apparent finding of large clusters of individuals making choices in ways that are substantially different from those used by others. Such findings have however not been without criticism given the potential

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Appleby, Peter A., and Terry Elliott. "Synaptic and Temporal Ensemble Interpretation of Spike-Timing-Dependent Plasticity." Neural Computation 17, no. 11 (2005): 2316–36. http://dx.doi.org/10.1162/0899766054796879.

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We postulate that a simple, three-state synaptic switch governs changes in synaptic strength at individual synapses. Under this switch rule, we show that a variety of experimental results on timing-dependent plasticity can emerge from temporal and spatial averaging over multiple synapses and multiple spike pairings. In particular, we show that a critical window for the interaction of pre- and postsynaptic spikes emerges as an ensemble property of the collective system, with individual synapses exhibiting only a minimal form of spike coincidence detection. In addition, we show that a Bienenstoc

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Fujita, Kosuke, and Hideaki Touyama. "Majority Rule Using Collaborative P300 by Auditory Stimulation." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 7 (2017): 1312–20. http://dx.doi.org/10.20965/jaciii.2017.p1312.

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In this study, a new method to realize majority rule is presented by using noninvasive brain activities. With the majority rule based on an electroencephalogram (EEG), a technique to determine the attention of multiple users is proposed. In general, a single-shot EEG ensures short-time response, but it is inevitably deteriorated by artifacts. To enhance the accuracy of the majority rule, the collaborative signals of P300 evoked potentials are focused. The collaborative P300 signal is prepared by averaging individual single-shot P300 signals among subjects. In experiments, the EEG signals of tw

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Trofymchuk, Olena, Eduardo Liz, and Sergei Trofimchuk. "The peak-end rule and its dynamic realization through differential equations with maxima ^*." Nonlinearity 36, no. 1 (2022): 507–36. http://dx.doi.org/10.1088/1361-6544/aca50d.

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Abstract In the 1990s, after a series of experiments, the behavioural psychologist and economist Daniel Kahneman and his colleagues formulated the following peak-end evaluation rule: the remembered utility of pleasant or unpleasant episodes is accurately predicted by averaging the peak (most intense value) of instant utility (or disutility) recorded during an episode and the instant utility recorded near the end of the experience (Kahneman et al 1997 Q. J. Econ. 112 375–405). Based on this rule, we propose a mathematical model for the time evolution of the experienced utility function u = u (

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Congregado, Emilio, Ana Rodriguez-Santiago, and Concepción Román. "Is employment protection legislation a driver or an inhibitor of entrepreneurship? The interaction between stringency and enforcement." International Journal of Manpower 45, no. 10 (2024): 115–43. http://dx.doi.org/10.1108/ijm-11-2023-0705.

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PurposeThis study aims to revisit the relationship between the stringency of employment protection legislation and entrepreneurship at the macro-level using time series data from 28 OECD countries.Design/methodology/approachTo address model uncertainty, a Bayesian model averaging methodology is employed, overcoming issues related to predictor selection. Additionally, the study delves into the interaction between employment protection legislation and the rule of law, considering potential unintended consequences and overlapping effects. Heterogeneity within self-employment is explored, making a

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Wang, Jialuo, Weihan Wang, and Fan Yang. "A multi-factor quantitative model based on weighted SIR-SAVE and model averaging." Highlights in Science, Engineering and Technology 72 (December 15, 2023): 1162–71. http://dx.doi.org/10.54097/htpfsm07.

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In financial quantitative research, there are many kinds of predictors that are closely related to stock prices, so how to design effective machine learning algorithms for such high-dimensional prediction problems is a hot issue. Based on this, this paper proposes a stock factor quantization and prediction model based on the idea of sufficient dimensionality reduction and model averaging. The proposed method is based on the principle of conditional independence, which can greatly retain the validity of the predictors on the stock price while solving the dimensionality catastrophe problem. In a

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Dagorn, Laurent, and Pierre Fréon. "Article." Canadian Journal of Fisheries and Aquatic Sciences 56, no. 6 (1999): 984–93. http://dx.doi.org/10.1139/f98-209.

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Among the different assumptions proposed to explain why tropical tuna aggregate around floating objects ("logs"), one of the most recent is that floating objects may represent meeting points for tuna. This "meeting point hypothesis" proposes that tuna can use these floating objects to form larger schools after school fission or dispersion. The influence of meeting points on tuna school sizes is explored through different individual-based models that consider a single fusion rule and a variety of fission rules based on energetic considerations, the role of school size on school cohesion, predat

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Masike, Lebogang, Michael Njoroge Gitau, and Grain P. Adam. "A Unified Rule-Based Small-Signal Modelling Technique for Two-Switch, Non-Isolated DC–DC Converters in CCM." Energies 15, no. 15 (2022): 5454. http://dx.doi.org/10.3390/en15155454.

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The inherent non-linear behavior of switch-mode power supplies complicates the task of computing their linear models, which are essential for a model-oriented control design of DC–DC converters. In a model-oriented control design approach, the accuracy of the plant model directly influences the performance of the control system as the plant parameters tend to be linked to the controllers’ gains. Moreover, the extractions of linear dynamic models of high-order non-linear plants such as DC–DC converters are laborious and mathematically intractable. Therefore, in this paper, a generalized express

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Kopec, Matthew. "WE OUGHT TO AGREE: A CONSEQUENCE OF REPAIRING GOLDMAN'S GROUP SCORING RULE." Episteme 9, no. 2 (2012): 101–14. http://dx.doi.org/10.1017/epi.2012.3.

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AbstractInKnowledge in a Social World, Alvin Goldman presents a framework to quantify the epistemic effects that various policies, procedures, and behaviors can have on a group of agents. In this essay, I show that the framework requires some modifications when applied to agents with credences. The required modifications carry with them an interesting consequence, namely, that any group whose members disagree can become more accurate by forming a consensus through averaging their credences. I sketch a way that this result can be used to show that individual norms of rationality and group norms

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Davis, J. D. "Deterministic and probabilistic control of the behavior of rats ingesting liquid diets." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 270, no. 4 (1996): R793—R800. http://dx.doi.org/10.1152/ajpregu.1996.270.4.r793.

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The probability distributions of bouts of licking and pauses between them in rats ingesting sucrose solutions were studied to determine if the durations of these ingestive and noningestive acts were controlled by a deterministic or probabilistic decision rule in the central nervous system. The duration of the bouts of licking could be modeled by a Poisson process, indicating that these bouts were terminated by a probabilistic rule. Three different types of pauses terminated the bouts of licking. Each averaged 0.3, 1.5, or 50-60 s in duration. The two longer pauses could be modeled by a Poisson

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Wan, Zhaohe, Minghua Shi, Feng Yang, and Guang Zhu. "A Novel Pythagorean Group Decision-Making Method Based on Evidence Theory and Interactive Power Averaging Operator." Complexity 2021 (August 20, 2021): 1–13. http://dx.doi.org/10.1155/2021/9964422.

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Since Pythagorean fuzzy sets can better reflect the cognition of the decision objects for experts, researchers have begun to pay increasingly more attention to them in recent years. The majority of the research on Pythagorean fuzzy environment assumes that the decision maker is completely rational and does not consider the correlation among the attribute variables. In view of the above, this paper proposes a method to solve the multiple attribute group decision-making problem based on D-S theory and interactive power averaging operator. First, the new Pythagorean fuzzy interactive weighted pow

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Wang Xiao-Song and Zhu Ru-Zeng. "Generalization of Berthelot geometric averaging rule for adhesion work of solid-liquid interface and its applications." Acta Physica Sinica 59, no. 11 (2010): 8010. http://dx.doi.org/10.7498/aps.59.8010.

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Boness, Cassandra L., Jordan E. Loeffelman, Douglas Steinley, Timothy Trull, and Kenneth J. Sher. "Using Complete Enumeration to Derive “One-Size-Fits-All” Versus “Subgroup-Specific” Diagnostic Rules for Substance Use Disorder." Assessment 27, no. 6 (2020): 1075–88. http://dx.doi.org/10.1177/1073191120903092.

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The use of fixed diagnostic rules, whereby the same diagnostic algorithms are applied across all individuals regardless of personal attributes, has been the tradition in the Diagnostic and Statistical Manual of Mental Disorders. This practice of “averaging” across individuals inevitably introduces diagnostic error. Furthermore, these average rules are typically derived through expert consensus rather than through data-driven approaches. Utilizing National Survey on Drug Use and Health 2013 ( N = 23, 889), we examined whether subgroup-specific, “customized” alcohol use disorder diagnostic rules

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Xie, Hong, Yongkun Li, and John C. S. Lui. "Understanding Persuasion Cascades in Online Product Rating Systems." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5490–97. http://dx.doi.org/10.1609/aaai.v33i01.33015490.

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Online product rating systems have become an indispensable component for numerous web services such as Amazon, eBay, Google play store and TripAdvisor. One functionality of such systems is to uncover the product quality via product ratings (or reviews) contributed by consumers. However, a well-known psychological phenomenon called “messagebased persuasion” lead to “biased” product ratings in a cascading manner (we call this the persuasion cascade). This paper investigates: (1) How does the persuasion cascade influence the product quality estimation accuracy? (2) Given a real-world product rati

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Hashimoto, Masafumi, Yuuki Nakamura, and Kazuhiko Takahashi. "Fault Diagnosis and Fault-Tolerant Control of a Joystick-Controlled Wheelchair." Journal of Robotics and Mechatronics 20, no. 6 (2008): 903–11. http://dx.doi.org/10.20965/jrm.2008.p0903.

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This paper presents a method of fault diagnosis and fault-tolerant control for a nonholonomic powered wheelchair. Hard faults of sensors and actuators in two drive/steering units of the wheelchair are handled. The fault diagnosis is based on the interacting multiple-model (IMM) estimator. In order to improve fault decisions, we implement mode probability averaging and heuristic decision-making rule in the IMM-based algorithm. A fault-tolerant controller designed based on Ackerman geometry enables safe motion of the wheelchair even if sensors and actuators have partially failed. Experimental re

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FUCHIZAKI, K. "NONERGODIC BEHAVIOR IN FRUSTRATED SQUARE ICE." International Journal of Modern Physics B 08, no. 15 (1994): 1989–2019. http://dx.doi.org/10.1142/s0217979294000828.

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A frustrated vertex model is proposed to elucidate some essential properties in proton glass. The frustration mechanism is clarified which arises from the geometric constraint, the so-called ice rule, rather than competing ferroelectric and antiferroelectric interactions. By comparing two order parameters which are obtained by exact thermal averaging and by Monte Carlo sampling, broken ergodicity as well as broken symmetry is examined. Estimation of the diffusion constant in a diffusion process in relevant configuration space allows us to discuss the ergodic convergence property in connection

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P, John Robinson, and Wilson Arul Prakash P. "Application of Improved Class of Weighted Averaging Operators in Intuitionistic Fuzzy Ann Guided MAGDM E-Commerce Problems." Indian Journal of Science and Technology 17, no. 29 (2024): 3026–36. https://doi.org/10.17485/IJST/v17i29.1872.

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Abstract <strong>Objectives:</strong> To propose a novel and improvised Artificial Neural Network (ANN) technique to solve Multiple Attribute Group Decision Making (MAGDM) problems and an improved class of Aggregation operators for combining Intuitionistic Fuzzy Set (IFS) matrices for the ANN algorithm. <strong>Methods:</strong> A novel class of improved aggregation operators namely the Improved Intuitionistic Fuzzy Weighted Arithmetic Averaging (IM-IFWAA) operator and the Improved Intuitionistic Fuzzy Ordered Weighted Averaging (IM-IFOWA) operator are proposed in this work. The

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Riek, Roland. "Revisiting the measurement of a quantum mechanical experiment by an Ehrenfest theorem-based Fourier Transformation." Journal of Physics: Conference Series 3017, no. 1 (2025): 012019. https://doi.org/10.1088/1742-6596/3017/1/012019.

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Abstract In terms of its time trajectory, a physical experiment is comprised of a preparation time, a start time, a time evolution (duration), and an end time (point at which the measurement actually occurs). In non-relativistic quantum mechanics the start of the experiment is described by the wave function at time t = 0 taking into account the starting conditions, the evolution is described by the wave function according to the Schrödinger equation and the measurement is described by the Born rule. While the Schrödinger equation is deterministic, it is the Born rule that renders quantum mecha

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Pereira, Telmo, and Armando Oliveira. "The usefulness of the averaging rule in consumer studies: A partial replication with an eye at neuroeconomics." European Review of Applied Psychology 71, no. 5 (2021): 100718. http://dx.doi.org/10.1016/j.erap.2021.100718.

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Hanada, Kenta, Takayuki Wada, Izumi Masubuchi, Toru Asai, and Yasumasa Fujisaki. "An Averaging Consensus Algorithm and Its Stopping Rule over Noisy Undirected Networks of MIMO Linear Symmetric Agents." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2018 (June 15, 2018): 46–49. http://dx.doi.org/10.5687/sss.2018.46.

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Plümper, Thomas, and Richard Traunmüller. "The sensitivity of sensitivity analysis." Political Science Research and Methods 8, no. 1 (2018): 149–59. http://dx.doi.org/10.1017/psrm.2018.30.

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AbstractThis article evaluates the reliability of sensitivity tests. Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of variables. Second and more importantly, our results also demonstrate that inferences based on sensitivity tests are most likely to be valid if determinants and confounders are almost uncorrelated and if the variables included in the true model exert a strong influence on outcomes. Third, no definition of robustness reliably avoids both false positives and false negatives. We find that for a wide variety of

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Xie, Hong, Mingze Zhong, Yongkun Li, and John C. S. Lui. "Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis, and Inference." ACM Transactions on Knowledge Discovery from Data 15, no. 3 (2021): 1–29. http://dx.doi.org/10.1145/3440887.

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Online product rating systems have become an indispensable component for numerous web services such as Amazon, eBay, Google Play Store, and TripAdvisor. One functionality of such systems is to uncover the product quality via product ratings (or reviews) contributed by consumers. However, a well-known psychological phenomenon called “ message-based persuasion ” lead to “ biased ” product ratings in a cascading manner (we call this the persuasion cascade ). This article investigates: (1) How does the persuasion cascade influence the product quality estimation accuracy? (2) Given a real-world pro

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Ali, Zeeshan, Tahir Mahmood, and Miin-Shen Yang. "Frank Prioritized Aggregation Operators and WASPAS Method Based on Complex Intuitionistic Fuzzy Sets and Their Application in Multi-Attribute Decision-Making." Mathematics 11, no. 9 (2023): 2058. http://dx.doi.org/10.3390/math11092058.

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Complex intuitionistic fuzzy (CIF) information covers the degree of membership and the degree of non-membership in the form of polar coordinates with a valuable and dominant characteristic where the sum of the real parts (the same rule for the imaginary parts) of the pair must be contained in the unit interval. In this paper, we first derive the Frank operational laws for CIF information and then examine the prioritized aggregation operators based on Frank operational laws for managing the theory of CIF information. These are the CIF Frank prioritized averaging (CIFFPA) operator, the CIF Frank

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Vadillo, Miguel A., Nerea Ortega-Castro, Itxaso Barberia, and A. G. Baker. "Two Heads Are Better Than One, but How Much?" Experimental Psychology 61, no. 5 (2014): 356–67. http://dx.doi.org/10.1027/1618-3169/a000255.

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Many theories of causal learning and causal induction differ in their assumptions about how people combine the causal impact of several causes presented in compound. Some theories propose that when several causes are present, their joint causal impact is equal to the linear sum of the individual impact of each cause. However, some recent theories propose that the causal impact of several causes needs to be combined by means of a noisy-OR integration rule. In other words, the probability of the effect given several causes would be equal to the sum of the probability of the effect given each cau

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Gahamanyi, Thomas Niyonzima, and Gérard Tchouassi. "Determinants of Price Dynamics in African Countries." International Journal of Economics and Finance 17, no. 3 (2025): 40. https://doi.org/10.5539/ijef.v17n3p40.

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This study analyzes the different determinants of price dynamics in Africa. We employed Bayesian Model Averaging to shed light on the primary determinants of price dynamics while taking into account the uncertainty associated with model design. Data was collected on 51 (Note 1) African countries for the chosen period from 1980-2020. The findings show that price dynamics in Africa are explained by various factors; the prices of imported foodstuffs, the production gap, government efficiency, the rule of law, English origin, and distance from the sea have a positive effect on price dynamics. Conv

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Günther, Manuel, Stefan Böhringer, Dagmar Wieczorek, and Rolf P. Würtz. "Reconstruction of images from Gabor graphs with applications in facial image processing." International Journal of Wavelets, Multiresolution and Information Processing 13, no. 04 (2015): 1550019. http://dx.doi.org/10.1142/s0219691315500198.

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Graphs labeled with complex-valued Gabor jets are one of the important data formats for face recognition and the classification of facial images into medically relevant classes like genetic syndromes. We here present an interpolation rule and an iterative algorithm for the reconstruction of images from these graphs. This is especially important if graphs have been manipulated for information processing. One such manipulation is averaging the graphs of a single syndrome, another one building a composite face from the features of various individuals. In reconstructions of averaged graphs of gene

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Pan, Yuetao, Danfeng Liu, Liguo Wang, Jón Atli Benediktsson, and Shishuai Xing. "A Pan-Sharpening Method with Beta-Divergence Non-Negative Matrix Factorization in Non-Subsampled Shear Transform Domain." Remote Sensing 14, no. 12 (2022): 2921. http://dx.doi.org/10.3390/rs14122921.

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In order to combine the spectral information of the multispectral (MS) image and the spatial information of the panchromatic (PAN) image, a pan-sharpening method based on β-divergence Non-negative Matrix Factorization (NMF) in the Non-Subsampled Shearlet Transform (NSST) domain is proposed. Firstly, we improve the traditional contrast calculation method to build the weighted local contrast measure (WLCM) method. Each band of the MS image is fused by a WLCM-based adaptive weighted averaging rule to obtain the intensity component I. Secondly, an image matting model is introduced to retain the sp

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Handika, I. Putu Susila, and I. Kadek Susila Satwika. "PERBANDINGAN KINERJA ALGORITMA APRIORI DAN EQUIVALENCE CLASS TRANSFORMATION (ECLAT) DALAM MENEMUKAN POLA PEMBELIAN PADA DATA TRANSAKSI MINIMARKET." Networking Engineering Research Operation 9, no. 2 (2024): 149–60. https://doi.org/10.21107/nero.v9i2.28055.

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This study compares the performance of the Apriori and ECLAT algorithms in analyzing sales transaction data from a minimarket. The research focuses on examining both algorithms' efficiency in terms of execution time and memory usage when identifying frequent itemsets and generating association rules. Given the limited variety of products sold in a minimarket, a lower minimum support (0.001) and minimum confidence (0.005) were applied to ensure meaningful results, as higher thresholds resulted in no significant findings. The first test evaluated the time required to find frequent itemsets, reve

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Li, Haoran, Jiadong Wang, Juncheng Wang, Ming Hu, and Yan Peng. "Continuum Damage Mechanics Approach for Modeling Cumulative-Damage Model." Mathematical Problems in Engineering 2021 (June 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/7136846.

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In this study, we propose a novel cumulative-damage model based on continuum damage mechanics under situations where the mechanical components are subjected to variable loading. The equivalent completely reversed stress amplitude accounting for the effect of mean stress, stress gradients, loading history, and additional hardening behavior related to nonproportional loading paths on high-cycle fatigue under variable loading is elaborated. The effect of mean stress, stress gradients, loading history, and additional hardening behavior related to nonproportional loading paths is considered by aver

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Martinez, Vincent R. "Convergence analysis of a viscosity parameter recovery algorithm for the 2D Navier–Stokes equations." Nonlinearity 35, no. 5 (2022): 2241–87. http://dx.doi.org/10.1088/1361-6544/ac5362.

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Abstract In this paper, the convergence of an algorithm for recovering the unknown kinematic viscosity of a two-dimensional incompressible, viscous fluid is studied. The algorithm of interest is a recursive feedback control-based algorithm that leverages observations that are received continuously-in-time, then dynamically provides updated values of the viscosity at judicious moments. It is shown that in an idealized setup, convergence to the true value of the viscosity can indeed be achieved under a natural and practically verifiable non-degeneracy condition. This appears to be first such res

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Hodyss, Daniel, Elizabeth Satterfield, Justin McLay, Thomas M. Hamill, and Michael Scheuerer. "Inaccuracies with Multimodel Postprocessing Methods Involving Weighted, Regression-Corrected Forecasts." Monthly Weather Review 144, no. 4 (2016): 1649–68. http://dx.doi.org/10.1175/mwr-d-15-0204.1.

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Abstract Ensemble postprocessing is frequently applied to correct biases and deficiencies in the spread of ensemble forecasts. Methods involving weighted, regression-corrected forecasts address the typical biases and underdispersion of ensembles through a regression correction of ensemble members followed by the generation of a probability density function (PDF) from the weighted sum of kernels fit around each corrected member. The weighting step accounts for the situation where the ensemble is constructed from different model forecasts or generated in some way that creates ensemble members th

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