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Academic literature on the topic 'WEIGHTING METHOD'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "WEIGHTING METHOD"

1

Zhongguo, Zheng. "Random weighting method forT statistic." Acta Mathematica Sinica 5, no. 1 (March 1989): 87–94. http://dx.doi.org/10.1007/bf02107626.

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Zhang, Dixin. "PP multivariate random weighting method." Acta Mathematica Sinica 11, no. 3 (September 1995): 256–66. http://dx.doi.org/10.1007/bf02265391.

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Ali, Ghassan Khazal, and Alexander Zamyatin. "A Supervised Term Relevance Weighting Method for Arabic Text Classification." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (November 20, 2019): 206–12. http://dx.doi.org/10.5373/jardcs/v11i11/20193189.

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Lenzuni, Paolo. "On the Low Frequency Noise Assessment Method." Journal of Low Frequency Noise, Vibration and Active Control 22, no. 2 (June 2003): 53–61. http://dx.doi.org/10.1260/026309203322770301.

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A new assessment method for low frequency noise annoyance is proposed. A new frequency weighting is introduced, and its robustness tested. Possible effects of impulsiveness and tonality are discussed. The method proposed explicitly includes correction factors for the former, while the latter is shown to be insignificant in this context. The method is cross-checked with existing methods based on frequency weightings, and its performance is objectively quantified using synthetic indicators.

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Cebi, Selcuk, and Cengiz Kahraman. "A new weighted fuzzy information axiom method in production research." Journal of Enterprise Information Management 32, no. 1 (February 11, 2019): 170–90. http://dx.doi.org/10.1108/jeim-03-2017-0046.

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Purpose The purpose of this paper is to propose a novel weighting algorithm for fuzzy information axiom (IA) and to apply it to the evaluation process of 3D printers. Design/methodology/approach As a decision-making tool, IA method is presented to evaluate the performance of any design. Then, weighted IA methods are investigated and a new weighting procedure is introduced to the literature. Then, the existing axiomatic design methods and the proposed new method are classified into two groups: weighting based on information content and weighting based on design ranges. The weighting based on information content approach consists of four methods including pessimistic and optimistic approaches. The philosophy of the weighting based on design ranges is to narrow design ranges in order to decrease fuzziness in the model. To prove the robustness and the performance of the proposed weighting method, the results are compared with the existing methods in the literature. Then, the new approach is applied to evaluate 3D printers. Findings The results of the proposed study show that the proposed weighting algorithm has better performance than the old ones for IA. Therefore, the proposed weighting algorithm should be used for the weighting tool of IA thereafter. Originality/value An effective weighting method compatible with the philosophy of IA method has been proposed. Furthermore, the performances of 3D printers are compared by using the proposed method.

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Zhao, Fuzhang. "Weighting Factors for Single-Step Trapezoidal Method." Journal of Heat Transfer 128, no. 4 (November 7, 2005): 409–12. http://dx.doi.org/10.1115/1.2175155.

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The uses of a weighting factor along with a time step in a single-step trapezoidal method to solve a first-order parabolic system have been systematically studied. The weighting factors are used in two main types: constants and variables. The most commonly used constant weighting factors can be defined by the ratio of the Fibonacci sequence. Among them, the optimal weighting factor is 0.618, resulting in a balance between the overall accuracy and efficiency. With the finite element formulation, the space and time dimensions can be discretized separately. For the time discretization only, there exists a zero-error dimensionless time step if a weighting factor is within the range of 0.5–1.0. By taking advantage of the zero-error condition, the weighting factor can be correlated with a time step. The influence of spatial dimensions is lumped into a nonzero eigenvalue of the system. Through validity tests of two benchmark linear problems, the variable weighting factor for a single-step trapezoidal method is shown to be accurate, efficient, and stable. The relevant features have been captured.

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Zhao, Wenbin, Changlai Xiao, Yunxu Chai, Xiaoya Feng, Xiujuan Liang, and Zhang Fang. "Application of a New Improved Weighting Method, ESO Method Combined with Fuzzy Synthetic Method, in Water Quality Evaluation of Chagan Lake." Water 13, no. 10 (May 20, 2021): 1424. http://dx.doi.org/10.3390/w13101424.

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The existing weighting methods mainly comprise subjective and objective weighting and have a certain degree of subjectivity, with certain requirements for the professional ability of the users and unstable results. Therefore, an improved weighting method based on the entropy weight, over-standard multiple, and single-factor evaluation methods, referred to as the ESO method, is proposed. The advantages and advancements of the ESO method are demonstrated in this study by combining it with the fuzzy synthetic evaluation method to evaluate the water quality of Chagan Lake wetland from 2007 to 2016. The main conclusions of this study are as follows: 1. The ESO method has more comprehensive consideration factors, lower requirements for the professional ability of users, and more stable weighting results than the traditional weighting method. Therefore, it is highly suitable for beginners and frontline staff who are not professionally qualified and cannot accurately conduct subjective weighting. Meanwhile, owing to the amendment rule and emphasis on the local weight of the sample in the ESO method, it is applicable to time-series samples. 2. The ESO method better allocates the amendment weights to indicators with a higher degree of pollution; thus, the final comprehensive evaluation results are relatively conservative. However, in contrast to the single-factor evaluation, the conservatism of ESO method is the result of the comprehensive effect of all samples; thus, the conservative result of the ESO method is more reasonable. 3. The water quality of Chagan Lake in 2009 and 2015 was class IV, which did not meet the standard, while that in remaining the eight years was class III, which met the requirements of the national 13th Five-Year Plan. The results of this study can provide a new approach to weighting calculation methods and a basis for the protection and treatment of the ecological environment of the Chagan Lake wetland.

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KAWABE, Taketoshi, Toshio MATSUMURA, Kimio KANAI, and Toshiyuki KITAMORI. "A Frequency Weighting Parameter Identification Method." Transactions of the Society of Instrument and Control Engineers 31, no. 6 (1995): 773–79. http://dx.doi.org/10.9746/sicetr1965.31.773.

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Huang, Yi-Fung, and Kun-Li Wen. "Weighting analysis by using grey method." Journal of Discrete Mathematical Sciences and Cryptography 11, no. 1 (February 2008): 33–58. http://dx.doi.org/10.1080/09720529.2008.10698165.

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Willems, F. M. J. "The context-tree weighting method: extensions." IEEE Transactions on Information Theory 44, no. 2 (March 1998): 792–98. http://dx.doi.org/10.1109/18.661523.

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Dissertations / Theses on the topic "WEIGHTING METHOD"

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Calandruccio, Lauren. "Spectral weighting strategies for sentences measured by a correlational method." Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1342726281&sid=1&Fmt=2&clientId=3739&RQT=309&VName=PQD.

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Jeon, Byung Ho. "Proposed automobile steering wheel test method for vibration." Thesis, Brunel University, 2010. http://bura.brunel.ac.uk/handle/2438/4623.

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This thesis proposes a test method for evaluating the perceived vibration which occurs at the driver's hand in automotive steering wheel interface. The objective of the research was to develop frequency weightings for quantifying the human perception of steering wheel hand-arm vibration. Family of frequency weightings were developed from equal sensation curves obtained from the psychophysical laboratory experimental tests. The previous literature suggests that the only internationally standardised frequency weighting Wh is not accurate to predict human perception of steering wheel hand-arm vibration (Amman et. al, 2005) because Wh was developed originally for health effects, not for the human perception. In addition, most of the data in hand-arm vibration are based upon responses from male subjects (Neely and Burström, 2006) and previous studies based only on sinusoidal stimuli. Further, it has been continuously suggested by researchers (Gnanasekarna et al., 2006; Morioka and Griffin, 2006; Ajovalasit and Giacomin, 2009) that only one weighting is not optimal to estimate the human perception at all vibrational magnitudes. In order to address these problems, the investigation of the effect of gender, body mass and the signal type on the equal sensation curves has been performed by means of psychophysical laboratory experimental tests. The test participants were seated on a steering wheel simulator which consists of a rigid frame, a rigid steering wheel, an automobile seat, an electrodynamic shaker unit, a power amplifier and a signal generator. The category-ratio Borg CR10 scale procedure was used to quantify the perceived vibration intensity. A same test protocol was used for each test and for each test subject. The first experiment was conducted to investigate the effect of gender using sinusoidal vibration with 40 test participants (20 males and 20 females). The results suggested that the male participants provided generally lower subjective ratings than the female participants. The second experiment was conducted using band-limited random vibration to investigate the effect of signal type between sinusoidal and band-limited random vibration with 30 test participants (15 males and 15 females). The results suggested that the equal sensation curves obtained using random vibration were generally steeper and deeper in the shape of the curves than those obtained using sinusoidal vibration. These differences may be due to the characteristics of random vibration which produce generally higher crest factors than sinusoidal vibration. The third experiment was conducted to investigate the effect of physical body mass with 40 test participants (20 light and 20 heavy participants) using sinusoidal vibration. The results suggested that the light participants produced generally higher subjective ratings than the heavy participants. From the results it can be suggested that the equal sensation curves for steering wheel rotational vibration differ mainly due to differences of body size rather than differences of gender. The final experiments was conducted using real road signals to quantify the human subjective response to representative driving condition and to use the results to define the selection method for choosing the adequate frequency weightings for the road signals by means of correlation analysis. The final experiment was performed with 40 test participants (20 light and 20 heavy participants) using 21 real road signals obtained from the road tests. From the results the hypothesis was established that different amplitude groups may require different frequency weightings. Three amplitude groups were defined and the frequency weightings were selected for each amplitude group. The following findings can be drawn from the research: • the equal sensation curves suggest a nonlinear dependency on both the frequency and the amplitude. • the subjective responses obtained from band-limited random stimuli were steeper and the deeper in the shape of the equal sensation curves than those obtained using sinusoidal vibration stimuli. • females provided higher perceived intensity values than the males for the same physical stimulus at most frequencies. • light test participants provided higher perceived intensity than the heavy test participants for the same physical stimulus at most frequencies. • the equal sensation curves for steering wheel rotational vibration differ mainly due to differences in body size, rather than differences of gender. • at least three frequency weightings may be necessary to estimate the subjective intensity for road surface stimuli.

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Chen, Ziyue. "Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503007759352248.

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Asgeirsson, David J. "Development of a Monte Carlo re-weighting method for data fitting and application to measurement of neutral B meson oscillations." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/37021.

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In experimental particle physics, researchers must often construct a mathematical model of the experiment that can be used in fits to extract parameter values. With very large data sets, the statistical precision of measurements improves, and the required level of detail of the model increases. It can be extremely difficult or impossible to write a sufficiently precise analytical model for modern particle physics experiments. To avoid this problem, we have developed a new method for estimating parameter values from experimental data, using a Maximum Likelihood fit which compares the data distribution with a “Monte Carlo Template”, rather than an analytical model. In this technique, we keep a large number of simulated events in computer memory, and for each iteration of the fit, we use the stored true event and the current guess at the parameters to re-weight the event based on the probability functions of the underlying physical models. The re-weighted Monte-Carlo (MC) events are then used to recalculate the template histogram, and the process is repeated until convergence is achieved. We use simple probability functions for the underlying physical processes, and the complicated experimental resolution is modeled by a highly detailed MC simulation, instead of trying to capture all the details in an analytical form. We derive and explain in detail the “Monte-Carlo Re-Weighting” (MCRW) fit technique, and then apply it to the problem of measuring the neutral B meson mixing frequency. In this thesis, the method is applied to simulated data, to demonstrate the technique, and to indicate the results that could be expected when this analysis is performed on real data in the future.

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De, la Rey Tanja. "Two statistical problems related to credit scoring / Tanja de la Rey." Thesis, North-West University, 2007. http://hdl.handle.net/10394/3689.

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This thesis focuses on two statistical problems related to credit scoring. In credit scoring of individuals, two classes are distinguished, namely low and high risk individuals (the so-called "good" and "bad" risk classes). Firstly, we suggest a measure which may be used to study the nature of a classifier for distinguishing between the two risk classes. Secondly, we derive a new method DOUW (detecting outliers using weights) which may be used to fit logistic regression models robustly and for the detection of outliers. In the first problem, the focus is on a measure which may be used to study the nature of a classifier. This measure transforms a random variable so that it has the same distribution as another random variable. Assuming a linear form of this measure, three methods for estimating the parameters (slope and intercept) and for constructing confidence bands are developed and compared by means of a Monte Carlo study. The application of these estimators is illustrated on a number of datasets. We also construct statistical hypothesis to test this linearity assumption. In the second problem, the focus is on providing a robust logistic regression fit and the identification of outliers. It is well-known that maximum likelihood estimators of logistic regression parameters are adversely affected by outliers. We propose a robust approach that also serves as an outlier detection procedure and is called DOUW. The approach is based on associating high and low weights with the observations as a result of the likelihood maximization. It turns out that the outliers are those observations to which low weights are assigned. This procedure depends on two tuning constants. A simulation study is presented to show the effects of these constants on the performance of the proposed methodology. The results are presented in terms of four benchmark datasets as well as a large new dataset from the application area of retail marketing campaign analysis. In the last chapter we apply the techniques developed in this thesis on a practical credit scoring dataset. We show that the DOUW method improves the classifier performance and that the measure developed to study the nature of a classifier is useful in a credit scoring context and may be used for assessing whether the distribution of the good and the bad risk individuals is from the same translation-scale family.
Thesis (Ph.D. (Risk Analysis))--North-West University, Potchefstroom Campus, 2008.

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Яременко, Наталія Сергіївна, Наталья Сергеевна Яременко, and Nataliia Serhiivna Yaremenko. "Метод рандомізованих зведених показників визначення вагових коефіцієнтів в таксономічних показниках." Thesis, Запорізький національний університет, 2015. http://essuir.sumdu.edu.ua/handle/123456789/60125.

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Розглядається метод рандомізованих зведених показників для знаходження вагових коефіцієнтів при необхідності згортки стандартизованих показників з урахуванням їх нерівнозначного вкладу в інтегральний показник.
The method of randomized aggregates for finding weighting coefficients when necessary convolution of standardized indicators given their unequal contribution to the integral index.

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7

Col, Juliana Sipoli. "Coerência, ponderação de princípios e vinculação à lei: métodos e modelos." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/2/2139/tde-29082013-132628/.

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O objeto da discussão é a racionalidade das decisões judiciais em casos em que se constata conflito de princípios ou entre princípios e regras, casos esses considerados difíceis, uma vez que não há no ordenamento jurídico solução predeterminada que permita mera subsunção dos fatos à norma. São examinados métodos alternativos ao de subsunção. O primeiro é o método da ponderação, difundido principalmente por Robert Alexy, com suas variantes. Entretanto, o problema que surge com a aplicação do método da ponderação é da imponderabilidade entre ponderação e vinculação à lei, ou seja, a escolha dos pesos dos princípios e sua potencial desvinculação da lei. O segundo modelo, chamado de coerentista, busca conferir alguma racionalidade e fornecer critérios que poderiam explicar escolhas entre valores conflitantes subjacentes à legislação e mesmo aos pesos do método de ponderação. Dentro do modelo coerentista, examina-se em particular a versão inferencial que explora a coerência entre regras e princípios pela inferência abdutiva dos princípios a partir das regras. A aplicação dos diferentes modelos é feita em duas decisões prolatadas pelo Supremo Tribunal Federal em casos de conflito de princípio, casos Ellwanger e de aborto de anencéfalos. O que não permite generalização, mas oferece ilustrações específicas das virtudes e vícios desses modelos de decisão.
The subject of this study is rationality of judgments when there is collision of principles or conflict between principles and rules, which are hard cases, since there is no predetermined solution in legal system that allows only subsuming facts to the norm. Alternative methods are then examined. The first is the method of weighting and balancing proposed mainly by Robert Alexy, in spite of its variants. However, the difficulty to apply such method is theweightlessness between weighing and law binding, that is, the choice of weight of principles and its untying to the Law. The second model, called coherence model, intends to reach any rationality and provide criteria that could explain choices between conflicting values underlying Law and also the ascription of weights of the weighing and balancing method. In coherence model, it is studied especially its inferential version that explores coherence between rules and principles through abduction of principles from rules. These methods are tested in two decisions by Brazilian Supreme Court in cases of collision of principle, in Ellwanger and anencephalic abortion cases. That does not allow a general approach, but only specific outlines of the virtues and defects of these models of decision.

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Gencturk, Bilgehan. "Nickel Resource Estimation And Reconciliation At Turkmencardagi Laterite Deposits." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614978/index.pdf.

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In recent years nickel is mostly produced from lateritic ore deposits such as nontronite, limonite, etc. Resource estimation is difficult for laterite deposits as they have a weak and heterogeneous form. 3D modeling software are rather suitable for deposits having tabular or vein type ores. In this study the most appropriate estimation technique for resource estimation of nickel laterite deposits was investigated. One of the known nickel laterite deposits in Turkey is located at Tü
rkmenç
ardagi - Gö
rdes region. Since the nickel (Ni) grade recovered from drilling studies seem to be very low, a reconciliation pit having dimensions of 40 m x 40 m x 15 m in x-y-z directions was planned by Meta Nikel Kobalt Mining Company (META), the license owner of the mine, to produce nickel ore. 13 core drilling and 13 reverse circulation drilling (RC) and 26 column samplings adjacent to each drillholes were located in this area. Those three sampling results were compared to each other and as well as the actual production values obtained from reconciliation pit. On the other side 3D computer modeling was also used to model the nickel resource in Tü
rkmenç
ardagi - Gö
rdes laterites. The results obtained from both inverse distance weighting and kriging methods were compared to the results of actual production to find out the applicability of 3D modeling to laterite deposits. Modeling results showed that Ni grade of the reconciliation pit in Tü
rkmenç
ardagi - Gö
rdes, considering 0.5% Ni cut-off value, by using drillholes data, inverse distance weighting method estimates 622 tonnes with 0.553% Ni and kriging method estimates 749 tonnes with 0.527% Ni. The actual production pit results provided 4,882 tonnes of nickel ore with 0.649% Ni grade. These results show that grade values seem to be acceptable but in terms of tonnage, there are significant differences between theoretical estimated values and production values.

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Lu, Ling, and Bofeng Li. "Combining Different Feature Weighting Methods for Case Based Reasoning." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-26603.

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Choo, Wei-Chong. "Volatility forecasting with exponential weighting, smooth transition and robust methods." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.489421.

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This thesis focuses on the forecasting of the volatility in financial returns. Our first main contribution is the introduction of two new approaches for combining volatility forecasts. One approach involves the use of discounted weighted least square. The second proposed approach is smooth transition (ST) combining, which allows the combining weights to change gradually and smoothly over time in response to changes in suitably chosen transition variables.

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Books on the topic "WEIGHTING METHOD"

1

1939-, Fix George J., and Langley Research Center, eds. Least squares finite element simulation of transonic flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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Dilsavor, Ronald Louis. Analysis of modified SMI method for adaptive array weight control. Washington, DC: National Aeronautics and Space Administration, 1989.

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Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/1045820.

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The monograph presents a methodology for assessing the vulnerability of landscapes to external influences. A comparative analysis of the concepts of "stability", "sensitivity", "vulnerability" in relation to natural complexes. An overview of existing methods for assessing the vulnerability of natural complexes is presented. The author's method of assessing the vulnerability of landscapes to anthropogenic impacts is described. The methodology is based on: selection and justification of criteria for assessing the vulnerability of landscapes; preparation of a parametric matrix and gradation of assessment criteria in accordance with the developed vulnerability classes; calculation of weighting factors of vulnerability assessment parameters; selection of optimal territorial operational unit for landscape vulnerability assessment. The method is implemented in the GIS environment "Assessment of vulnerability of landscapes of the Kaliningrad region to anthropogenic impacts", created by the authors using modern geoinformation products. The specificity of spatial differentiation of different landscapes in terms of vulnerability to anthropogenic impacts at the regional and local levels is revealed. It is stated that the use of the methodology for assessing the vulnerability of landscapes to anthropogenic impacts and its integration into the system of nature management will ensure a balanced account of geoecological features and environmental priorities in territorial planning. It is of interest to specialists in the field of rational nature management, environmental protection, spatial planning.

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Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. Greenbelt, Md: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.

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Zardari, Noorul Hassan, Kamal Ahmed, Sharif Moniruzzaman Shirazi, and Zulkifli Bin Yusop. Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12586-2.

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Oktay, Baysal, and United States. National Aeronautics and Space Administration., eds. Investigation of dispersion-relation-preserving scheme and spectral analysis methods for acoustic waves. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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Oktay, Baysal, and United States. National Aeronautics and Space Administration., eds. Investigation of dispersion-relation-preserving scheme and spectral analysis methods for acoustic waves. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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Branson, Nicola. Re-weighting the OHS and LFS national household survey data to create a consistent series over time: A cross entropy estimation approach. Cape Town: Southern Africa Labour and Development Research Unit, University of Cape Town, 2009.

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Christine, Bachrach, National Survey of Family Growth (U.S.), and National Center for Health Statistics (U.S.), eds. National survey of family growth, cycle III: Sample design, weighting, and variance estimation : this report describes the procedures used to select the sample. Hyattsville, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Statistics, 1985.

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Wright, A. G. Measurement of low light flux. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199565092.003.0007.

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There are three experimental methods for quantifying the flux of light incident on a photocathode: counting the anode output pulses initiated by photoelectrons—known as photon counting; measuring the DC current flowing at the anode—referred to as analogue detection, or charge integration; and determining the rms noise in the anode current—known as shot noise power detection. The statistical performances of the three methods, based on weighting factors, are compared, revealing the theoretical superiority of the photon-counting method. Optimal time allocation between signal and background measurement is derived for photon counting. An amplifier discriminator is the simplest and preferred instrumentation for photon counting, but setting the optimal counting threshold is ultimately a matter of judgement. This is because the plateau has a different slope for signal, background, and afterpulses. Rudiments of signal recovery instrumentation covering boxcar integrators, lock-in detection, and synchronous signal averaging are given.

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Book chapters on the topic "WEIGHTING METHOD"

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Li, Fangchao, Jingxiang Gao, Zengke Li, Yifei Yao, Ren Wang, and Ruoxi Li. "Stratified Weighting Method Based on Posterior Residual Error." In Lecture Notes in Electrical Engineering, 455–65. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0014-1_38.

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Liu, Hu-Chen. "FMEA Using Combination Weighting and Fuzzy VIKOR Method." In FMEA Using Uncertainty Theories and MCDM Methods, 183–98. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1466-6_12.

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Zhu, Songyang, and Xiaoqing Bai. "TOPSIS Scoring Method for Industrial Users Based on DEMATEL-EWM Weighting Method." In Lecture Notes in Electrical Engineering, 187–98. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1439-5_16.

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Kinnunen, Tomi, and Pasi Fränti. "Speaker Discriminative Weighting Method for VQ-Based Speaker Identification." In Lecture Notes in Computer Science, 150–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45344-x_22.

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Wei, Bifan, Boqin Feng, Feijuan He, and Xiaoyu Fu. "An Extended Supervised Term Weighting Method for Text Categorization." In Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011, 87–99. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2105-0_11.

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Chang, Pao-Long, Chiung-Wen Hsu, and Chih-Min Hsiung. "Assessment of Hydrogen Storage Technologies by Using Compromised Weighting Method." In Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), 907–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33012-4_90.

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Kennedy, Alistair, and Stan Szpakowicz. "A Supervised Method of Feature Weighting for Measuring Semantic Relatedness." In Advances in Artificial Intelligence, 222–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21043-3_27.

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Xiang, Wei-Ning. "Balancing Measurement Precision with Cognitive Efforts in Weighting Method Selection." In Integrated Land Use and Environmental Models, 159–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05109-2_9.

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Rădulescu, Constanta Zoie, and Marius Rădulescu. "A Hybrid Method for Cloud Quality of Service Criteria Weighting." In AIRO Springer Series, 425–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00473-6_45.

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Xu, Xiaolin, and Jiali Feng. "Improvement on Attribute Weighting in Attribute Coordinate Comprehensive Evaluation Method." In Communications in Computer and Information Science, 85–94. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81635-3_8.

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Conference papers on the topic "WEIGHTING METHOD"

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Kim, Hee Sun, and Zsolt Talata. "Context Set Weighting method." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541493.

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Pery, Marcin. "Dynamic Weighting New method of weighting panels with large numbers of weighting parameters." In 2014 Federated Conference on Computer Science and Information Systems. IEEE, 2014. http://dx.doi.org/10.15439/2014f488.

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Suh, Donghyok, and Kunsoo Oh. "Weighting Method in the Risk Recognition." In Advanced Information Technology and Sensor Application 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.53.66.

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Zhao, Fuzhang. "Optimal Weighting Factor for Single-Step Trapezoidal Method." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41109.

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A new optimal weighting factor for a single-step trapezoidal method, θ = 0.618, has been developed to solve transient linear and nonlinear heat conduction problems. The numerical results based on the optimal weighting factor developed, through both linear and nonlinear benchmark tests, are compared with other commonly used single-step trapezoidal methods with emphasis on the combination of both accuracy and efficiency in the solution. The optimal weighting factor of single-step method has been proved to be very accurate, stable, and efficient. The relevant features for the single-step trapezoidal methods are also addressed.

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Kiselyov, Boris S., Nickolay Y. Kulakov, Andrei L. Mikaelian, Vladimir A. Shkitin, and Sergei Glebov. "Pattern-weighting method for optical associative memory." In Topical Meeting on Optical Computing, edited by Andrey M. Goncharenko, Fedor V. Karpushko, George V. Sinitsyn, and Sergey P. Apanasevich. SPIE, 1993. http://dx.doi.org/10.1117/12.147842.

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Gao, B. B., S. S. Gao, Y. Yang, and H. F. Yan. "Random weighting method for estimating sampling distributions." In International Conference on Advances in Management Engineering and Information Technology. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/ameit140411.

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Dong, Yunfeng, and Shen Wang. "A New Weighting Method for Antenna Clusters." In 2022 16th European Conference on Antennas and Propagation (EuCAP). IEEE, 2022. http://dx.doi.org/10.23919/eucap53622.2022.9769080.

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Huang, Yuan Mao, and Chung-Cheng Liao. "On Evaluation Method During Conceptual Design." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dtm-14542.

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Abstract This study proposes an evaluation method that integrates the existing ordinal, cardinal and matrix methods for decision making. Normalized values are recommended for the pairwise comparisons of evaluation items to determine the weighting factors. These values also assist in determining the weighting eigenvectors for alternatives of the potential products. Web diagrams are generated for all alternatives and their areas are compared to identify the most preferred one. The proposed method can reduce drawbacks of the Pahl and Beitz method and the Saaty method when the two most preferred alternatives have the same summed weighted values in the Pahl and Beitz method or the same composite weighting factors in the Saaty method.

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Enqvist, Martin. "A weighting method for approximate nonlinear system identification." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434685.

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Liu, Xuefei, and Linlin Lu. "A Weighting Threshold Optimization Method in Speech Recognition." In 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.213.

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Reports on the topic "WEIGHTING METHOD"

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Chisholm, E., and T. G. Kolda. New Term Weighting Formulas for the Vector Space Method in Information Retrieval. Office of Scientific and Technical Information (OSTI), March 1999. http://dx.doi.org/10.2172/5698.

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Ilchenko, Yuriy. Measurement of the Top Quark Mass in Dilepton Final States with the Neutrino Weighting Method. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1128089.

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Irimata, Katherine, Yulei He, Van Parsons, Hee-Choon Shin, and Guangyu Zhang. Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey. National Center for Health Statistics (U.S.), March 2023. http://dx.doi.org/10.15620/cdc:123463.

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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, June 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest to the natural language. This closeness allows for closer interaction with a subject area expert and build well-understood, easily interpreted inference systems. The structure of a fuzzy system, functions and mechanisms of model building are described. The system is presented in the form of a block diagram of fuzzy logical nodes and consists of four input variables, corresponding to the levels of knowledge assimilation and one initial one. The surface of the response of a fuzzy system reflects the dependence of the final grade on the level of difficulty of the task and the degree of correctness of the task. The structure and functions of the fuzzy system are indicated. The modeled in this way intelligent system for assessing multilevel test tasks based on fuzzy logic makes it possible to take into account the fuzzy characteristics of the test: the level of difficulty of the task, which can be assessed as “easy”, “average", “above average”, “difficult”; the degree of correctness of the task, which can be assessed as “correct”, “partially correct”, “rather correct”, “incorrect”; time allotted for the execution of a test task or test, which can be assessed as “short”, “medium”, “long”, “very long”; the percentage of correctly completed tasks, which can be assessed as “small”, “medium”, “large”, “very large”; the final mark for the test, which can be assessed as “poor”, “satisfactory”, “good”, “excellent”, which are included in the assessment. This approach ensures the maximum consideration of answers to questions of all levels of complexity by formulating a base of inference rules and selection of weighting coefficients when deriving the final estimate. The robustness of the system is achieved by using Gaussian membership functions. The testing of the controller on the test sample brings the functional suitability of the developed model.

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Kiedrowski, Brian C. Adjoint Weighting Methods Applied to Monte Carlo Simulations of Applications and Experiments in Nuclear Criticality. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1122890.

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Greenblatt, Jeffery B., Hung-Chia Yang, Louis-Benoit Desroches, Scott J. Young, Bereket Beraki, Sarah K. Price, Stacy Pratt, Henry Willem, and Sally M. Donovan. U.S. residential consumer product information: Validation of methods for post-stratification weighting of Amazon Mechanical Turk surveys. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1171750.

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Olefirenko, Nadiia V., Ilona I. Kostikova, Nataliia O. Ponomarova, Kateryna O. Lebedieva, Vira M. Andriievska, and Andrey V. Pikilnyak. Training elementary school teachers-to-be at Computer Science lessons to evaluate e-tools. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3890.

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The study purpose is to develop methodological support for students’ training for evaluation e-tools for young learners and to check its effectiveness experimentally. The module “Expert evaluation of the quality of e-tools for young learners” is offered for teachers-to-be. The determination of the weighting factor of each criterion by expert evaluations was organized. Educational principles, correlation e-tool content with the curriculum, interactivity, multimedia, assistance system, ergonomic requirements are mentioned. On the basis of the criterion rank, the significance of each criterion was calculated. The indicators to determine the level of preliminary expert evaluations of e-tools are proposed. The results are calculated with nonparametric methods of mathematical statistics, in particular, Pearson’s criterion χ2. The conclusion is the expert evaluation has different activity stages, gradually becoming a common phenomenon. Training teachers-to-be for e-tool expert evaluation at Computer Science, Mathematics, English is a complex process.

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Dutra, Lauren M., Matthew C. Farrelly, Brian Bradfield, Jamie Ridenhour, and Jamie Guillory. Modeling the Probability of Fraud in Social Media in a National Cannabis Survey. RTI Press, September 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0046.2109.

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Cannabis legalization has spread rapidly in the United States. Although national surveys provide robust information on the prevalence of cannabis use, cannabis disorders, and related outcomes, information on knowledge, attitudes, and beliefs (KABs) about cannabis is lacking. To inform the relationship between cannabis legalization and cannabis-related KABs, RTI International launched the National Cannabis Climate Survey (NCCS) in 2016. The survey sampled US residents 18 years or older via mail (n = 2,102), mail-to-web (n = 1,046), and two social media data collections (n = 11,957). This report outlines two techniques that we used to problem-solve several challenges with the resulting data: (1) developing a model for detecting fraudulent cases in social media completes after standard fraud detection measures were insufficient and (2) designing a weighting scheme to pool multiple probability and nonprobability samples. We also describe our approach for validating the pooled dataset. The fraud prevention and detection processes, predictive model of fraud, and the methods used to weight the probability and nonprobability samples can be applied to current and future complex data collections and analysis of existing datasets.

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Job, Jacob. Mesa Verde National Park: Acoustic monitoring report. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286703.

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In 2015, the Natural Sounds and Night Skies Division (NSNSD) received a request to collect baseline acoustical data at Mesa Verde National Park (MEVE). Between July and August 2015, as well as February and March 2016, three acoustical monitoring systems were deployed throughout the park, however one site (MEVE002) stopped recording after a couple days during the summer due to wildlife interference. The goal of the study was to establish a baseline soundscape inventory of backcountry and frontcountry sites within the park. This inventory will be used to establish indicators and thresholds of soundscape quality that will support the park and NSNSD in developing a comprehensive approach to protecting the acoustic environment through soundscape management planning. Additionally, results of this study will help the park identify major sources of noise within the park, as well as provide a baseline understanding of the acoustical environment as a whole for use in potential future comparative studies. In this deployment, sound pressure level (SPL) was measured continuously every second by a calibrated sound level meter. Other equipment included an anemometer to collect wind speed and a digital audio recorder collecting continuous recordings to document sound sources. In this document, “sound pressure level” refers to broadband (12.5 Hz–20 kHz), A-weighted, 1-second time averaged sound level (LAeq, 1s), and hereafter referred to as “sound level.” Sound levels are measured on a logarithmic scale relative to the reference sound pressure for atmospheric sources, 20 μPa. The logarithmic scale is a useful way to express the wide range of sound pressures perceived by the human ear. Sound levels are reported in decibels (dB). A-weighting is applied to sound levels in order to account for the response of the human ear (Harris, 1998). To approximate human hearing sensitivity, A-weighting discounts sounds below 1 kHz and above 6 kHz. Trained technicians calculated time audible metrics after monitoring was complete. See Methods section for protocol details, equipment specifications, and metric calculations. Median existing (LA50) and natural ambient (LAnat) metrics are also reported for daytime (7:00–19:00) and nighttime (19:00–7:00). Prominent noise sources at the two backcountry sites (MEVE001 and MEVE002) included vehicles and aircraft, while building and vehicle predominated at the frontcountry site (MEVE003). Table 1 displays time audible values for each of these noise sources during the monitoring period, as well as ambient sound levels. In determining the current conditions of an acoustical environment, it is informative to examine how often sound levels exceed certain values. Table 2 reports the percent of time that measured levels at the three monitoring locations were above four key values.

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Driving Confidence in a Connected Vehicle Environment: A Case Study of Expressway Work Zone. SAE International, December 2020. http://dx.doi.org/10.4271/2020-01-5210.

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At present, how the application of connected vehicle technology will affect drivers’ driving psychology needs to be explored. As an important part of driving psychology, driving confidence can guide drivers to operate calmly when facing a complex traffic environment, which has an important impact on reducing accident rates and improving traffic efficiency. Based on the driving behavior data in the expressway work zone under a connected vehicle environment, this study mainly analyzed the difference between the psychological characteristics of drivers with warning information or without warning information when facing the work zone ahead. Firstly, based on driving simulation technology, the expressway work zone scene in a connected vehicle environment was designed, and the on-board human-machine interface was used to provide warning information of the work zone ahead. Secondly, the difference of drivers’ driving confidence in psychology when driving with or without warning information was analyzed by using the characteristics of average vehicle spatiotemporal diagram and gas pedal angle. Finally, a method of quantifying driving confidence was proposed, which used a kind of objective weighting method to get the weights between different indicators. Based on this method, drivers’ degree of driving confidence under two conditions was calculated. The results showed that connected vehicle technology could affect drivers’ driving confidence in psychology when facing the work zone ahead. In the connected vehicle environment, 82.9% of drivers’ degree of driving confidence would increase, and the average degree of driving confidence with warning information was 10.9% higher than that without warning information.

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