Relevant bibliographies by topics / WEIGHTING METHOD

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'WEIGHTING METHOD'

Author: Grafiati
Published: 11 September 2023
Last updated: 25 July 2025

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Journal articles on the topic "WEIGHTING METHOD"

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Zhongguo, Zheng. "Random weighting method forT statistic." Acta Mathematica Sinica 5, no. 1 (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 (1995): 256–66. http://dx.doi.org/10.1007/bf02265391.

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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 (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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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 (2019): 206–12. http://dx.doi.org/10.5373/jardcs/v11i11/20193189.

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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 (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 in
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Zhao, Fuzhang. "Weighting Factors for Single-Step Trapezoidal Method." Journal of Heat Transfer 128, no. 4 (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
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Thanh, Pham Viet, Duong Van Duc, Hoang Xuan Khoa, and Tran Van Dua. "Integrating the Root Assessment Method with Subjective Weighting Methods for Battery Electric Vehicle Selection." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21526–31. https://doi.org/10.48084/etasr.10291.

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The global automotive industry is actively transitioning towards the production of BEVs (Battery Electric Vehicles) to significantly reduce carbon emissions and address climate change. In the context of a world striving for sustainable development, selecting the right BEV has become a crucial decision for consumers. This study pioneers the application of the RAM (Root Assessment Method) method for BEV selection among 10 available options. Each electric vehicle is described by 11 criteria, with weights calculated using two subjective weighting methods: the ROC method and the RS (Rank Sum) metho
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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 (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
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Xie, Yu, Bao Hong Han, and Yun Long Duan. "Study on a Method of Accurate Weighting." Applied Mechanics and Materials 389 (August 2013): 754–57. http://dx.doi.org/10.4028/www.scientific.net/amm.389.754.

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An accurate and automatic weighting method was used to satisfy the command. The system consisted a hopper, a vibration propellant delivering equipment, a particle separation equipment and control system. The main controller and the programmed logic controller were used to control the system to make sure the high precision of particles weighting as host computer and slave computer respectively. The result shows that the method can solve the key technology of the automatic weighting of the small-bore experimental cartridge and offers significance for the automatic weighting of standard particles
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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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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 vib
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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 distr
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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
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Яременко, Наталія Сергіївна, Наталья Сергеевна Яременко та 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.<br>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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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
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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 T&uuml<br>rkmen&ccedil<br>ardagi - G&ouml<br>rdes region. Since the nickel (Ni) grade recovered from drilling stud
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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"

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1939-, Fix George J., and Langley Research Center, eds. Least squares finite element simulation of transonic flows. 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. National Aeronautics and Space Administration, 1989.

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Kesoretskikh, Ivan, and Sergey Zotov. Landscape vulnerability: concept and assessment. 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 as
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Lerch, F. J. Optimum data weighting and error calibration for estimation of gravitational parameters. 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. 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. 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. 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. 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. 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 measur
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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. 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. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1466-6_12.

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Hosseinzadeh Lotfi, Farhad, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, and Somayeh Razipour GhalehJough. "Simple Additive Weighting (SAW) Method in Fuzzy Environment." In Fuzzy Decision Analysis: Multi Attribute Decision Making Approach. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44742-6_5.

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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. 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. 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. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2105-0_11.

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Tong, Ye, Xingxiu Li, Panlong Wu, Yang Zhao, and Ke Wang. "A New Threat Assessment Method for Airborne Targets Based on Dynamic Weighting Method." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1091-1_25.

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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). 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. 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. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05109-2_9.

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Conference papers on the topic "WEIGHTING METHOD"

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Shi, Zhaomin, Lei Wang, Lei Jiang, Zhijun Wang, and Jiangtao Zhang. "A harmonic analysis method based on quadratic weighting." In 2024 Conference on Precision Electromagnetic Measurements (CPEM). IEEE, 2024. http://dx.doi.org/10.1109/cpem61406.2024.10731963.

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Patchsuwan, Nattapat, and Parkpoom Chaisiriprasert. "Facial Expressions Pain Level Estimated by Weighting Method." In 2024 8th International Conference on Information Technology (InCIT). IEEE, 2024. https://doi.org/10.1109/incit63192.2024.10810654.

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Li, Zhaorui, Yicheng Liu, Tao Liu, Ruofeng Qiu, Yunfei Qi, and Wu Xie. "Extreme disaster risk evaluation model based on comprehensive weighting method." In Second International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), edited by Bin Zou and Yaoping Cui. SPIE, 2024. http://dx.doi.org/10.1117/12.3048749.

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Gan, Weibing, Ajiaikebaier Wulamu, Xiaolong Li, et al. "Pipeline leakage location method based on 1DLKNet and spectrum weighting." In Fourth International Conference on Computational Imaging (CITA 2024), edited by Xiaopeng Shao. SPIE, 2025. https://doi.org/10.1117/12.3056033.

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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 trapezoi
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Huang, Chao, and Xiaoyue Wu. "A Criteria Weighting Method: Intuitionistic Fuzzy Network Method (IFNM)." In 2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2024. http://dx.doi.org/10.1109/imcec59810.2024.10575221.

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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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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), 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), 2012. http://dx.doi.org/10.2172/1128089.

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Adi, Kukuh. Modifying the Simple Additive Weighting Method in Recommending the Best Restaurants Based on Visitor Reviews. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.rnzjdeqz.

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Marthanugraha, Rizki. DECISION SUPPORT SYSTEM FOR SELECTING BOARDING HOUSES FOR STUDENTS IN GRESIK USING THE SAW (SIMPLE ADDITIVE WEIGHTING) METHOD. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.bpkdmoip.1.

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Marthanugraha, Rizki. DECISION SUPPORT SYSTEM FOR SELECTING BOARDING HOUSES FOR STUDENTS IN GRESIK USING THE SAW (SIMPLE ADDITIVE WEIGHTING) METHOD. ResearchHub Technologies, Inc., 2025. https://doi.org/10.55277/researchhub.xelksq2b.1.

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Russell, Ecob. The Asian Mid-life Sample: Methods and Weighting. University of Glasgow, MRC/CSO Social and Public Health Sciences Unit, 1989. https://doi.org/10.36399/gla.pubs.346273.

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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, 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
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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.), 2023. http://dx.doi.org/10.15620/cdc:123463.

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Chan, Gary. Causal Inference with Observational Data in R. Instats Inc., 2022. http://dx.doi.org/10.61700/nudgujitla9qv469.

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Propensity score methods, Inverse probability treatment weighting, and marginal structural models are relatively new and attractive alternatives to RCTs for causal inference using observational data. This seminar, taught by Dr. Gary Chan, offers an introduction to these methods using R with hands-on instruction and exercises so that you can understand and apply these methods in your own research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
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Chan, Gary. Causal Inference with Observational Data in R: Propensity Scores, Inverse Probability Treatment Weighting, and Marginal Structural Models. Instats Inc., 2022. http://dx.doi.org/10.61700/qp1korrfs9hkv469.

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Propensity score methods, Inverse probability treatment weighting, and marginal structural models are relatively new and attractive alternatives to RCTs for causal inference using observational data. This seminar, taught by Dr. Gary Chan, offers an introduction to these methods using R with hands-on instruction and exercises so that you can understand and apply these methods in your own research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers 2 ECTS Equivalent points.
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