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Zeitschriftenartikel zum Thema „WEIGHTING METHOD“

Autor: Grafiati

Veröffentlicht am 11. September 2023

Zuletzt aktualisiert am 25. Juli 2025

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1

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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2

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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3

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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5

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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11

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

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12

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

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13

Zhang, Feng, Zhen Hua Xie, Jiang Tao Cheng, Gao Lun Cui, and Lin Li. "Combination Weighting Method Based on Generalized Mahalanobis Distance and Weighting Relative Entropy." Advanced Materials Research 998-999 (July 2014): 1674–77. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1674.

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Aimed at combination weighting in multiple attribute decision making, a new approach for combining different weighting vectors is proposed. The proposed approach considers the randomicity of weights themselves and the consistency among weighting vectors, constructs a constrained weighted relative entropy model. Aimed at the disadvantage in the TOPSIS based on Euclidean distance, the TOPSIS based on Mahalanobis distance is adopted to solve the coefficients of optimal weight vector. Finally, an example is conducted and the results show the proposed approach is effective and is more reasonable th

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Huang, X., and G. F. West. "Effects of weighting functions on Maslov uniform seismograms: A robust weighting method." Bulletin of the Seismological Society of America 87, no. 1 (1997): 164–73. http://dx.doi.org/10.1785/bssa0870010164.

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Abstract In principle, Maslov theory provides a uniform asymptotic solution for modeling wave fields in a generally inhomogeneous medium by blending ray theory and Maslov transform theory. However, in a real calculation, it is still not clear how choice of the weighting functions that select the ray and Maslov transform solutions will affect the accuracy of Maslov seismograms. To answer this question, we have investigated two weighting functions: One is the hyperbolic function suggested by Brown (1994), and the other is a trigonometric function we propose. The former relates the weights to the

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Li, Junpeng, Yingqiang Xu, and Youwei Liu. "Influence of Initial Yield Strength Weighting on Residual Stresses in Quenched Cylinders Using Finite Element Analysis." Materials 17, no. 23 (2024): 5833. http://dx.doi.org/10.3390/ma17235833.

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Using the quenching process to create a specific residual stress distribution in steel parts is a key method for improving their strength. Although finite element simulation can overcome the time-consuming and labor-intensive limitations of experimental measurements, accurately predicting the residual stress distribution in quenched steel parts remains a challenge for researchers and manufacturers. The initial yield strength weighting scheme used in finite element simulations has a significant impact on the results. To investigate the influence of initial yield strength weighting on the residu

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Yang, Kun, Guang Ming Yang, Yong Huang, and Pan De Jing. "Hydraulic Mental Structure Health Diagnosis Weighting Method." Applied Mechanics and Materials 494-495 (February 2014): 925–31. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.925.

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By means of inductive analysis the health diagnosis weighting methods in engineering, this paper discusses the basic principle, advantages, disadvantages and applicable scope of weighting methods. On the basis, combining with multi-level, multi-standard and multi-factor characteristic of hydraulic metal structures health diagnosis, the methods of AHP, information gain, information diffusion and improved entropy are studied, which are applicable to hydraulic metal structures health diagnosis weighting. Based on fuzzy theory, the fuzzy multi-level comprehensive weighting method is put forward an

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Li, Xian Mao, Gao Ming Huang, and Dong Xia. "Spacial Filter of Weighting Method Based on Spectrum Analyse." Advanced Materials Research 605-607 (December 2012): 1890–96. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1890.

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The selection of a certain scope angle signal in the traditional method is to switch the hard switches in antennas, this paper proposes a method, which based on a weighting method to filter the signal in certain directions, namely spacial filter. With array antennas，the compositive signal can be acquired, by which the phrase and plus (weighting) of each unit antenna’s signal be adjusted and then the signals be added. In different time, signals can be selected in any scope of directions through adjusting each channels by different weighting. The weighting parameters can be obtained through the

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Edy, Budiman. "Importance-weighted Ranking Methods for Preference the Covid-19 Pandemic Social Assistance." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 108–15. https://doi.org/10.35940/ijeat.A1743.1010120.

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Issues importance-weighted value is a critical aspect of decision making. Differences in weight, even the slightest change in weight assignment, can drastically change the final decision. Moreover, in the case of distributing social assistance during the Covid-19 pandemic, objectivity and accuracy of weighting the criteria for potential recipients are very important applied for the welfare of the community. The proposes study 3 popular models of ranking methods for weighting criteria in the internet data package assistance cases. Weighting is given to 390 alternatives with 5 decision-making cr

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张, 丽蓉. "Selection of TOPSIS Method Weights: Comparison of Several Weighting Methods." Statistics and Application 12, no. 04 (2023): 901–9. http://dx.doi.org/10.12677/sa.2023.124095.

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Syahputra, Dedi. "Implementasi Metode Waspas Dengan Pembobotan Roc Dalam Penerimaan Peserta Didik Baru." Management of Information System Journal 3, no. 1 (2024): 33–40. https://doi.org/10.47065/mis.v3i1.1918.

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− The aim of this research is to implement the WASPAS method with weighting using ROC in the process of accepting new students at S Panglima Polem Rantauprapat Middle School. The WASPAS method is used as a framework for evaluating and ranking prospective students based on a number of relevant criteria. ROC is commonly used in performance analysis in the medical and computer science fields to produce more accurate weightings in the selection process. This research will outline the steps for implementing the WASPAS method with ROC weighting, including data collection, identification of criteria,

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Shi, Zhenquan, and Shiping Chen. "A New Knowledge Characteristics Weighting Method Based on Rough Set and Knowledge Granulation." Computational Intelligence and Neuroscience 2018 (May 31, 2018): 1–9. http://dx.doi.org/10.1155/2018/1838639.

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The knowledge characteristics weighting plays an extremely important role in effectively and accurately classifying knowledge. Most of the existing characteristics weighting methods always rely heavily on the experts’ a priori knowledge, while rough set weighting method does not rely on experts’ a priori knowledge and can meet the need of objectivity. However, the current rough set weighting methods could not obtain a balanced redundant characteristic set. Too much redundancy might cause inaccuracy, and less redundancy might cause ineffectiveness. In this paper, a new method based on rough set

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Muhammad Kiko Aulia Reiki, Yuliant Sibaroni, and Erwin Budi Setiawan. "Comparison of Term Weighting Methods in Sentiment Analysis of the New State Capital of Indonesia with the SVM Method." International Journal on Information and Communication Technology (IJoICT) 8, no. 2 (2023): 53–65. http://dx.doi.org/10.21108/ijoict.v8i2.681.

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The relocation of the State Capital to â€œNusantaraâ€, which was inaugurated with the enactment of UU No. 3 of 2022, is a significant project that has sparked polemics among Indonesian citizens. Many people expressed their opinions and thoughts regarding the relocation of the State Capital on Twitter. This tendency of public opinion needs to be identified with sentiment analysis. In sentiment analysis, term weighting is an essential component to obtain optimal accuracy. Various people are trying to modify the existing term weighting to increase the performance and accuracy of the model. One o

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Anderson, L. D., B. Liu, Dana S. Balser, et al. "Methods for Averaging Spectral Line Data." Publications of the Astronomical Society of the Pacific 135, no. 1053 (2023): 114504. http://dx.doi.org/10.1088/1538-3873/ad0444.

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Abstract The ideal spectral averaging method depends on one’s science goals and the available information about one’s data. Including low-quality data in the average can decrease the signal-to-noise ratio (S/N), which may necessitate an optimization method or a consideration of different weighting schemes. Here, we explore a variety of spectral averaging methods. We investigate the use of three weighting schemes during averaging: weighting by the signal divided by the variance (“intensity-noise weighting”), weighting by the inverse of the variance (“noise weighting”), and uniform weighting. Wh

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Miao, Yanping, Zeyang Liu, Xuhe Zheng, Xiaosheng Chen, Xianhui Wang, and Yifan Zeng. "An Improved Water Yield Evaluation Method Based on Partition Variable-Weight Theory." Water 17, no. 4 (2025): 486. https://doi.org/10.3390/w17040486.

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Existing aquifer water richness evaluation methods typically employ fixed indicator weights, failing to account for variations within individual controlling factors or interactions among multiple factors. This study introduces an enhanced water richness index method based on zoned variable weighting theory. Through unified normalization of water inrush controlling factors for each main mining coal seam, construction of variable weighting status vectors, division of unified variable weighting intervals, and determination of vulnerability index zoning thresholds, the method dynamically assigns w

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Goodridge, Wayne S. "Sensitivity Analysis Using Simple Additive Weighting Method." International Journal of Intelligent Systems and Applications 8, no. 5 (2016): 27–33. http://dx.doi.org/10.5815/ijisa.2016.05.04.

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Golubev, Yu, and D. Ostrovski. "Concentration inequalities for the exponential weighting method." Mathematical Methods of Statistics 23, no. 1 (2014): 20–37. http://dx.doi.org/10.3103/s1066530714010025.

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Koh, Jin-Hwan, Xiaowen Xu, Beong-Ju Ryu, Jae-Hun Lee, and Jung-Sup Lee. "Data De-weighting in Matrix Pencil Method." Journal of Korea Information and Communications Society 36, no. 8A (2011): 741–47. http://dx.doi.org/10.7840/kics.2011.36a.8.741.

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Wang, Shuhui, Mingyang Lu, Jidan Mei, and Wenting Cui. "Deconvolved Beamforming Using the Chebyshev Weighting Method." Journal of Marine Science and Application 21, no. 3 (2022): 228–35. http://dx.doi.org/10.1007/s11804-022-00286-7.

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Willems, F. M. J., Y. M. Shtarkov, and T. J. Tjalkens. "The context-tree weighting method: basic properties." IEEE Transactions on Information Theory 41, no. 3 (1995): 653–64. http://dx.doi.org/10.1109/18.382012.

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Mert, Ahmet, Niyazi Kılıç, and Erdem Bilgili. "Random subspace method with class separability weighting." Expert Systems 33, no. 3 (2016): 275–85. http://dx.doi.org/10.1111/exsy.12149.

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Kuzmenko, A. V. "Weighting method of the Fourier-kinoform synthesis." Semiconductor physics, quantum electronics and optoelectronics 11, no. 3 (2008): 303–6. http://dx.doi.org/10.15407/spqeo11.03.303.

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王, 庭芳. "A Weighting Attribute Method for Classification Problems." Advances in Applied Mathematics 09, no. 05 (2020): 752–58. http://dx.doi.org/10.12677/aam.2020.95089.

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Zhou, Tianyue. "Weighting Method for a Linear Mixed Model." Communications in Statistics - Theory and Methods 39, no. 2 (2009): 214–27. http://dx.doi.org/10.1080/03610920802677216.

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Morris, John D. "Selecting a Predictor Weighting Method by Press." Educational and Psychological Measurement 46, no. 4 (1986): 853–69. http://dx.doi.org/10.1177/001316448604600406.

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Bonnet, Laurent, and Jean-Claude Rayez. "Gaussian weighting in the quasiclassical trajectory method." Chemical Physics Letters 397, no. 1-3 (2004): 106–9. http://dx.doi.org/10.1016/j.cplett.2004.08.068.

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Forrest, William F. "Weighting Improves the ‘New Haseman-Elston’ Method." Human Heredity 52, no. 1 (2001): 47–54. http://dx.doi.org/10.1159/000053353.

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Gao, Shesheng, Yongmin Zhong, and Wei Li. "Random Weighting Method for Multisensor Data Fusion." IEEE Sensors Journal 11, no. 9 (2011): 1955–61. http://dx.doi.org/10.1109/jsen.2011.2107896.

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Motomura, Hideto. "Gamut Mapping using Color-Categorical Weighting Method." Color and Imaging Conference 8, no. 1 (2000): 318–23. http://dx.doi.org/10.2352/cic.2000.8.1.art00057.

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Ghazali, Alfin, Poltak Sihombing, and Muhammad Zarlis. "Weighting Comparative Analysis Using Fuzzy Logic and Rank Order Centroid (ROC) in the Simple Additive Weighting (SAW) Method." CESS (Journal of Computer Engineering, System and Science) 7, no. 1 (2021): 1. http://dx.doi.org/10.24114/cess.v7i1.27758.

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Decision Support System Method which is often referred to as the weighted addition method, one of which is Simple Additive Weighting. But the value of the weights in this system is not officially the calculation used. Therefore, usually a number of researchers combine this method with other methods to be more precise and accurate in supporting their decisions. In this study, the authors compare the results of the SAW method between the weighting based on the Fuzzy Logic method and the weighting based on the Rank Order Centroid (ROC) method. The case studied was the number of student satisfacti

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Ferdian, Yuda Ariza, Rahayu Sulistyorini, and Muhammad Karami. "analisis penentuan wilayah Blackspot terjadinya kecelakaan lalu lintas di jalan soekarno-hatta lampung." Jurnal Rekayasa Sipil dan Desain 7, no. 2 (2019): 247–54. https://doi.org/10.23960/jrsdd.v7i2.1170.

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Traffic accidents need to get greater attention. Road accidents always have an impact on damage and losses for vehicles involved in accidents and road users around them. The cause of traffic accidents is due to unfavorable traffic conditions. The condition is divided into 4 factors which include human factors, vehicle factors, environmental factors and road factors.The accident data used in this study are secondary data obtained from the Bandar Lampung Police Department in 2015 to 2017. The methods used are Frequency Method, Highways Weighting Method, INDII-Aus Aid Weighting Method and KSI Met

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Li, Yanjie, Changsheng Cai, and Zhenyu Xu. "A Combined Elevation Angle and C/N0 Weighting Method for GNSS PPP on Xiaomi MI8 Smartphones." Sensors 22, no. 7 (2022): 2804. http://dx.doi.org/10.3390/s22072804.

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Traditionally, an elevation-angle-dependent weighting method is usually used for Global Navigation Satellite System (GNSS) positioning with a geodetic receiver. As smartphones adopt linearly polarized antenna and low-cost GNSS chips, different GNSS observation properties are exhibited. As a result, a carrier-to-noise ratio (C/N0)-dependent weighting method is mostly used for smartphone-based GNSS positioning. However, the C/N0 is subject to the effects of the observation environment, resulting in an unstable observation weight. In this study, we propose a combined elevation angle and C/N0 weig

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Sucipto, Didik Dwi Prasetya та Triyanna Widiyaningtyas. "Α Supervised Hybrid Weighting Scheme for Bloom's Taxonomy Questions using Category Space Density-based Weighting". Engineering, Technology & Applied Science Research 15, № 2 (2025): 22102–8. https://doi.org/10.48084/etasr.10226.

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Question documents organized based on Bloom's taxonomy have different characteristics than typical text documents. Bloom's taxonomy is a framework that classifies learning objectives into six cognitive domains, each having distinct characteristics. In the cognitive domain, different keywords and levels are used to classify questions. Using existing category-based term weighting methods is less relevant because it is only based on word types and not on the main characteristics of Bloom's taxonomy. This study aimed to develop a more relevant term weighting method for Bloom's taxonomy by consider

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Yıldırım, Yıldız, and Melek Gülşah Şahin. "How Do Different Weighting Methods Affect the Overall Effect Size in Meta-Analysis? : An Example of Science Attitude in Türkiye Sample." International Journal of Psychology and Educational Studies 10, no. 3 (2023): 744–57. http://dx.doi.org/10.52380/ijpes.2023.10.3.1049.

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There is increasing interest in meta-analysis in different fields due to the need to combine the results of primary research. One of the crucial concepts in combining results is weighting. This study examines how Hunter and Schmidt's method, weighting by sample size; Hedges and Vevea's method, weighting by inverse variance; and Osburn and Callender's method, unweighting, affect the overall effect size in meta-analysis. In this context, for meta-analysis, the search was done for studies examining the effects of alternative measurement and assessment techniques and methods in science education o

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Hadad, Sitna Hajar, Muksin Hi Abdullah, Nurnela, and Radina Hamza Hairun. "Multi Attribute Decision Making Penentuan Dosen Terbaik Menggunakan Metode Multi-Objective Optimization by Ratio Analysis dan Surrogate Weighting." Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) 3, no. 1 (2024): 24–35. https://doi.org/10.58602/jima-ilkom.v3i1.24.

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The best lecturers are people who not only have high academic expertise in their fields, but also have the ability to inspire and guide students well. The main problem in determining the best lecturer is subjectivity in the evaluation process. Evaluation of lecturer performance often tends to be based on parameters that are qualitative in nature and can be influenced by personal preferences, or subjective perceptions. This study aims to solve problems in the selection of the best lecturers using the MADM approach with the method used, namely MOORA in the selection of the best lecturers and the

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Zheng, Weiqiang, Shixiang Xu, and Zecheng Wang. "Fuzzy Comprehensive Evaluation of Collapse Risk in Mountain Tunnels Based on Game Theory." Applied Sciences 14, no. 12 (2024): 5163. http://dx.doi.org/10.3390/app14125163.

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In view of the problem that mountain tunnel construction is prone to collapse risk and disaster accidents, this paper proposes a fuzzy comprehensive evaluation method based on CRITIC and D-AHP combined weighting, which can effectively improve the accuracy of mountain tunnel collapse risk evaluation and reduce construction risks. This method combines the improved subjective weighting method D-number analytic hierarchy process and the more scientific and reasonable objective weighting method CRITIC method for combined weighting and uses game theory to optimize the weights, which improves its acc

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Alsop, Jonathan, Lawrence Pont, and Martin Scott. "VP90 Which Matching Adjusted Indirect Comparison Method Is Best?" International Journal of Technology Assessment in Health Care 35, S1 (2019): 94–95. http://dx.doi.org/10.1017/s0266462319003350.

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IntroductionMatching adjusted indirect comparison (MAIC) methods are extremely useful when conducting ITCs, as they reduce baseline imbalances between studies, particularly upon patient characteristics that are confounded with treatment. The standard approach when conducting MAIC is that proposed by Signorovitch et al. (2010). However, there are newer, and potentially better, methods available.MethodsThree different MAIC methods (Signorovitch, Entropy Balancing, Polynomial Weighting) were compared using multiple phase 3 RCTs conducted in Diabetic Retinal Edema. The matching ability of each met

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Pan, Shou Hui, Li Wang, Ying Cheng Xu, and Guo Ping Xia. "Improved Web Text Classification Method for Classifying Quality Safety Accidents." Advanced Materials Research 121-122 (June 2010): 996–1001. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.996.

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Web text classification, as one of the fundamental techniques of web mining, plays an important role in the web mining system. An improved term weighting method is proposed in this paper. Besides term frequency, the location of the term is also considered when calculating the weight of a term. Web pages were divided into 4 text blocks and each text block has its location weight. Experimental result shows that the precision of improved term weighting method is higher than traditional term weighting method.

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Ji, Ai Min, Kun Zhu, and Quan Sheng Huang. "Methods Determining the Weights of Characteristics in Mechanical Products Design on Case-Base Reasoning." Applied Mechanics and Materials 138-139 (November 2011): 315–20. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.315.

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In Case-Based Reasoning (CBR), the determination of the weights of case characteristics is the base of the accurate case match, even influences the CBR execution. The current methods of determining the weights of case characteristics include subjective and objective weighting method but, some defects exist in them. In order to decrease subjectivity and increase objectivity of weight determining, the paper presented a new kind of combination weighting method that is the combination of the Analytic Hierarchy Process (AHP) with roughness set theory. The weighting process about AHP, roughness set

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Feng, Xiaolong, Hao Liu, Cheng Zhang, Donghao Han, and Lijie Niu. "Improvement Method of Antenna Negative Sidelobes on Cross Beam Correlation Microwave Radiometer." Remote Sensing 16, no. 7 (2024): 1245. http://dx.doi.org/10.3390/rs16071245.

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A weighting method is proposed for the correlation radiation measurement system based on Mills cross array. The Mills cross array achieves high spatial resolution by the product of two orthogonal fan beams. However, the product power pattern of the Mills cross array lacks a square operation, resulting in sidelobe deterioration and the presence of negative sidelobes. Therefore, a window function is necessary to improve beam performance. However, because of the negative sidelobes, the antenna array is sensitive to the weighting function, and common window functions such as Hanning and Hamming ar

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Sun, Gao Rong. "Stochastic Response Surface Method with Enhanced Weighting Strategy." Applied Mechanics and Materials 224 (November 2012): 272–79. http://dx.doi.org/10.4028/www.scientific.net/amm.224.272.

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The weighted stochastic response surface method (WSRSM) has been demonstrated to be effective in improving the accuracy of the estimation of statistical moments and probability of failure (PoF) upon the stochastic response surface method (SRSM). However, it has been noticed that the weighting method in WSRSM may have little and sometimes negative impact on PoF estimation especially in the cases of low PoF. To address this issue, an enhanced weighting strategy is proposed that the weights of sample points are determined based on their importance not only to regression but also to PoF estimation

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