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1

Martishkin, V. V., and N. N. Prilepina. "Expert subjectivism accounting method at quality estimation." Izvestiya MGTU MAMI 5, no. 1 (2011): 295–303. http://dx.doi.org/10.17816/2074-0530-70049.

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This paper describes a method allowing to take into account the subjectivism of experts while estimating the quality of technical products. Subjectivism in the quality estimation is perceived as the influence of external environment described by the errors of 1-st and 2-nd kind. We show that subjectivity can not be accurately assessed based on the classical (two-dimensional) measurement logic. More accurate are the calculations based on four-digit logic of measurements, in which besides judgments like «true statement» and «true negation», there are two additional ones: «false allegation» and «
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2

Zhigirev, N. N., A. V. Bochkov, and A. V. Kuzminova. "Inversion method of consistency measure estimation expert opinions." Dependability 23, no. 4 (2023): 15–24. http://dx.doi.org/10.21683/1729-2646-2023-23-4-15-24.

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Aim. The problem of collective choice is the problem of combining several individual experts’ opinions about the order of preference of objects (alternatives) being compared into a single “group” preference. The complexity of collective choice consists in the requirement of processing the ratings of the compared alternatives set by different experts in their own private scales. The paper presents an original algorithm for processing expert preferences in respect to the problem of collective choice based on the concept of the overall “error” of the experts and measuring their contribution to th
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Tetyana, Otradska, Shybaieva Natalia, Shyrshkov Oleksandr, Rudnichenko Mykola, and Halustian Ashot. "DEVELOPMENT OF THE METHOD OF DISTANCES FOR PROCESSING EXPERT ESTIMATES IN INFORMATION SYSTEMS." Eastern-European Journal of Enterprise Technologies 2, no. 3 (98) (2019): 40–47. https://doi.org/10.15587/1729-4061.2019.163964.

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Current research focuses on expert estimation of indicators by employing a limited number of qualified experts, which involves considerable time and cost. The advent of modern information technology allows rapid and efficient assessment of indicators that characterize performance of enterprises. The main tool for solving the issue related to the credibility of such an estimation is the development of new methods for processing its results. We have proposed a method of distances to treat the results from expert estimations of indicators and examined the results of its work. To this end, theoret
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Kenyeres, Éva, and János Abonyi. "Model-Centric Integration of Uncertain Expert Knowledge into Importance Sampling-Based Parameter Estimation." Applied Sciences 14, no. 21 (2024): 9652. http://dx.doi.org/10.3390/app14219652.

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This study presents a model-based parameter estimation method for integrating and validating uncertainty in expert knowledge and simulation models. The parameters of the models of complex systems are often unknown due to a lack of measurement data. The experience-based knowledge of experts can substitute missing information, which is usually imprecise. The novelty of the present paper is a method based on Monte Carlo (MC) simulation and importance sampling (IS) techniques for integrating uncertain expert knowledge into the system model. Uncertain knowledge about the model parameters is propaga
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Tharwon, Arnuphaptrairong. "Enhancing Delphi Method with Algorithmic Estimates for Software Effort Estimation: An Experimental Study." International Journal of Software Engineering & Applications (IJSEA) 12, no. 4 (2021): 1–18. https://doi.org/10.5281/zenodo.5157639.

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Literature review shows that more accurate software effort and cost estimation methods are needed for software project management success. Expert judgment and algorithmic model estimation are two predominant methods discussed in the literature. Both are reported almost at the comparable level of accuracy performance. The combination of the two methods is suggested to increase the estimation accuracy. Delphi method is an encouraging structured expert judgment method for software effort group estimation but surprisingly little was reported in the literature. The objective of this study is to tes
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6

Doğan, Nuri, Ronald K. Hambleton, Meltem Yurtcu, and Sinan Yavuz. "The comparison of differential item functioning predicted through experts and statistical techniques." Cypriot Journal of Educational Sciences 13, no. 2 (2018): 137–48. http://dx.doi.org/10.18844/cjes.v13i2.2427.

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Validity is one of the psychometric properties of the achievement tests. To determine the validity, one of the examinations is item bias studies, which are based on Differential Item Functioning (DIF) analyses and field experts’ opinion. In this study, field experts were asked to estimate the DIF levels of the items to compare the estimations obtained from different statistical techniques. Firstly, the experts were asked to examine the questions and make the DIF level estimations according to the gender variable for the DIF estimation, and the agreement of the experts was examined. Secondly, D
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7

Kuznetsov, M. P., and V. V. Strijov. "Methods of expert estimations concordance for integral quality estimation." Expert Systems with Applications 41, no. 4 (2014): 1988–96. http://dx.doi.org/10.1016/j.eswa.2013.08.095.

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8

Marquardt, Kyle L., Daniel Pemstein, Brigitte Seim, and Yi-ting Wang. "What makes experts reliable? Expert reliability and the estimation of latent traits." Research & Politics 6, no. 4 (2019): 205316801987956. http://dx.doi.org/10.1177/2053168019879561.

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Experts code latent quantities for many influential political science datasets. Although scholars are aware of the importance of accounting for variation in expert reliability when aggregating such data, they have not systematically explored either the factors affecting expert reliability or the degree to which these factors influence estimates of latent concepts. Here we provide a template for examining potential correlates of expert reliability, using coder-level data for six randomly selected variables from a cross-national panel dataset. We aggregate these data with an ordinal item respons
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9

Albayrak, Nur Banu, and Yusuf Sinan Akgul. "Estimation of the Prostate Volume from Abdominal Ultrasound Images by Image-Patch Voting." Applied Sciences 12, no. 3 (2022): 1390. http://dx.doi.org/10.3390/app12031390.

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Estimation of the prostate volume with ultrasound offers many advantages such as portability, low cost, harmlessness, and suitability for real-time operation. Abdominal Ultrasound (AUS) is a practical procedure that deserves more attention in automated prostate-volume-estimation studies. As the experts usually consider automatic end-to-end volume-estimation procedures as non-transparent and uninterpretable systems, we proposed an expert-in-the-loop automatic system that follows the classical prostate-volume-estimation procedures. Our system directly estimates the diameter parameters of the sta
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10

Pashkevich, L. A. "ESTIMATION OF QUALITY AND COMPETITIVENESS OF DISHWASHING LIQUIDS WITH THE EXPERT-GRAPHIC METHOD." Education and Science without Limits: Fundamental and Applied Researches, no. 10 (November 25, 2019): 203–8. http://dx.doi.org/10.36683/2500-249x-2019-10-203-208.

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The research the purpose of which was in estimation of quality and competitiveness of dishwashing liquids was carried out. The research was carried out with expert-graphic method. In the article the results of efficiency estimation of dishwashing liquids by means of carrying out “plate’ test, and the results of expert estimation of marking informativeness, design and package convenience and price are presented. On the basis of score estimation of quality indicators and competitiveness of dishwashing means the competitiveness radar was constructed.
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Dorohan-Pysarenko, Liudmyla, Rafał Rębilas, Olena Yehorova, Ilona Yasnolob, and Zhanna Kononenko. "Methodological peculiarities of probability estimation of bankruptcy of agrarian enterprises in Ukraine." Agricultural and Resource Economics: International Scientific E-Journal 7, no. 2 (2021): 20–39. http://dx.doi.org/10.51599/are.2021.07.02.02.

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Purpose. The purpose of the study is to develop the concept of complex estimation of bankruptcy probability of agrarian enterprises in Ukraine, taking into account the specifics of agricultural activities.
 Methodology / approach. To achieve the purpose, the following research methods were used: abstract-logical (at disclosing the essence of the concept of “bankruptcy”); dialectical (for theoretical generalizations on determining the problems and ways to overcome them, drawing conclusions); expert estimations, comparative analysis, analysis and synthesis (at developing the concept of esti
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12

Arnuphaptrairong, Tharwon. "Enhancing Delphi Method with Algorithmic Estimates for Software Effort Estimation: An Experimental Study." International Journal of Software Engineering & Applications 12, no. 04 (2021): 01–18. http://dx.doi.org/10.5121/ijsea.2021.12401.

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Literature review shows that more accurate software effort and cost estimation methods are needed for software project management success. Expert judgment and algorithmic model estimation are two predominant methods discussed in the literature. Both are reported almost at the comparable level of accuracy performance. The combination of the two methods is suggested to increase the estimation accuracy. Delphi method is an encouraging structured expert judgment method for software effort group estimation but surprisingly little was reported in the literature. The objective of this study is to tes
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13

Konstantin, Petrov, Kobzev Igor, Orlov Oleksandr, Kosenko Victor, Kosenko Alisa, and Vanina Yana. "Devising a method for identifying the model of multi-criteria expert estimation of alternatives." Eastern-European Journal of Enterprise Technologies 4, no. 3 (112) (2021): 56–65. https://doi.org/10.15587/1729-4061.2021.238020.

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An approach to constructing mathematical models of individual multicriterial estimation was proposed based on information about the ordering relations established by the expert for a set of alternatives. Structural identification of the estimation model using the additive utility function of alternatives was performed within axiomatics of the multi-attribute utility theory (MAUT). A method of parametric identification of the model based on the ideas of the theory of comparative identification has been developed. To determine the model parameters, it was proposed to use the midpoint method that
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14

Tikhomirova, Anna, and Elena Matrosova. "Peculiarities of Expert Estimation Comparison Methods." Procedia Computer Science 88 (2016): 163–68. http://dx.doi.org/10.1016/j.procs.2016.07.420.

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15

Naderpour, A., J. M. Sardroud, and M. Mofid. "Application of Fuzzy Expert Systems to Manage the Projects Time in Iranian Gas Refineries." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1670–75. https://doi.org/10.5281/zenodo.809259.

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The National Iranian Gas Company (NIGC) is one of the top ten gas companies in the gas industry in the Middle East and is comprised of 7 gas refineries. So this company needs to apply the most optimum time management methods to achieve its goals. Custom scheduling calculation of project planning uses the Critical Path Method (CPM) as a tool for Planning Projects activities. CPM is now widely used in planning and managing projects but in spite of its wide application, this method has a critical weak point of not taking into account the uncertainties in scheduling calculation. This article aims
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16

Rola and Kuchta. "Application of Fuzzy Sets to the Expert Estimation of Scrum-Based Projects." Symmetry 11, no. 8 (2019): 1032. http://dx.doi.org/10.3390/sym11081032.

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The paper is basically dedicated to the problem of effort estimation for the Product Backlog items of IT projects led accordingly to the Scrum framework. The effort estimation issue is important, because low quality estimation decreases the efficiency of project implementation. The paper proposes an estimation method for the Product Backlog items of Scrum-based IT projects (which can be adapted also to other projects), which has two original elements with respect to the state of art in Scrum estimation: the usage of fuzzy numbers and strict rules for consensus forming, combined with a space fo
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17

Holliman, Alexander 'Freddie', Avril Thomson, and Abigail Hird. "ESTIMATING DESIGN EFFORT NEEDS OF PRODUCT DESIGN PROJECTS USING CAPTURED EXPERT KNOWLEDGE – A PROPOSED METHOD." Proceedings of the Design Society 1 (July 27, 2021): 1391–400. http://dx.doi.org/10.1017/pds.2021.139.

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AbstractThe quick and accurate estimation of design effort can be make or break for all but the largest of product design consultancies. Traditional design project planning see designers being taken away from the metaphorical drawing board to spend time assessing project briefs and estimating workloads. Typically these designers base these estimates on their tacit knowledge and experience, and for the most part, they are accurate. However, this is time-consuming and therefore (indirectly) costly, as time spent planning, is not time spent designing. Many more sophisticated approaches for estima
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18

Shulga, T. E., and D. E. Khramov. "Software System Architecture for Estimating Software Development Time." Programmnaya Ingeneria 15, no. 9 (2024): 476–84. http://dx.doi.org/10.17587/prin.15.476-484.

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The article is devoted to the issues of estimating the duration of software development, the solution of which can significantly improve the efficiency of software projects. The relevance of the topic is conditioned by the rapid development of software development methodologies, on which the existing algorithms of such estimation depend, and, as a consequence, by the rapid obsolescence of approaches to solving this problem. A systematic analysis of the main algorithms for estimating software development duration is carried out. The classification of such algorithms is presented. The algorithm
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19

Nguyen, Hoang. "Subjective Risk Estimation of the Rare Event." Journal of KONES 26, no. 1 (2019): 103–10. http://dx.doi.org/10.2478/kones-2019-0013.

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Abstract In the safety engineering, the most frequently disadvantage in risk estimation is the lack of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, they may have uncertainty in the perceiving and evaluation of the problem considered or limited knowledge of the rare events, such as the consequences of the seagoing ship propulsion failures. The probabilistic models of the risk estimation turn out to be insufficient in modelling the subjective uncertainty. The
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20

Petrov, Konstantin, Igor Kobzev, Oleksandr Orlov, Victor Kosenko, Alisa Kosenko, and Yana Vanina. "Devising a method for identifying the model of multi-criteria expert estimation of alternatives." Eastern-European Journal of Enterprise Technologies 4, no. 3(112) (2021): 56–65. http://dx.doi.org/10.15587/1729-4061.2021.238020.

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An approach to constructing mathematical models of individual multicriterial estimation was proposed based on information about the ordering relations established by the expert for a set of alternatives. Structural identification of the estimation model using the additive utility function of alternatives was performed within axiomatics of the multi-attribute utility theory (MAUT). A method of parametric identification of the model based on the ideas of the theory of comparative identification has been developed. To determine the model parameters, it was proposed to use the midpoint method that
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21

Bochkov, A. V. "Method of using the transitive graph of a Markovian process as part of ranking of heterogeneous items." Dependability 21, no. 1 (2021): 11–16. http://dx.doi.org/10.21683/1729-2646-2021-21-1-11-16.

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Hierarchy analysis developed by Thomas Saaty is a closed logical structure that uses simple and well-substantiated rules that allow solving multicriterial problems that include both quantitative, and qualitative factors, whereby the quantitative factors can differ in terms of their dimensionality. The method is based on problem decomposition and its representation as a hierarchical arrangement, which allows including into such hierarchy all the knowledge the decision-maker has regarding the problem at hand and subsequent processing of decision-makers’ judgements. As the result, the relative de
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VOVK, Volodymyr, and Olena HAVRYLCHENKO. "ESTIMATION OF EXPORT POTENTIAL OF THE ENTERPRISE ON THE BASIS OF CALCULATION OF AN INTEGRATED INDICATOR OF ITS DEVELOPMENT." Ukrainian Journal of Applied Economics 5, no. 1 (2020): 115–22. http://dx.doi.org/10.36887/2415-8453-2020-1-14.

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Introduction. Assessment of export potential is the basis for the development and adoption of management decisions in managing the development of export activities of the enterprise, which is one of the promising areas of foreign policy of our state. The purpose of the article is to substantiate the method of estimating the export potential of the enterprise on the basis of key indicators of development of its export activity, taking into account the obtained results to form general directions of the enterprise's export intensification. Results. In order to determine the indicators that should
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Dharmarathne, Gayan, Gabriela F. Nane, Andrew Robinson, and Anca M. Hanea. "Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation." Forecasting 5, no. 3 (2023): 522–35. http://dx.doi.org/10.3390/forecast5030029.

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Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts’ elicited probability distributions of uncertain quantities. Experts’ weights are commonly derived from calibration experiments based on the experts’ performance scores, where performance is evaluated in terms of the calibration and the informativeness of the elicited distributions. This is referred to as Cooke’s method, or the classical model (CM), for aggregating probabilistic expert judgments. The performance scores are derived from experiments, so they are uncertain and, theref
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Zheng, Zhuobin, Chun Yuan, Xinrui Zhu, et al. "Self-Supervised Mixture-of-Experts by Uncertainty Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5933–40. http://dx.doi.org/10.1609/aaai.v33i01.33015933.

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Learning related tasks in various domains and transferring exploited knowledge to new situations is a significant challenge in Reinforcement Learning (RL). However, most RL algorithms are data inefficient and fail to generalize in complex environments, limiting their adaptability and applicability in multi-task scenarios. In this paper, we propose SelfSupervised Mixture-of-Experts (SUM), an effective algorithm driven by predictive uncertainty estimation for multitask RL. SUM utilizes a multi-head agent with shared parameters as experts to learn a series of related tasks simultaneously by Deep
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Shi, Xia. "Calculation of VaR with the Bootstrap Method Based on Experts Predict in Mechanical Engineering." Advanced Materials Research 681 (April 2013): 60–64. http://dx.doi.org/10.4028/www.scientific.net/amr.681.60.

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Based on GARCH model to catch the financial data of auto correlation and volatility clustering, while the use of expert predictive value and the short term newer data using the Bootstrap method for Vary estimation. Through the SSE Composite Index of empirical research, the results show that this method can avoid the old data invalid information, at the same time the financial experts forecast was introduced risk management, improve the accuracy of the computation
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Frolova, E. A., E. G. Semenova, Ya A. Ivakin, and M. S. Smirnova. "METHOD OF MULTIPARAMETRIC QUALITY ESTIMATION BASED ON SOFT COMPUTING." Issues of radio electronics 1, no. 7 (2019): 25–30. http://dx.doi.org/10.21778/2218-5453-2019-7-25-30.

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The method of multi-level quality assessment of interactive electronic technical manuals for aeronautical engineering contains the main approaches and instrumental base for the implementation of a multi-parametric assessment of the quality of electronic content of these manuals. The purpose of assessing the quality of interactive electronic technical manuals for aviation equipment is to obtain a consolidated conclusion on the degree of satisfaction of the need to create interactive electronic technical manuals in the conditions of unclear initial data used for the assessment received from expe
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Kaplin, R. B., and O. V. Аnishchenko. "EVALUATION OF ENTERPRISES SHARES VALUES AT THE MODERN STAGE WHEN CARRYING OUT FORENSIC EXAMINATIONS." Theory and Practice of Forensic Science and Criminalistics 17 (November 29, 2017): 332–38. http://dx.doi.org/10.32353/khrife.2017.42.

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Share value as a security is a money equivalent of its definite investment qualities and management possibilities which depends on concrete goals and methods of evaluation. Determination of the market value of enterprise shares may be realized by estimation which is carried out by an estimator who has the corresponding qualification certificate of the State Property Fund, or by carrying out forensic examination which is fulfilled by forensic experts having corresponding qualification certificates of the Ministry of Justice of Ukraine and entered in the Register of certified forensic experts. A
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Manusov, Vadim, Aysulu Kalanakova, Javod Ahyoev, Inga Zicmane, Seepana Praveenkumar, and Murodbek Safaraliev. "Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median." Inventions 8, no. 1 (2023): 28. http://dx.doi.org/10.3390/inventions8010028.

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At present, diagnostics of the current technical condition of high-voltage power equipment in power systems have become more important. This allows the estimation of the real technical condition of power equipment more accurately with its removal into repair based on the results of the diagnostics. This paper presents the comparative analysis of expert evaluations with the use of the arithmetical mean and median values of expert evaluations. In this case, individual expert opinions, influenced by a level of competence, correspond to each other in a different manner, depending on the applied ap
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Petrov, K. E., A. O. Deineko, O. V. Chala, and I. Yu Panfоrova. "THE METHOD OF ALTERNATIVE RANKING FOR A COLLECTIVE EXPERT ESTIMATION PROCEDURE." Radio Electronics, Computer Science, Control, no. 2 (September 8, 2020): 84–94. http://dx.doi.org/10.15588/1607-3274-2020-2-9.

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Huang, Anqiang, Kin Keung Lai, Han Qiao, Shouyang Wang, and Zhenji Zhang. "Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports." International Journal of Information Technology & Decision Making 17, no. 02 (2018): 467–83. http://dx.doi.org/10.1142/s0219622017500456.

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Substantial studies integrating experts’ point knowledge with statistical forecasting modes have been implemented to investigate a long-lasting and disputing issue which is whether or not expert knowledge could improve forecasting performance. However, a large body of current forecasting studies neglect the application of experts’ interval knowledge where experts are expected to be more competent, considering that humans do much better in fuzzy calculation like interval estimation than in accurate computation like point estimation. To fill in this gap, this paper first proposes a novel forecas
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VORONIN, S. A., G. N. LAKHVITSKY, S. V. REPIN, and A. P. SATIN. "Using the expert estimation method in assessing labor costs of the State Fire Supervision personnel." Fire and Emergencies: prevention, elimination 1 (2023): 78–88. http://dx.doi.org/10.25257/fe.2023.1.78-88.

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Purpose. The problem of determining labor costs and regulating the number of the supervision units has not been fully investigated, but taking into account the current situation of uncertainty and the accumulation of unfulfilled functions within the framework of the current legislation, it is relevant and in demand. The authors investigated various methods for increasing the efficiency of the working time fund distribution, including by increasing the number of employees. As part of the general study, the authors selected experts to develop a questionnaire containing regulated types of work an
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Azzolina, Danila, Paola Berchialla, Silvia Bressan, Liviana Da Dalt, Dario Gregori, and Ileana Baldi. "A Bayesian Sample Size Estimation Procedure Based on a B-Splines Semiparametric Elicitation Method." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 14245. http://dx.doi.org/10.3390/ijerph192114245.

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Sample size estimation is a fundamental element of a clinical trial, and a binomial experiment is the most common situation faced in clinical trial design. A Bayesian method to determine sample size is an alternative solution to a frequentist design, especially for studies conducted on small sample sizes. The Bayesian approach uses the available knowledge, which is translated into a prior distribution, instead of a point estimate, to perform the final inference. This procedure takes the uncertainty in data prediction entirely into account. When objective data, historical information, and liter
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Burkov, V. N., I. V. Burkova, and A. V. Shchepkin. "METHOD OF SYNTHESIS OF THE INTEGRATED ASSESSMENT SYSTEM." Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics 20, no. 4 (2020): 63–73. http://dx.doi.org/10.14529/ctcr200407.

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Systems of complex estimation (CO) based on a dichotomous tree of criteria and a set of criteria convolution matrices (generalized criteria) are widely used in the evaluation of a wide variety of ob-jects. Purpose of the study. To build a CO system for a given set of criteria, you need to solve two problems: 1. To choose the structure of the dichotomous tree of criteria. 2. To define matrix convolutions of pairs of criteria (generalized criteria) at each vertex of the tree (except for hanging ones). The article deals with the second problem, i.e. the problem of determining matrices the criteri
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Widyaningsih, Maura, and Rio Gunadi. "Dempster Shafer Untuk Sistem Diagnosa Gejala Penyakit Kulit Pada Kucing." Jurnal SAINTEKOM 7, no. 1 (2017): 81. http://dx.doi.org/10.33020/saintekom.v7i1.24.

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Expert System which is a branch of Artifical Intelligence, who learned about the estimation or decision-making ability of an expert. Methods and concepts are still needed in solving the problem of diagnosis, with engineering calculations involve computing systems., given the level of need for information and resolving cases. The application development is aimed at implementing the knowledge of an expert into a program that can help in diagnosing the symptoms of skin health problems in cats. Dempster Shafer (DS) is a method that is non monotonous in solving the problem of uncertainty due to the
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Rabiei, Elaheh, Lixian Huang, Hao-Yu Chien, et al. "Method and software platform for electronic COTS parts reliability estimation in space applications." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 235, no. 5 (2021): 744–60. http://dx.doi.org/10.1177/1748006x21998231.

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Adoption of electronic Commercial-Off-The-Shelf (COTS) parts in various industrial products is rapidly increasing due to the accessibility and appealing lower cost of these commodities. Depending on the type of application, having an accurate understanding of the COTS failure information can be crucial to ensure the reliability and safety of the final products. On the other hand, frequent large-scale testing is often cost prohibitive and time consuming for emerging technologies, especially in the consumer electronics sector where minimizing time-to-market and cost is critical. This paper prese
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Aleksanova, T. N. "METHOD OF ORGANIZATION OF DEMONSTRATIONAL EXAMINATION UNDER THE STANDARDS OF WORLDSKILLS RUSSIA." Education and Science without Limits: Fundamental and Applied Researches, no. 10 (November 25, 2019): 252–55. http://dx.doi.org/10.36683/2500-249x-2019-10-252-255.

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Demonstrational examination is the procedure of estimation of the knowledge level, abilities level and the level of practical skills. During demonstrational examination, the participants are suggested real industrial situations. Examinations are taken in the special centres. The basic con-cepts used in the article are a set of evaluative documents, eSim system, technical specification, in-frastructural paper, the Chief Expert, the expert of demonstrational examination under the stand-ards of WorldSkills.
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Chen, Ya Ling, and Chien Chou Lin. "Fuzzy System for DOA Estimation of Coherent Signals." Applied Mechanics and Materials 427-429 (September 2013): 575–81. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.575.

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This paper presents an efficient direction-of-arrival (DOA) Estimator for dealing with coherent signals. The empirical results show that significant performance degradation occurs when coherent signals coexist. Therefore, an utilizes the low sensitivity of Bartlett algorithm in estimation of DOAs for coherent signals to yield a low-resolution estimation of DOAs as initial search angle and uses fuzzy logic systems with incorporating expert knowledge to improve the resolution and performance of estimation of DOAs in coherent signals environment. Finally, numerical example was analyzed to illustr
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Hughes, Robert T. "Expert judgement as an estimating method." Information and Software Technology 38, no. 2 (1996): 67–75. http://dx.doi.org/10.1016/0950-5849(95)01045-9.

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Castillo, Louise IR, M. Erin Browne, Thomas Hadjistavropoulos, Kenneth M. Prkachin, and Rafik Goubran. "Automated vs. manual pain coding and heart rate estimations based on videos of older adults with and without dementia." Journal of Rehabilitation and Assistive Technologies Engineering 7 (January 2020): 205566832095019. http://dx.doi.org/10.1177/2055668320950196.

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Introduction Technological advances have allowed for the estimation of physiological indicators from video data. FaceReader™ is an automated facial analysis software that has been used widely in studies of facial expressions of emotion and was recently updated to allow for the estimation of heart rate (HR) using remote photoplethysmography (rPPG). We investigated FaceReader™-based heart rate and pain expression estimations in older adults in relation to manual coding by experts. Methods Using a video dataset of older adult patients with and without dementia, we assessed the relationship betwee
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Ihor, Honcharenko, Anishchenko Lyudmula, and Pisnia Leonid. "EXPERT-ANALYTICAL ESTIMATION OF ENVIRONMENTAL SAFETY OF SOLID HOUSEHOLD WASTE HANDLING PROCESSES." Eastern-European Journal of Enterprise Technologies 1, no. 10 (103) (2020): 63–76. https://doi.org/10.15587/1729-4061.2020.197007.

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One of the key indicators of regional development is environ- mentally safe handling of waste including household waste. Solving the problems in this domain requires the creation of an efficient household waste management system. A mechanism for solving this problem was proposed in this study. In contrast to the existing ones, it comprehensively takes into account the formation of environmen- tal hazards at all stages of the waste handling life cycle and substan- tiates and identifies priorities of obligatory management measures to be taken at local, regional and national levels with their qua
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Lad, Bhupesh Kumar, and Makarand S. Kulkarni. "A parameter estimation method for machine tool reliability analysis using expert judgement." International Journal of Data Analysis Techniques and Strategies 2, no. 2 (2010): 155. http://dx.doi.org/10.1504/ijdats.2010.032455.

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Mykola, Kosterev, Litvinov Volodymyr, and Kilova Kateryna. "CONSTRUCTION OF MODELS FOR ESTIMATING THE TECHNICAL CONDITION OF A HYDROGENERATOR USING FUZZY DATA ON THE STATE OF ITS LOCAL NODES." Eastern-European Journal of Enterprise Technologies 5, no. 8 (101) (2019): 45–52. https://doi.org/10.15587/1729-4061.2019.180211.

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The task on estimating the technical condition of a hydrogenerator under conditions of fuzzy information has been resolved. To this end, a series of models have been constructed for the integrated estimation of the technical condition of a hydrogenerator based on data about the states of its local nodes. The technical states of local nodes are determined based on the earlier devised fuzzy models of the Mamdani type and represent the fuzzy values, which was taken into consideration in the model for estimating technical condition of a hydrogenerator. The fuzzy methods by Mamdani, Sugeno, Zadeh,
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Bianco, Laura, James M. Wilczak, and Allen B. White. "Convective Boundary Layer Depth Estimation from Wind Profilers: Statistical Comparison between an Automated Algorithm and Expert Estimations." Journal of Atmospheric and Oceanic Technology 25, no. 8 (2008): 1397–413. http://dx.doi.org/10.1175/2008jtecha981.1.

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Abstract A previous study showed success in determining the convective boundary layer depth with radar wind-profiling radars using fuzzy logic methods, and improvements to the earlier work are discussed. The improved method uses the Vaisala multipeak picking (MPP) procedure to identify the atmospheric signal in radar spectra in place of a fuzzy logic peak picking procedure that was previously used. The method then applies fuzzy logic techniques to calculate the depth of the convective boundary layer. The planetary boundary layer depth algorithm is improved with respect to the one used in the p
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Hadorn, David, Giorgi Kvizhinadze, Lucie Collinson, and Tony Blakely. "USEOF EXPERT KNOWLEDGE ELICITATION TO ESTIMATE PARAMETERS IN HEALTH ECONOMIC DECISION MODELS." International Journal of Technology Assessment in Health Care 30, no. 4 (2014): 461–68. http://dx.doi.org/10.1017/s0266462314000427.

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Objectives: The aim of this study was to determine the prevalence and methods of expert knowledge elicitation (EKE) for specifying input parameters in health economic decision models (HEDM).Methods: We created two samples using the National Health System Economic Evaluations Database: (1) 100 randomly selected HEDM studies to determine prevalence of EKE and (2) sixty studies using a formal EKE process to determine methods used.Results: Fifty-seven (57 percent) of the random sample included at least one EKE-derived parameter. Of these, six (10 percent) used a formal expert process. Thirty-four
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Drevitska, O. O., V. Ya Pishel, and M. Yu Polyvyana. "New opportunities for using the test “Prognoz”." Archives of psychiatry 25, no. 2 (2019): 118–19. http://dx.doi.org/10.37822/2410-7484.2019.25.2.118-119.

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Background. For the detection of violations of mental responses in military offices, use the “Prognoz” test. At the total score of this test, experts make a decision on limiting the service in the troops. However, not all questions of the test are equally important for the diagnosis of mental disorders of the psychotic level.
 By the amount of points should be not recognize the beginning of a psychotic disorder. Therefore, the “Prognoz” questionnaire has an additional reserve for the detection of psychotic disorders, if the psychologist and /or psychiatrist pay special attention to the sp
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Gottschalk, Petter, and Gunnesdal Lars. "Expert Elicitation to Estimate the Size of an Iceberg based on the Tip: Some Methodological Challenges in Determining the Magnitude of White-Collar Crime." International Journal of Criminal Justice Sciences 12, no. 2 (2017): 224–36. https://doi.org/10.5281/zenodo.1034666.

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Expert elicitation is a research method designed to make estimations in areas where we have no knowledge, only indicators and experiences. By systematic interviews of experts, we tried to estimate the magnitude of white-collar crime in Norway. On our way to a final answer, we were faced with a number of obstacles in our research design. This article reports from our research journey by communicating our learning from methodological challenges when applying expert elicitation to estimate the size of an iceberg based on knowledge about the tip of the iceberg. In particular, participation refusal
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Naderpour, A., J. M. Sardroud, and M. Mofid. "Application of Fuzzy Expert Systems to Manage the Projects Time in Iranian Gas Refineries." Engineering, Technology & Applied Science Research 7, no. 3 (2017): 1670–75. http://dx.doi.org/10.48084/etasr.1138.

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The National Iranian Gas Company (NIGC) is one of the top ten gas companies in the gas industry in the Middle East and is comprised of 7 gas refineries. So this company needs to apply the most optimum time management methods to achieve its goals. Custom scheduling calculation of project planning uses the Critical Path Method (CPM) as a tool for Planning Projects activities. CPM is now widely used in planning and managing projects but in spite of its wide application, this method has a critical weak point of not taking into account the uncertainties in scheduling calculation. This article aims
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Yu, Songsong, Yifan Wang, Yunzhi Zhuge, Lijun Wang, and Huchuan Lu. "DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 7 (2024): 6817–25. http://dx.doi.org/10.1609/aaai.v38i7.28506.

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This paper aims to design monocular depth estimation models with better generalization abilities. To this end, we have conducted quantitative analysis and discovered two important insights. First, the Simulation Correlation phenomenon, commonly seen in long-tailed classification problems, also exists in monocular depth estimation, indicating that the imbalanced depth distribution in training data may be the cause of limited generalization ability. Second, the imbalanced and long-tail distribution of depth values extends beyond the dataset scale, and also manifests within each individual image,
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Sabadash, I. V. "SPECIFICS OF THE MARKET VALUE DETERMINATION OF THE EQUIPMENT USED IN NUCLEAR POWER STATIONS." Theory and Practice of Forensic Science and Criminalistics 18 (December 26, 2018): 504–11. http://dx.doi.org/10.32353/khrife.2018.58.

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Execution of examinations to determine the market cost of the equipment that is used on Ukrainian nuclear power stations is quite complicated process, since this equipment is unique, manufactured to individual order. For today practical aspects of the specified property estimation, unfortunately, researchers were not properly shined. Considering expert practice at definition of market cost of the equipment used on Ukrainian atomic power stations, merchandising experts face the following problems as identification of research object, choice of research method, substantiation and choice of metho
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Pavlov, Alexander V. "Efficiency of team time estimation in project development." Accounting and control 9 (2025): 23–29. https://doi.org/10.36871/u.i.k.2025.09.01.003.

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This article discusses modern approaches to task completion time estimation, their strengths and weaknesses, and the impact of various factors on accuracy. Methods such as expert judgment, analogy, and statistical methods are considered, and examples of best practices that minimize the risks associated with estimation errors and improve the overall performance of the team are given. The complexity of time estimation is influenced by factors such as developer experience, task complexity, technical and organizational barriers, and subjective biases. The article describes several estimating metho
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