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Journal articles on the topic 'Multi-criteria estimation'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Sveshnikov, Sergey, Victor Bocharnikov, Anatoly Pavlikovsky, and Andrey Prima. "Estimating the potential willingness of the state to use military force based on the Sugeno fuzzy integral." Yugoslav Journal of Operations Research, no. 00 (2022): 2. http://dx.doi.org/10.2298/yjor210515002s.

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Estimation of the potential willingness of the state to use military force is an integral part of the analysis of international relations and the preparation of key decisions in security sphere. Our problem was to develop a method for numerically estimating the potential willingness of any state to use military force. This method should take into account a large number of quantitative and qualitative criteria, the uncertainty of their relationships, as well as the uncertainty of the initial data, some of which can only be obtained with the help of experts. Our analysis has shown that the known

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Natalia, Bordiug. "Criteria and formation levels of professional competences of specialists of the nature protection branch in ecological monitoring." ScienceRise: Pedagogical Education, no. 4(31) (July 31, 2019): 4–7. https://doi.org/10.15587/2519-4984.2019.174106.

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During the study there were elaborated criteria and estimation levels of the multi-step system of training specialists of the nature protection branch for ecological monitoring: for future specialists and professionals by the formation level of professional competences in ecological monitoring; for specialists of the nature protection branch by the level of readiness to the professional activity. There was constructed a criteria-level scale for estimating future competences formation of future specialists that includes motivational, theoretical-methodological and analytical-practical criteria.

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Livneh, B., and D. P. Lettenmaier. "Multi-criteria parameter estimation for the unified land model." Hydrology and Earth System Sciences Discussions 9, no. 4 (2012): 4417–63. http://dx.doi.org/10.5194/hessd-9-4417-2012.

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Abstract. We describe a parameter estimation framework for the Unified Land Model (ULM) that utilizes multiple independent data sets over the Continental United States. These include a satellite-based evapotranspiration (ET) product based on MODerate resolution Imaging Spectroradiometer (MODIS) and Geostationary Operation Environmental Satellites (GOES) imagery, an atmospheric-water balance based ET estimate that utilizes North American Regional Reanalysis (NARR) atmospheric fields, terrestrial water storage content (TWSC) data from the Gravity Recovery and Climate Experiment (GRACE), and stre

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Livneh, B., and D. P. Lettenmaier. "Multi-criteria parameter estimation for the Unified Land Model." Hydrology and Earth System Sciences 16, no. 8 (2012): 3029–48. http://dx.doi.org/10.5194/hess-16-3029-2012.

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Abstract. We describe a parameter estimation framework for the Unified Land Model (ULM) that utilizes multiple independent data sets over the continental United States. These include a satellite-based evapotranspiration (ET) product based on MODerate resolution Imaging Spectroradiometer (MODIS) and Geostationary Operational Environmental Satellites (GOES) imagery, an atmospheric-water balance based ET estimate that utilizes North American Regional Reanalysis (NARR) atmospheric fields, terrestrial water storage content (TWSC) data from the Gravity Recovery and Climate Experiment (GRACE), and st

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Brigadnov, Igor A. "Multi-criteria Estimation of Load-Bearing Capacity of Solids." Journal of Elasticity 140, no. 1 (2020): 121–33. http://dx.doi.org/10.1007/s10659-019-09762-8.

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KaurSehra, Sumeet, Yadwinder Singh Brar, and Navdeep Kaur. "Multi Criteria Decision Making Approach for Selecting Effort Estimation Model." International Journal of Computer Applications 39, no. 1 (2012): 10–17. http://dx.doi.org/10.5120/4783-6989.

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Kędzior, Anna, and Konrad Kułakowski. "Multiple-Criteria Heuristic Rating Estimation." Mathematics 11, no. 13 (2023): 2806. http://dx.doi.org/10.3390/math11132806.

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One of the most widespread multi-criteria decision-making methods is the Analytic Hierarchy Process (AHP). AHP successfully combines the pairwise comparisons method and the hierarchical approach. It allows the decision-maker to set priorities for all ranked alternatives. But what if, for some of them, their ranking value is known (e.g., it can be determined differently)? The Heuristic Rating Estimation (HRE) method proposed in 2014 tried to bring the answer to this question. However, the considerations were limited to a model only considering a few criteria. This work analyzes how HRE can be u

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Nefedov, A. S., V. A. Shakirov, and S. M. Ignatieva. "Multi-criteria selection of the mix of generating plants in local energy systems based on a modified analytic hierarchy process." iPolytech Journal 26, no. 3 (2022): 451–64. http://dx.doi.org/10.21285/1814-3520-2022-3-451-464.

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This paper presents a modification of the analytic hierarchy process in order to increase its efficiency for a multi-criteria comparison of mixes of generating plants in local energy areas during their development. The multi-criteria problem of selecting the most effective ratio of rated capacities is considered for power plants representing a single mix of generating plants during the development of a local energy area in the Khabarovsk Krai. The energy sources are represented by thermal, solar, wind and diesel power plants. The following estimation criteria for alternative solutions were acc

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Coit, D. W., T. Jin, and N. Wattanapongsakorn. "System Optimization With Component Reliability Estimation Uncertainty: A Multi-Criteria Approach." IEEE Transactions on Reliability 53, no. 3 (2004): 369–80. http://dx.doi.org/10.1109/tr.2004.833312.

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Benkesmia, Yamina, Nadjla Bentekhici, and Lahcen Wahib Kebi. "ESTIMATION AND MAPPING OF INFILTRATION BASED ON A MULTI-CRITERIA ANALYSIS." Acta Geobalcanica 3, no. 1 (2017): 27–33. http://dx.doi.org/10.18509/agb.2017.03.

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Kamel, Isaam, and lina Khalid. "On Bayesian Estimation in Multi - Component Inverted Exponential Stress-Strength Model." Journal of Physics: Conference Series 2322, no. 1 (2022): 012038. http://dx.doi.org/10.1088/1742-6596/2322/1/012038.

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Abstract In this paper we find the mathematical formula of the reliability system for Multi component in stress-strength model Rp, when the stress and strength are identical random variables distributed as inverted exponential distribution, in addition estimated the reliability Rp using : the maximum likelihood estimator (MLE) and the Bayes (B) method, and made a comparisons among the estimation methods using Monte-Carlo simulation depend on the mean square Error (MSE) criteria.

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Ganicheva, A. V., and A. V. Ganichev. "VECTOR MODEL FOR MULTI-CRITERIA SCORING." Scientific Review: Theory and Practice 10, no. 10 (2020): 2245–53. http://dx.doi.org/10.35679/2226-0226-2020-10-10-2245-2253.

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To assess the performance of economic systems, criteria and performance indicators are used that show the degree of achievement of the desired performance result. To characterize complex systems in most real cases, one criterion is not enough. Therefore, several criteria are used to comprehensively characterize the system. The multi-criteria problem raises the problem of matching individual criteria when used together. There are many ways to select alternatives in the face of multiple decision criteria. This article discusses the multi-criteria comparison of objects with Pareto dominance, vect

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Abonazel, Mohamed R., Mohamed Abdallah, and El-Housainy A. Rady. "On New Two-Step GMM Estimation of the Panel Vector Autoregressive Models with Missing observations." WSEAS TRANSACTIONS ON MATHEMATICS 21 (September 20, 2022): 671–83. http://dx.doi.org/10.37394/23206.2022.21.79.

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Few estimation methods were discussed to handle the missing data problem in the panel data models. However, in the panel vector autoregressive (PVAR) model, there is no estimator to handle this problem. The traditional treatment in the case of incomplete data is to use the generalized method of moment (GMM) estimation based on only available data without imputation of the missing data. Therefore, this paper introduces a new GMM estimation for the PVAR model in case of incomplete data based on the mean imputation. Moreover, we make a Monte Carlo simulation study to study the efficiency of the p

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Belev, S. G., V. V. Veterinarov, and E. O. Matveev. "Estimation of electronic procedures effects in public procurement under favoritism." Voprosy Ekonomiki, no. 9 (September 6, 2023): 47–64. http://dx.doi.org/10.32609/0042-8736-2023-9-47-64.

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This paper investigates the effects of electronic procedures for supplier selection in public procurement multi criteria auctions (with a selection of a winner based not only on the price criterion) for the results of research and development (R&D) work in Russia. The electronic procedures in public procurement can increase the number of bidders and lead to lower final contract prices. However, in the presence of favoritism, the effect of electronic procedures may be limited. To identify and evaluate the effects of introduction of electronic procedures, we collected microdata on 4517 compo

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Alfares, Hesham K., and Salih O. Duffuaa. "Simulation-Based Evaluation of Criteria Rank-Weighting Methods in Multi-Criteria Decision-Making." International Journal of Information Technology & Decision Making 15, no. 01 (2016): 43–61. http://dx.doi.org/10.1142/s0219622015500315.

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This paper presents a simulation study to assess the performance of the five known methods for converting ranks of several criteria into weights in multi-criteria decision-making. The five methods assessed for converting criteria ranks into weights are: rank- sum (RS) weights, rank reciprocal (RR) weights, rank order centroid (ROC) weights, geometric weights (GW), and variable-slope linear (VSL) weights. The methods are compared in terms of weight estimation accuracy considering different numbers of criteria and decision makers’ (MS) preference structures. Alternative preference structures are

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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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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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Owais, Mahmoud, Ghada S. Moussa, and Khaled F. Hussain. "Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach." Operations Research Perspectives 6 (2019): 100100. http://dx.doi.org/10.1016/j.orp.2019.100100.

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Zubrilina, E. M., and O. S. Babenko. "Application of Methods for Solving Multi-Criteria Problems when Choosing Precision Seeders." E3S Web of Conferences 398 (2023): 01032. http://dx.doi.org/10.1051/e3sconf/202339801032.

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This article presents the process of choosing a precise seeding drill model using the methods of hierarchy analysis and generalized estimation. The results of the analysis represent preferred alternatives and recommendations for decision-making. The importance of the role of experts and their subjective opinions when using these methods is also emphasized.

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Dmitrenko, Alexei, Sergei Karasev, Alexandra Kalidova, and Dmitry Sivitsky. "Estimation of conditions of using combined single-track and double-track railways at high-speed traffic." MATEC Web of Conferences 216 (2018): 02010. http://dx.doi.org/10.1051/matecconf/201821602010.

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An important condition when arranging high-speed railway transportation with insignificant traffic is saving of capital investments in construction of new lines or the reconstruction the existing ones. Development of methods for multi-criteria estimation of the possibility of using fully single-track blocks on a line with high-speed traffic, as well as single-track blocks with double-track inserts, is a relevant issue. The purpose of the study is to develop the criteria and the method for estimation of the feasibility of using single-track elements on a line with high-speed traffic. Methods of

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Kumar, Ajay. "Recommendation of Machine Learning Techniques for Software Effort Estimation using Multi-Criteria Decision Making." JUCS - Journal of Universal Computer Science 30, no. (2) (2024): 221–41. https://doi.org/10.3897/jucs.110051.

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For the development of the software industry, Software Effort Estimation (SEE) is one of the essential tasks. Project managers can overcome budget and time overrun issues by accurately estimating a software project's development effort in the software life cycle. In prior studies, a variety of machine learning methods for SEE modeling were applied. The outcomes for various performance or accuracy measures are inconclusive. Therefore, a mechanism for assessing machine learning approaches for SEE modeling in the context of several contradictory accuracy measures is desperately needed. This study

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Singh, Seema, D. S. Hooda, and S. C. Malik. "Estimation of missing data in intuitionistic fuzzy soft matrix (IFSM) with application in MCDM." Journal of Statistics and Management Systems 27, no. 3 (2024): 589–603. http://dx.doi.org/10.47974/jsms-1022.

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The theory of fuzzy soft as well as intuitionistic soft set generally depends on complete information. But there are situations in which the complete information is not available due to various different reasons like data erroneous, in sufficiency of data, lacking of evidence and illegibility of data. Missing data restrict fuzzy soft matrix and intuitionistic fuzzy soft matrix and that causes more ambiguous uncertainty in the process of decision making. Thus, estimation of incomplete information data plays an important role in multi criteria decision making process which has been developed rec

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Bharadwaj, Madhu, Prajwal Rao, and Sowmianarayanan Srinivasan. "Implementation of Multi-Axial Fatigue Theory in FE Packages." Key Engineering Materials 719 (November 2016): 46–54. http://dx.doi.org/10.4028/www.scientific.net/kem.719.46.

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Many mechanical or structural components are subjected to multi-axial, irregular cyclic loading during service. The direction and amplitude of principal stress and strain vary over a period of time results in non-proportional cyclic loading on the component. At geometrical discontinuities, even a monotonic load will result in multi-axial state of stress. In general, the life of the components subjected to multi-axial stress loadings, are evaluated using classical yield theories. The Tresca and von Mises criterions along with Basquin-Coffin and Manson life curve are widely used in commercially

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Jia, Jianmin, Mohamed Ibrahim, Mohammed Hadi, Wallied Orabi, and Yan Xiao. "Multi-Criteria Evaluation Framework in Selection of Accelerated Bridge Construction (ABC) Method." Sustainability 10, no. 11 (2018): 4059. http://dx.doi.org/10.3390/su10114059.

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Accelerated Bridge Construction (ABC) is bridge construction that uses innovative planning, design and construction methods in a safe and cost-effective manner, which reduces construction mobility and environmental impacts, and contributes to city sustainable planning and development. To deal with the pressing need to support the decisions associated with the selection between the ABC and conventional bridge construction, this paper presents the development of a multi-criteria evaluation framework. Methods are developed and identified to estimate the construction, agency, and user costs associ

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Kumar, Ajay. "Recommendation of Machine Learning Techniques for Software Effort Estimation using Multi-Criteria Decision Making." JUCS - Journal of Universal Computer Science 30, no. 2 (2024): 221–41. http://dx.doi.org/10.3897/jucs.110051.

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&nbsp;For the development of the software industry, Software Effort Estimation (SEE) is one of the essential tasks. Project managers can overcome budget and time overrun issues by accurately estimating a software project&#39;s development effort in the software life cycle. In prior studies, a variety of machine learning methods for SEE modeling were applied. The outcomes for various performance or accuracy measures are inconclusive. Therefore, a mechanism for assessing machine learning approaches for SEE modeling in the context of several contradictory accuracy measures is desperately

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Wagh, Rupali S., and Deepa Anand. "Legal document similarity: a multi-criteria decision-making perspective." PeerJ Computer Science 6 (March 23, 2020): e262. http://dx.doi.org/10.7717/peerj-cs.262.

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The vast volume of documents available in legal databases demands effective information retrieval approaches which take into consideration the intricacies of the legal domain. Relevant document retrieval is the backbone of the legal domain. The concept of relevance in the legal domain is very complex and multi-faceted. In this work, we propose a novel approach of concept based similarity estimation among court judgments. We use a graph-based method, to identify prominent concepts present in a judgment and extract sentences representative of these concepts. The sentences and concepts so mined a

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Jindal, Aparna, Rakesh Garg, and Ashu Bansal. "Ranking of Software Effort Estimation Selection Criteria Based On Fuzzy Set Theory." International Journal of Advance Research and Innovation 4, no. 1 (2016): 57–62. http://dx.doi.org/10.51976/ijari.411609.

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The selection and evaluation of Software effort estimation models has always been a challenging task for the software developers and the project managers. A lot of research has been done by various researchers on this by considering it as multi-criteria decision making problem. So, a better understanding of various selection criteria and their importance in this regard is required. In this paper, first the identification of the various software effort estimation model selection criteria is done, then by applying fuzzy set theory the local and global weights of these selection criteria are calc

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Janušaitis, Rytis. "ESTIMATION OF ALTERNATIVE WALL INSULATING SOLUTIONS USING THE METHOD OF TECHNOLOGICAL NETWORK MODEL “CUTTING OUT” JUNCTIONS/SIENŲ ŠILTINIMO ALTERNATYVIŲ SPRENDIMŲ ĮVERTINIMAS, TAIKANT TECHNOLOGINIO TINKLINIO MODELIO MAZGŲ “IŠPJOVIMO” METODĄ." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 4, no. 2 (1998): 161–70. http://dx.doi.org/10.3846/13921525.1998.10531397.

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The article investigates the problem of the dwelling house wall insulation of many-variant decisions estimation. At present multi-criteria evaluation methods are used. They provide the formal algorithm of the final effective selection of solution. However, during the optimisation of the decisions it is expedient to analyse the efficiency of intermediate decisions and those influencing the final findings. With that end in view the author suggests the multi- criteria problem of the evaluations of the variant decision using the method or technological network model of “cutting out” junctions. The

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Petrovic, Nikola, Branko Djedovic, and Dragana Petrovic. "Project estimation and selection using the cost: Effectiveness analysis and multi-criteria analysis." Vojnotehnicki glasnik 60, no. 3 (2012): 168–87. http://dx.doi.org/10.5937/vojtehg1203168p.

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Mohammadpour, M., M. H. Kalajahi, R. H. Oskouei, and M. Shakouri. "Fatigue life estimation of coach peel riveted joints using multi-axial fatigue criteria." Materials & Design (1980-2015) 62 (October 2014): 327–33. http://dx.doi.org/10.1016/j.matdes.2014.05.033.

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Cavalcante, Charles Casimiro, and João Marcos T. Romano. "Multi-user pdf estimation based criteria for adaptive blind separation of discrete sources." Signal Processing 85, no. 5 (2005): 1059–72. http://dx.doi.org/10.1016/j.sigpro.2004.11.023.

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Swaid, Bashar, Eleonora Bilotta, Pietro Pantano, and Roberta Lucente. "Emergence nonlinear Multifractal architecture by Hypervolume estimation algorithm for evolutionary multi-criteria optimisation." International Journal of Parallel, Emergent and Distributed Systems 32, sup1 (2017): S101—S113. http://dx.doi.org/10.1080/17445760.2017.1390094.

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Bostenaru Dan, M. D. "Multi-criteria decision model for retrofitting existing buildings." Natural Hazards and Earth System Sciences 4, no. 4 (2004): 485–99. http://dx.doi.org/10.5194/nhess-4-485-2004.

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Abstract. Decision is an element in the risk management process. In this paper the way how science can help in decision making and implementation for retrofitting buildings in earthquake prone urban areas is investigated. In such interventions actors from various spheres are involved. Their interests range among minimising the intervention for maximal preservation or increasing it for seismic safety. Research was conducted to see how to facilitate collaboration between these actors. A particular attention was given to the role of time in actors' preferences. For this reason, on decision level,

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Berezkin, А., R. Vivchar, and R. Kirichek. "Multi-Criteria Evaluation of UAV Control Efficiency in Hybrid Communication Networks." Proceedings of Telecommunication Universities 10, no. 1 (2024): 18–25. http://dx.doi.org/10.31854/1813-324x-2024-10-1-18-25.

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Currently, there is an active growth in the use of unmanned systems in various spheres of activity. The qualitative fulfillment by unmanned systems of their target tasks depends on the efficiency of information exchange channels for their control, which consists of several criteria, which makes the problem of its evaluation a multi-criteria one. This article presents the corresponding evaluation methodology, which is based on the use of the probability of achieving a set of functioning goals as a generalized efficiency indicator. To determine the probability, the widely used Rosenblatt-Parzen

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Pažek, Karmen, and Črtomir Rozman. "Tourist Farm Service Quality Assessment." Journal for Geography 5, no. 2 (2010): 149–58. http://dx.doi.org/10.18690/rg.5.2.4038.

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Farm tourism shows a structure different from agriculture, forestry, and fishery; farm tourism is expanding, labour intensive, generates an influx of money, and maintains the service base in the region. Farm tourism is one of the most important supplementary activities and generates considerable secondary income. This paper presents the developed methodology that will enable the ranking of tourist farms based on their service quality. This is accomplished through the use of the expert system based on the DEXi decision-making method. Using DEXi, the multi-criteria decision model for the assessm

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Isayev, K. H., B. Kh Bekirova, E. Sh Garagozov, and S. A. Ilyasov. "Theoretic-practical approaches to the implementation of method of balanced system of parameters in evaluation of labour productivity in oil-gas developing enterprises." Azerbaijan Oil Industry, no. 4 (April 15, 2021): 43–47. http://dx.doi.org/10.37474/0365-8554/2021-4-43-47.

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Nowadays, it is necessary to consider non-financial aspects in the models of efficiency evaluation towards the estimation of business success in all respects. With this purpose, the paper presents multi-criteria models for the elimination of shortcomings and drawbacks of traditional efficiency estimation systems. Therefore, the purpose of the research is to create balanced system of parameters considering importance of multi-dimensional models for efficiency evaluation. The criterion specified by OGPD for Balanced Scorecard almost reach the values forecasted from the aspects of financies, cons

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Hernández, Heber. "A semiautomatic multi criteria method for mineral resources classification." Applied Earth Science: Transactions of the Institutions of Mining and Metallurgy 133, no. 4 (2024): 211–23. https://doi.org/10.1177/25726838241298187.

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Mineral resources are classified as measured, indicated, or inferred based on the geological confidence derived from estimation results and the quality and quantity of available data. In the mining industry, there are numerous accepted criteria for this classification. The selection and combination of these criteria, determined through arbitrary decision rules, depend on the characteristics of each project and are the responsibility of a qualified person. The problem with the current methodology is that the same data, using the same criteria, can yield different results depending on the person

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Shahhoseini, Zahra, Milad Haghani, and Majid Sarvi. "Estimation and application of a multi-class multi-criteria mixed paired combinatorial logit model for transport networks analysis." Transportmetrica B: Transport Dynamics 3, no. 1 (2014): 59–78. http://dx.doi.org/10.1080/21680566.2014.955148.

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Esangbedo, Moses Olabhele, and Sijun Bai. "Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation." Symmetry 11, no. 2 (2019): 230. http://dx.doi.org/10.3390/sym11020230.

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Evaluating the reputation of higher institutions is important as a benchmark for the continuous development of universities. In multi-criteria decision-making (MCDM), the estimation of the criteria weight is significant in improving the accuracy of the evaluation results. However, criteria weights assigned by decision makers (DMs) can be inaccurate when not measured from the orientations from which the DMs pursue their decision goals. This paper combines the grey system theory (GST) and regulatory focus theory (RFT) in estimating the weights of criteria by measuring the promotional and prevent

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Korshunov, G. I., V. A. Smirnov, and V. M. Milova. "Multi-criteria fuzzy model for system technical condition estimation at the life cycle stages." IOP Conference Series: Materials Science and Engineering 537 (June 18, 2019): 042019. http://dx.doi.org/10.1088/1757-899x/537/4/042019.

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Pei, Huining, Jingru Cao, Man Ding, Ziyu Wang, Yunfeng Chen, and Fanghua Zhao. "A multi-criteria fusion-based pose estimation method for civil aircraft maintenance operation tasks." Advanced Design Research 2, no. 2 (2024): 98–114. https://doi.org/10.1016/j.ijadr.2024.12.001.

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Nord, Erik. "Beyond QALYs: Multi-criteria based estimation of maximum willingness to pay for health technologies." European Journal of Health Economics 19, no. 2 (2017): 267–75. http://dx.doi.org/10.1007/s10198-017-0882-x.

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Amri, Fouad, Omar Bouattane, Tajeddine Khalili, Abdelhadi Raihani, and Abdelkader Bifadene. "Toward an Evolutionary Multi-Criteria Model for the Analysis and Estimation of Wind Potential." Journal of Power and Energy Engineering 03, no. 11 (2015): 14–28. http://dx.doi.org/10.4236/jpee.2015.311002.

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Rouhani, Hamed, Patrick Willems, Guido Wyseure, and Jan Feyen. "Parameter estimation in semi-distributed hydrological catchment modelling using a multi-criteria objective function." Hydrological Processes 21, no. 22 (2007): 2998–3008. http://dx.doi.org/10.1002/hyp.6527.

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Chelariu, Oana-Elena, Ionuț Minea, and Corneliu Iațu. "Geo-hazards assessment and land suitability estimation for spatial planning using multi-criteria analysis." Heliyon 9, no. 7 (2023): e18159. http://dx.doi.org/10.1016/j.heliyon.2023.e18159.

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Jia, Jidong, Minglu Zhang, Xizhe Zang, He Zhang, and Jie Zhao. "Dynamic Parameter Identification for a Manipulator with Joint Torque Sensors Based on an Improved Experimental Design." Sensors 19, no. 10 (2019): 2248. http://dx.doi.org/10.3390/s19102248.

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As the foundation of model control, robot dynamics is crucial. However, a robot is a complex multi-input–multi-output system. System noise seriously affects parameter identification results, thereby inevitably requiring us to conduct signal processing to extract useful signals from chaotic noise. In this research, the dynamic parameters were identified on the basis of the proposed multi-criteria embedded optimization design method, to obtain the optimal excitation signal and then use maximum likelihood estimation for parameter identification. Considering the movement coupling characteristics o

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Polikarpova, Ilze, Dace Lauka, Dagnija Blumberga, and Edgars Vigants. "Multi-Criteria Analysis to Select Renewable Energy Solution for District Heating System." Environmental and Climate Technologies 23, no. 3 (2019): 101–9. http://dx.doi.org/10.2478/rtuect-2019-0082.

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Abstract The research paper is focused on how to choose the most suitable renewable energy solution using multi-criteria analysis for a district heating system. Making choices is based on indicators – economic, environmental and social. In this case, the study used five indicators: resources costs, totals investments, reduction of greenhouse gas emissions, specific weight of renewable energy resources and impact on utilized land. Three situations have been compared – current situation: gas boiler, planned: solar collectors 21 595 m2 + accumulation tank 8000 m3 and alternatives: solar PV panels

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Höller, Johannes, Patricia Bickert, Patrick Schwartz, et al. "Parameter Estimation Strategies in Thermodynamics." ChemEngineering 3, no. 2 (2019): 56. http://dx.doi.org/10.3390/chemengineering3020056.

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Many thermodynamic models used in practice are at least partially empirical and thus require the determination of certain parameters using experimental data. However, due to the complexity of the models involved as well as the inhomogeneity of available data, a straightforward application of basic methods often does not yield a satisfactory result. This work compares three different strategies for the numerical solution of parameter estimation problems, including errors both in the input and in the output variables. Additionally, the new idea to apply multi-criteria optimization techniques to

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Chattopadhyay, Ayan, and Upasana Bose. "An Assessment of Objectivity Convergence of Fuzzy TOPSIS Method Extended With Rank Order Weights in Group Decision Making." Asian Journal of Managerial Science 7, no. 3 (2018): 26–33. http://dx.doi.org/10.51983/ajms-2018.7.3.1347.

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Group decision making in a multi criteria environment is a familiar business situation where the decision makers identify an ideal choice, among many. The situation gets complex when decision makers do not have crisp data to deal with. The fuzzy TOPSIS method, and its likes, provides solution to such problems and the criteria weight plays a determinant role in the overall priority estimation. This paper presents an extended fuzzy TOPSIS approach by incorporating criteria weights derived from rank order. It considers three criteria weights; the rank order centroid, rank sum and rank reciprocal

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Giel, Robert, and Artur Kierzkowski. "A Fuzzy Multi-Criteria Model for Municipal Waste Treatment Systems Evaluation including Energy Recovery." Energies 15, no. 1 (2021): 31. http://dx.doi.org/10.3390/en15010031.

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One of the recent problems on waste sorting systems is their performance evaluation for proper decision making and management. For this purpose, multi-criteria methods can be used to evaluate the sorting system from both operational and financial perspectives. According to a recent literature review, there are no solutions for evaluating waste sorting systems that take into account: sorting point utilisation, sorting efficiency, waste stream irregularity, and technical system availability. In addition, the problem of data uncertainty and the need to use expert judgements indicate the need for

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