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Artykuły w czasopismach na temat „Complex evaluation model”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Reuter, Markus, and Frank Werner. "Evaluation of complex engineering models using model quality analysis." Engineering Structures 42 (September 2012): 410–19. http://dx.doi.org/10.1016/j.engstruct.2012.04.037.

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Stankeviciene, Jelena, and Irma Gavrilova. "Evaluation of Lithuanian Mutual Funds Performance Using Complex Evaluation Model." Business: Theory and Practice 13, no. (1) (2012): 94–106. https://doi.org/10.3846/btp.2012.10.

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Previous studies of mutual funds evaluation models and methods are examined in the article. The rates of risk and return, used by Lithuanian mutual funds, the timing ability Treynor-Mazuy model and their efficiency are discussed. The complex evaluation SAW method is chosen as the solution to mutual funds performance evaluation problem. Based on mutual funds evaluation methods, complex mutual funds performance evaluation model is proposed. The rates of risk and return and funds characteristics are chosen as mutual funds evaluation criteria. Development tendencies of Lithuanian mutual fund marke

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3

Skoruks, Dmitrijs. "Complex Econometric Model of Monopolization Process Evaluation." Procedia - Social and Behavioral Sciences 110 (January 2014): 202–14. http://dx.doi.org/10.1016/j.sbspro.2013.12.863.

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Hong-bo, Jiang, Lu Yan-sheng, and Tang Bo. "Complex model simplification algorithm with improved error evaluation." Wuhan University Journal of Natural Sciences 10, no. 2 (2005): 380–84. http://dx.doi.org/10.1007/bf02830671.

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Huang, Huaxin, and Yuhang Li. "Metaphorical Description and Model Description of Complex Systems." Computational Intelligence and Neuroscience 2022 (July 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/3094010.

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From metaphorical description to model description is the symbol of the maturity of complexity science. This paper focuses on two model description methods of complex systems: formal system model and relevance theory model, and compares their advantages and disadvantages. These two models are descriptions of complex systems from different perspectives and have important and irreplaceable significance in the theoretical research and practical application of complex systems. The future research direction of complex systems is not the “integration” of the two models but the alternation of the two

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Feng, J., X. B. Zhan, Z. Y. Zheng, D. Wang, L. M. Zhang, and C. C. Lin. "New model for flavour quality evaluation of soy sauce." Czech Journal of Food Sciences 31, No. 3 (2013): 292–305. http://dx.doi.org/10.17221/524/2011-cjfs.

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The soy sauce samples established a model for its flavour quality evaluation. Initially, 39 types of flavour compounds, organic acids and free amino acids in six different types of soy sauce were identified and determined by HS-SPME GC/MS and HPLC. The model was developed based on the principal component analysis method for assessing and ranking of flavour quality of soy sauce. Using the principal component analysis which simplifies complex information, our correlative evaluation model was established, tested by comparing the traditional sensory evaluation method, providing a new methodology f

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Yakusheva, Elena, Ekaterina Engalycheva, Igor Sychev, and Aleksey V. "PHARMACOLOGICAL EVALUATION POLYSACCHARIDE COMPLEX FLOWERS TANSY." Research Results in Pharmacology 2, no. (4) (2016): 45–54. https://doi.org/10.18413/2500-235X-2016-2-4-45-54.

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From flowers tansy extracted polysaccharide complex. Installed its qualitative and quantitative composition, have developed a technique standardizing the content of reducing sugars. By thin layer chromatography and high pressure liquid chromatography after acid hydrolysis installed monosaccharide composition: glucose, xylose, arabinose, galactose and mannose. It is proved that the polysaccharide has a high content of uronic acid, which allows it to include the class of pectin. The investigation of gastroprotective activity of polysaccharide in the prophylactic administration at model destructi

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8

Grace, James. "A 'Weight of Evidence' approach to evaluating structural equation models." One Ecosystem 5 (March 13, 2020): e50452. https://doi.org/10.3897/oneeco.5.e50452.

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It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model evaluation and selection in SEM studies are complex and difficult to integrate with current approaches used in biology. Opposition to the use of <i>p</i>-values and decision thresholds has been voiced by the statistics community, yet certain phases of

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9

OHTO, Hirohito, Takanori UCHIDA, Yoshihiro TANIYAMA, and Toshiki OSAKO. "ICOPE-15-1110 Airflow evaluation of wind farm site over complex terrain using LES turbulence model." Proceedings of the International Conference on Power Engineering (ICOPE) 2015.12 (2015): _ICOPE—15——_ICOPE—15—. http://dx.doi.org/10.1299/jsmeicope.2015.12._icope-15-_75.

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10

Thuillier, Richard H. "Evaluation of a Puff Dispersion Model in Complex Terrain." Journal of the Air & Waste Management Association 42, no. 3 (1992): 290–97. http://dx.doi.org/10.1080/10473289.1992.10466992.

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11

Havens, Jerry, Heather Walker, and Tom Spicer. "Wind-tunnel data sets for complex dispersion model evaluation." Journal of Loss Prevention in the Process Industries 7, no. 2 (1994): 124–29. http://dx.doi.org/10.1016/0950-4230(94)80028-6.

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12

Wang, Huan, Qingyuan Meng, Min Ouyang, and Ruishi Liang. "A Correlation Evaluation Method for Complex Objects." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 2 (2019): 323–27. http://dx.doi.org/10.20965/jaciii.2019.p0323.

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Data correlation evaluation is the basis for data analysis, and the academic community has proposed many indicators to evaluate it, such as the Euclidean distance, and angle cosine, and so on. However, it is difficult for these indicators to effectively express the correlation degree of complex objects. Using traffic intersections as an example, this article proposes an effective method to evaluate the correlation between complex objects. First, based on a large quantity of basic data, a standard data format describing traffic intersection attributes was proposed. Then, experienced engineers w

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13

Du, Feng, Zhi Wei Guan, and Yi Zhou. "Reliability Evaluation for Complex Machinery Products." Key Engineering Materials 480-481 (June 2011): 763–68. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.763.

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For those large-scale and complex mechanical products, considering economy and applicability, these products are impossible to be discarded as soon as they take place malfunction. Generally, they can be reused again and again after be repaired repeatedly, that is, they usually have multi-lifespan. Accordingly, it is very necessary to establish a kind of proper reliability evaluation mode for these complex repairable products. In this paper, the treatment procedure of the reliability test data for these repairable products is researched based on the repairable reliability theory, and the method

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14

Ubaydullayeva, Gulnora. "IN THE QUALITY OF EDUCATION - THE IMPORTANCE OF DETERMINING THE RATING OF HIGHER EDUCATION INSTITUTIONS." International journal of advanced research in education, technology and management 2, no. 1 (2023): 452–58. https://doi.org/10.5281/zenodo.7595270.

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<strong>Abstract</strong>. In the research work, the problem of creating a system adapted to the assessment of the quality of education of higher educational institutions is considered and the models for determining the assessment indicators are described. The conditions for rating higher educational institutions based on world standards are determined.  

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15

Hnilica, Richard, Martin Jankovský, and Miroslav Dado. "Model Assessment of the Complex Workload of Harvester Operator." Forests 13, no. 8 (2022): 1196. http://dx.doi.org/10.3390/f13081196.

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This article deals with the complex evaluation of a working environment. The aim of this paper is to find a mathematical model for a comprehensive risk assessment of a harvester operator. The developed model is based on the mutual evaluation of dependent and independent variables. The selected independent (explanatory) input variables of the model are the equivalent sound pressure level, peak sound pressure level, operative temperature, and mental stress. The selected dependent variable is the riskiness of the work, which we determined by means of heart rate variability evaluation. Based on th

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16

Kuznetsov, M., and V. Makarenkov. "Two-Band Multitasks Radar Complex Functioning Model." Proceedings of Telecommunication Universities 6, no. 1 (2020): 60–68. http://dx.doi.org/10.31854/1813-324x-2020-6-1-60-68.

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The author propose us a mathematical models of signals, interference, and noise that are simultaneously emitted and received by a two-band radar complex. The author considers the model of the complex functioning, which carries out simultaneous signals evaluation and detection received from slowly and rapidly fluctuating target on the background of interference and noise. This article investigates the features of information processing in the considered model which arise when the spectra of two ranges overlap.

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17

Feng, Chunxia, Sifeng Liu, Wenjie Dong, and Liangyan Tao. "Reliability Evaluation Model for Complex Equipment Fusing General Uncertainty Variables." International Journal of Grey Systems 4, no. 2 (2024): 5–22. https://doi.org/10.52812/ijgs.103.

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Due to the uncertainty of cognition and the difficulty of obtaining information, the reliability information of complex equipment is full of uncertainty. In order to make full use of multi-source uncertain reliability information, a reliability evaluation model based on D-S evidence theory and general uncertainty theory is proposed. The main work is as follows: Firstly, the basic probability assignment of evidence theory is carried out through general uncertainty theory for random, fuzzy, grey and rough reliability data in the development process of complex equipment. Second, in order to addre

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18

Yao, Huang, Wang Naijiang, and Pei Qiao. "Multi Functional Evaluation Model of Forest Based on Complex Needs." Journal of Computational and Theoretical Nanoscience 13, no. 11 (2016): 8117–22. http://dx.doi.org/10.1166/jctn.2016.5823.

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19

Schulman, Lloyd L., and Steven R. Hanna. "Evaluation of Downwash Modifications to the Industrial Source Complex Model." Journal of the Air Pollution Control Association 36, no. 3 (1986): 258–64. http://dx.doi.org/10.1080/00022470.1986.10466066.

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20

Markéta, Dvořáčková, and Kostolányová Kateřina. "Complex Model of e-Learning Evaluation Focusing on Adaptive Instruction." Procedia - Social and Behavioral Sciences 47 (2012): 1068–76. http://dx.doi.org/10.1016/j.sbspro.2012.06.780.

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21

Ji, Xiaohui, and Jie Xie. "A Complex Network Structure Evaluation Model Based on Cloud Computing." International Journal of Grid and Distributed Computing 9, no. 6 (2016): 235–46. http://dx.doi.org/10.14257/ijgdc.2016.9.6.22.

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22

Zhang, Hong, and Yangang Yao. "An Integrative Vulnerability Evaluation Model to Urban Road Complex Network." Wireless Personal Communications 107, no. 1 (2019): 193–204. http://dx.doi.org/10.1007/s11277-019-06248-7.

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23

Fridrich, Annemarie, Gregor J. Jenny, and Georg F. Bauer. "The Context, Process, and Outcome Evaluation Model for Organisational Health Interventions." BioMed Research International 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/414832.

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To facilitate evaluation of complex, organisational health interventions (OHIs), this paper aims at developing a context, process, and outcome (CPO) evaluation model. It builds on previous model developments in the field and advances them by clearly defining and relating generic evaluation categories for OHIs. Context is defined as the underlying frame that influences and is influenced by an OHI. It is further differentiated into the omnibus and discrete contexts. Process is differentiated into the implementation process, as the time-limited enactment of the original intervention plan, and the

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24

Dou, Xiangmin, Guojian Tang, Han Wang, Aiwu Yang, Yueqi Hou, and Xiaolong Liang. "Effectiveness evaluation of complex air combat system based on capability-service model." Journal of Physics: Conference Series 2593, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1742-6596/2593/1/012005.

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Abstract The core feature of a complex air combat system is manned-unmanned teaming (MUM-T). It will be the basic air combat formation of the future Air Force. The effectiveness evaluation of a complex air combat system is a challenging task. It will profoundly affect the future direction of air combat systems. Firstly, this paper describes the concept, components, and winning mechanism of complex air combat. Secondly, drawing on the ideas of mosaic warfare effectiveness evaluation, building an agent-based capability-service effectiveness evaluation model, solving the model by heuristic rules.

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25

Wang, Jiahu, Ming Li, and Ping Lin. "Evaluation Model of Regional Comprehensive Disaster Reduction Capacity under Complex Environment." Journal of Environmental and Public Health 2022 (September 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/1593536.

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In order to realize the evaluation of regional comprehensive disaster reduction capacity in a complex environment, an evaluation model of regional comprehensive disaster reduction capacity in a complex environment based on remote sensing monitoring and data image feature analysis is proposed. According to the geographical location and scale of disaster spots and the parameter analysis of the model of disaster-bearing bodies around the disaster spots, the remote sensing monitoring method is adopted to extract the geographical remote sensing images of regional disaster spots in a complex environ

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26

Stoylova, A. S. "Model-Based Quantitative Evaluation of 2030 Forestry Development Strategy Forecasts." World of Economics and Management 19, no. 4 (2019): 114–26. http://dx.doi.org/10.25205/2542-0429-2019-19-4-114-126.

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A step-by-step construction of data harmonized models makes it possible to gradually eliminate unnecessary information in terms of forest complex and at the same time to increase the functionality necessary for further calculations, with each model in the complex used for certain purposes contributing to the calculations of the forest complex. This article provides a step-by-step construction of the Optimization Interregional Intersectoral Model (OIIM) modification for the forest complex. The proposed stages contain a brief description of transition from the national economic model in value te

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27

Wang, Jian, and Weizhong Zhang. "Fuzzy mathematics and machine learning algorithms application in educational quality evaluation model." Journal of Intelligent & Fuzzy Systems 39, no. 4 (2020): 5583–93. http://dx.doi.org/10.3233/jifs-189039.

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Teaching quality evaluation is a complex non-linear system fitting problem under the influence of many factors. The establishment of teaching quality evaluation is to construct a functional relationship between teaching quality evaluation index and teaching effect. In this paper, the authors analyze the fuzzy mathematics and machine learning algorithms application in educational quality evaluation model. Machine learning method has been well applied in complex problems such as classification, fitting, pattern recognition and so on. It can be used to realize a more comprehensive, reasonable and

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28

Li, Xiao Guang, and Ping Ping Xiao. "Study of Complex Ability Evaluation Model of University Students Based on Fuzzy Theory." Applied Mechanics and Materials 488-489 (January 2014): 1340–43. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.1340.

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Complex ability evaluation of university students is an important means of training talents to the related teaching department, and it has a very important role to improve the training quality of university and the quality of teaching. In this paper, by analyzing of the disadvantages of traditional evaluation method, an evaluation model is put forward a kind of based on fuzzy comprehensive evaluation of university student' complex ability, and give the evaluation model of the specific composition and the corresponding algorithm. The model is better than common evaluation tools to weigh the var

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29

Cho, Sun-Kyung, and Jaeho Chung. "Determining the Location of the Complex Cultural Space and Evaluation model study." Korea Real Estate Academy 92 (December 31, 2023): 35–56. http://dx.doi.org/10.31303/krear.2023.92.35.

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(1) RESEARCH OBJECTIVES Since complex cultural space development projects involve long-term decision-making with considerable time and large-scale capital investment and involve a lot of time and budget from basic design to construction and completion, efforts to minimize risk in the long run are very important. In relation to the location factors of complex cultural spaces, there is a need for an analytical and rational study that can satisfy the formation of local urban culture and economic factors. Accordingly, this study was conducted to understand the importance of the location determinan

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Fowler, Stuart, Keith Joiner, and Siqi Ma. "Cyber Evaluation and Management Toolkit (CEMT): Face Validity of Model-Based Cybersecurity Decision Making." Systems 12, no. 7 (2024): 238. http://dx.doi.org/10.3390/systems12070238.

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The Cyber Evaluation and Management Toolkit (CEMT) is an open-source university research-based plugin for commercial digital model-based systems engineering tools that streamlines conducting cybersecurity risk evaluations for complex cyber-physical systems. The authors developed this research tool to assist the Australian Defence Force (ADF) with the cybersecurity evaluation of complicated systems operating in an increasingly contested and complex cyber environment. This paper briefly outlines the functionality of the CEMT including the inputs, methodology, and outputs required to apply the to

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31

Zhang, Bo, Da Wei Zhao, and Xue Zhao. "Evaluation Model of Combat Effectiveness Based on MAS." Applied Mechanics and Materials 734 (February 2015): 443–46. http://dx.doi.org/10.4028/www.scientific.net/amm.734.443.

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This paper presents ideas that using the complex system theory to achieve combat effectiveness evaluation, and constructs an combat agent model and a potential field theory model, then take an example to accomplish the combat effectiveness evaluation based on multi-agent.

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32

Gräßler, I., D. Wiechel, A. S. Koch, D. Preuß, and C. Oleff. "Model-Based Effect-Chain Analysis for Complex Systems." Proceedings of the Design Society 2 (May 2022): 1885–94. http://dx.doi.org/10.1017/pds.2022.191.

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AbstractEffect chain modeling approaches are applied to model cause-effect relations and analyze affected elements and dependencies. In this paper a systematic literature research is conducted to derive main characteristics and limitations of existing approaches. Then, the Model-based Effect Chain Analysis (MECA) method is introduced. Evaluation proves applicability of the method by means of a case example. This is done in the context of a project with a German automotive company. In the project 66 workshops were conducted to model certification-compliant effect chains in accordance to the UN

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33

Kildienė, Simona, Edmundas Kazimieras Zavadskas, and Jolanta Tamošaitienė. "COMPLEX ASSESSMENT MODEL FOR ADVANCED TECHNOLOGY DEPLOYMENT." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 20, no. 2 (2014): 280–90. http://dx.doi.org/10.3846/13923730.2014.904813.

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The construction sector constantly offers new products, more effective technologies and novel solutions aimed at improvement of the quality of human habitats and wider distribution of technologies. Currently, effective technologies that require less time and costs for production, installation and use are gaining greater significance. Among them are construction materials and technologies with increasingly popular sustainability features. Considering the above, the article offers a complex algorithm for assessing the deployment and distribution potential of a new technology/product. For this pu

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34

Yang, Weiming, Congdong Li, Yinyun Yu, and Mingsheng Zhong. "Research on Importance Evaluation of Complex Product Parts Based on Multilayer Complex Network." Discrete Dynamics in Nature and Society 2021 (September 1, 2021): 1–19. http://dx.doi.org/10.1155/2021/7185830.

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The identification and evaluation of important parts play an important role in effective production arrangement and shortening the product development in the product design stage. In this paper, a complex product node importance evaluation method based on multilayer network is proposed to identify and evaluate importance parts faster. First, a complex product design expression network based on “function behavior structure (FBS)” multilayer complex network is established. Second, the evaluation index system of important design parts for complex products based on multilayer network is constructe

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35

Teng, L., M. Ehrhardt, and M. Günther. "Numerical evaluation of complex logarithms in the Cox–Ingersoll–Ross model." International Journal of Computer Mathematics 90, no. 5 (2013): 1083–95. http://dx.doi.org/10.1080/00207160.2012.749348.

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Gou, Li, Bo Wei, Rehan Sadiq, Yong Sadiq, and Yong Deng. "Topological Vulnerability Evaluation Model Based on Fractal Dimension of Complex Networks." PLOS ONE 11, no. 1 (2016): e0146896. http://dx.doi.org/10.1371/journal.pone.0146896.

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Sivacoumar, R., A. D. Bhanarkar, S. K. Goyal, S. K. Gadkari, and A. L. Aggarwal. "Air pollution modeling for an industrial complex and model performance evaluation." Environmental Pollution 111, no. 3 (2001): 471–77. http://dx.doi.org/10.1016/s0269-7491(00)00083-x.

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38

Soare, Emanuel. "Using the Complex Learning Situation Model in the Evaluation of Competences." Procedia - Social and Behavioral Sciences 180 (May 2015): 1–6. http://dx.doi.org/10.1016/j.sbspro.2015.02.076.

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Saberi, Meead, Taha H. Rashidi, Milad Ghasri, and Kenneth Ewe. "A Complex Network Methodology for Travel Demand Model Evaluation and Validation." Networks and Spatial Economics 18, no. 4 (2018): 1051–73. http://dx.doi.org/10.1007/s11067-018-9397-y.

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Lange, Stefan, Jonathan F. Donges, Jan Volkholz, and Jürgen Kurths. "Local Difference Measures between Complex Networks for Dynamical System Model Evaluation." PLOS ONE 10, no. 4 (2015): e0118088. http://dx.doi.org/10.1371/journal.pone.0118088.

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Iacono, Mauro, and Stefano Marrone. "Model-Based Availability Evaluation of Composed Web Services." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2014): 5–13. http://dx.doi.org/10.26636/jtit.2014.4.1042.

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Web services composition is an emerging software development paradigm for the implementation of distributed computing systems, the impact of which is very relevant both in research and industry. When a complex functionality has to be delivered on the Internet, a service integrator can produce added value by delivering more abstract and complex services obtained by composition of existing ones. But while isolated services availability can be improved by tuning and reconfiguring their hosting servers, with Composed Web Services (CWS) basic services must be taken as they are. In this case, it is

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42

Yang, W. M., C. D. Li, Y. H. Chen, and Y. Y. Yu. "Change impact analysis of complex product using an improved three-parameter interval grey relation model." Advances in Production Engineering & Management 16, no. 2 (2021): 185–98. http://dx.doi.org/10.14743/apem2021.2.393.

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Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of engineering change impact evaluation, this paper introduces three-parameter interval grey number to evaluate complex products according to the data characteristics. The linear combination of BWM and Gini coefficient method is used to improve the three-parameter interval grey number correlation model. It is applied to the impact evaluation of complex product engineering change. This paper firstly con

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Yang, W. M., C. D. Li, Y. H. Chen, and Y. Y. Yu. "Change impact analysis of complex product using an improved three-parameter interval grey relation model." Advances in Production Engineering & Management 16, no. 2 (2021): 185–98. http://dx.doi.org/10.14743/apem2021.2.393.

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Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of engineering change impact evaluation, this paper introduces three-parameter interval grey number to evaluate complex products according to the data characteristics. The linear combination of BWM and Gini coefficient method is used to improve the three-parameter interval grey number correlation model. It is applied to the impact evaluation of complex product engineering change. This paper firstly con

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44

Sakurai, Shigeaki. "Ranking of Evaluation Targets Based on Complex Sequential Data." International Journal of Data Warehousing and Mining 13, no. 4 (2017): 19–32. http://dx.doi.org/10.4018/ijdwm.2017100102.

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This paper proposes a method that arranges evaluation targets based on their complex sequential data. The data is composed of numerical one and text one. This method focuses on both change ratios of the numerical sequential data and the occupation ratios of the text sequential data. It generates a ranking model of the evaluation targets. The model can extract important evaluation targets. This paper applies the method to the data composed of stock price information and news articles. The former one corresponds to the numerical sequential data and the latter one corresponds to the text sequenti

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45

Pogorelov, V., and E. Chub. "Markov model of data measurement complex for track geometry car." E3S Web of Conferences 224 (2020): 02029. http://dx.doi.org/10.1051/e3sconf/202022402029.

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A stochastic model of a nonadjustable data measurement complex platform for track geometry cars is introduced. A state vector evaluation algorithm based on the approximation of a posteriori probability density by the system of a posteriori moments is also offered.

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Kuribayashi, Katsuhiko. "A Rational Model for the Evaluation Map." Georgian Mathematical Journal 13, no. 1 (2006): 127–41. http://dx.doi.org/10.1515/gmj.2006.127.

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Abstract Let 𝑋 be an 𝑙-connected space and 𝑈 a connected CW complex with dim 𝑈 ≤ 𝑙. Let 𝐹(𝑈,𝑋) be the space of continuous maps from 𝑈 to 𝑋. In this paper, an algebraic model for the evaluation map 𝐹(𝑈,𝑋) × 𝑈 → 𝑋 is considered in terms of the model for the function space due to Brown and Szczarba [Trans. Amer. Math. Soc. 349: 4931-4951, 1997]. It turns out that the Brown and Szczarba model for the function space coincides with Haefliger's model.

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Foltin, Pavel, Mariusz Gontarczyk, Andrzej Świderski, and Jarosław Zelkowski. "Evaluation model of the companies operating within logistic network." Archives of Transport 36, no. 4 (2015): 21–33. http://dx.doi.org/10.5604/08669546.1185196.

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In the paper authors presented concept of evaluation of complex systems such as logistic companies which operate in competitive environment. Authors also highlighted the importance of the evaluation problem in operational activity, particularly in the properly prepared procedures to be followed, consisted of several stages adapted to currently conducted research. Properly executed evaluation of companies enables customers to take right decisions on contracting services and stimulate the development of those companies. It should be noted that the proposed algorithmic model of assessment may be

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Batsakis, Sotiris, Ilias Tachmazidis, Matthew Mantle, Nikolaos Papadakis, and Grigoris Antoniou. "Model Checking Using Large Language Models—Evaluation and Future Directions." Electronics 14, no. 2 (2025): 401. https://doi.org/10.3390/electronics14020401.

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Large language models (LLMs) such as ChatGPT have risen in prominence recently, leading to the need to analyze their strengths and limitations for various tasks. The objective of this work was to evaluate the performance of large language models for model checking, which is used extensively in various critical tasks such as software and hardware verification. A set of problems were proposed as a benchmark in this work and three LLMs (GPT-4, Claude, and Gemini) were evaluated with respect to their ability to solve these problems. The evaluation was conducted by comparing the responses of the th

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Grack Nelson, Amy, Jean A. King, Frances Lawrenz, et al. "Using a Complex Adaptive Systems Perspective to Illuminate the Concept of Evaluation Capacity Building in a Network." American Journal of Evaluation 40, no. 2 (2018): 214–30. http://dx.doi.org/10.1177/1098214018773877.

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While evaluation capacity building (ECB) may hold promise for fostering evaluation, little is known about how it is operationalized within a network. This article presents initial findings from a National Science Foundation–funded research project (Complex Adaptive Systems as a Model for Network Evaluations) that used concepts from complex adaptive systems theory to develop case studies of ECB within the Nanoscale Informal Science Education Network. The project used a multiple case study approach to explore ECB within four Network workgroups. Cross-case themes documented characteristics of the

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Wu, Han, Jiannan Yu, Siqi Ai, Peng Zhou, and Yuxin Chen. "Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model." Buildings 14, no. 6 (2024): 1586. http://dx.doi.org/10.3390/buildings14061586.

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In developing countries, especially China, large-scale commercial complexes are the current trend in commercial real estate. Compared with other similar buildings, scientific site selection is very important for the smooth construction and efficient operation of these complexes. However, there is still a lack of a targeted evaluation index system and quantitative evaluation methods. Therefore, this paper put forward the evaluation index system and method of large-scale commercial-complex location based on a projection pursuit model. First, this paper comprehensively considered the environmenta

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