Relevant bibliographies by topics / Improved TOPSIS model

Contents

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

Academic literature on the topic 'Improved TOPSIS model'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Improved TOPSIS model"

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Su, Jiahui, and Yidi Sun. "An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises." Sustainability 15, no. 13 (2023): 10046. http://dx.doi.org/10.3390/su151310046.

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The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provide
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Feng, Dingrong, Zheng Chen, Yanxiong Yang, Ruofeng Qiu, Yunfei Qi, and Tao Liu. "Water Allocation Model Based on Improved TOPSIS Method." Journal of Physics: Conference Series 2333, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2333/1/012004.

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Abstract In this paper, in order to improve traditional TOPSIS water weight distribution model, the analytic hierarchy process combined with coefficient of variation method is used to calculate the weight. In the improved model, vertical distance is adopted to calculate the result, which avoids some defects caused by Euclidean distance. In the process of practical application, improved TOPSIS method selected 12 evaluation indicators with water resources development, social benefits, economic benefits, ecological environmental benefits and other aspects of evaluation, making the model more fit
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Huang, Wei Fan. "An Improved TOPSIS Method for Material Selection Model." Advanced Materials Research 951 (May 2014): 120–23. http://dx.doi.org/10.4028/www.scientific.net/amr.951.120.

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Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feas
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Sun, Xiubo, Changlai Guo, and Jian Cui. "Research on evaluation method of water resources carrying capacity based on improved TOPSIS model." La Houille Blanche, no. 5 (October 2020): 68–74. http://dx.doi.org/10.1051/lhb/2020040.

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Based on the improved TOPSIS model, water resources carrying capacity research is carried out. On the basis of constructing a water resources evaluation index system, the weights are introduced from the traditionally constructed index matrix into the Euclidean distance of the TOPSIS model through subjective and objective weighting. When the ideal solution distance is the same, the larger weighted index corresponds to the greater water resources carrying capacity. The improved TOPSIS model is used to evaluate the water resources carrying. Taking Jinzhou as an example, we determine the advantage
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Wang, Xia, and Qingquan Duan. "Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines." Petroleum Science 16, no. 6 (2019): 1479–92. http://dx.doi.org/10.1007/s12182-019-00365-5.

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Abstract A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) is established to identify potential hazards in time. First, a barrier model and fault tree analysis are used to establish an index system for oil and gas pipeline risk evaluation on the basis of five important factors: corrosion, external interference, material/construction, natural disasters, and function and operation. Next, the index weight for oil and gas pipeline risk eval
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Cai, Mei, and Yuanyuan Hong. "Improved TOPSIS Method Considering Fuzziness and Randomness in Multi-Attribute Group Decision Making." Mathematics 10, no. 22 (2022): 4200. http://dx.doi.org/10.3390/math10224200.

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Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a commonly used decision model in multi-attribute group decision making (MAGDM), and a probabilistic linguistic term set (PLTS) is the linguistic variable that can effectively express the fuzziness of decision makers’ (DMs’) preference. However, in actual decision use, PLTS type decision preference needs to be processed before use, which can distort the decision results. The randomness of DM’s preference which also affects the final decision making is often ignored. Therefore, in order to better serve the MAGDM probl
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Liu, Huajian, Hongrui Zhu, and Boyi Yang. "Customer Value Classification Model Based on Improved TOPSIS Method and BP-Adaboost Algorithm." Highlights in Science, Engineering and Technology 115 (October 28, 2024): 277–85. http://dx.doi.org/10.54097/s24sdd38.

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Identifying customer groups with different consumption values can help enterprises understand and analyze customers' purchasing behaviors and preferences, so as to effectively improve their operating profits. In this paper, the customer value evaluation index system is constructed on the basis of existing research on customer value classification using entropy weight method and improved TOPSIS method, and different grades are classified according to the comprehensive score of customers. Subsequently, the customer comprehensive score is used as the output layer, and the BP-Adaboost algorithm is
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Meng, Qing Ying, Cai Li Zhang, Ti Song, and Ning Li Li. "The Application of the Improved TOPSIS Method in Bid Evaluation of Highway Construction." Applied Mechanics and Materials 178-181 (May 2012): 1365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.1365.

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By analysising the disadvantages of the current bid evaluation methods used in highway project,the article builds up TOPSIS model based on coefficient of entropy to evaluating bidding units. First,the weight of each index is calculated by means of entropy weight coefficient method. Then it makes comprehensive assessment about bid evaluation with entropy weight coefficient method and TOPSIS method. The proposed method is applied to evaluating information system integration solutions and satisfactory results are abtained.
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Liu, Linlan, Wei Wang, Guirong Jiang, and Jiang Zhang. "Identifying key node in multi-region opportunistic sensor network based on improved TOPSIS." Computer Science and Information Systems 18, no. 3 (2021): 1041–56. http://dx.doi.org/10.2298/csis200620019l.

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The topology of multi-region opportunistic sensor networks is evolving, and it is difficult to identify the key nodes in the networks by traditional key node identification methods. In this paper, a novel method based on the improved TOPSIS method is proposed to identify the key node from the ferry node. The dynamic topology information is represented by the graph model which is modeled by the temporal reachable graph. Based on the temporal reachable graph, three attributes are constructed to identify the key node, which are average degree, betweenness centrality and message forwarding rate. T
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Shuai, Qing Yan, and Ya Bo He. "Application of Improved TOPSIS Method to the Evaluation on Asphalt Pavement Performance." Applied Mechanics and Materials 253-255 (December 2012): 611–15. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.611.

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As a fundamental work for pavement maintenance management, the evaluation on asphalt pavement performance is the premise of determining the maintenance time and strategy. Aiming at the shortcomings of traditional TOPSIS model, an improved TOPSIS method is proposed to make comprehensive assessment on asphalt pavement performance. Instead of the Euclid distance, the vertical distance between the evaluation object and positive ideal solution is taken as the basis for alternatives ranking. A case study is carried out, indicating that this approach is rational and feasible. The result can provide a
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Dissertations / Theses on the topic "Improved TOPSIS model"

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Madi, Elissa Nadia. "An improved uncertainty in multi-criteria decision making model based on type-2 fuzzy TOPSIS." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/55394/.

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This thesis presents a detailed study about one of the Multiple Criteria Decision Making (MCDM) models, namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), based on fuzzy set theory (FST) by focusing on improving modelling uncertain information provided by a group of decision makers (DMs). An exploration of issues and limitations in current models of standard TOPSIS and fuzzy TOPSIS were made. Despite many variations of type-1 fuzzy TOPSIS (T1-TOPSIS) model, none of the studies explaining the details of the key stages of standard TOPSIS (non-fuzzy) and T1-TOPSIS are
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Books on the topic "Improved TOPSIS model"

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Antonetty, Shayne. Writing Topics and Questions Collection Book : Writing Questions, Samples and Tips to Improve Your Writing Skill: English Model Essays. Independently Published, 2021.

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Witkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.

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This book is the first to make chi-squared model testing, one of the data analysis methods used to discover the Higgs boson and gravitational waves, accessible to undergraduate students in introductory physics laboratory courses. By including uncertainties in the curve fitting, chi-squared data analysis improves on the centuries old ordinary least squares and linear regression methods and combines best fit parameter estimation and model testing in one method. A toolkit of essential statistical and experimental concepts is developed from the ground up with novel features to interest even those
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Cheatle, Martin, and Perry G. Fine, eds. Facilitating Treatment Adherence in Pain Medicine. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190600075.001.0001.

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One of the most distressing features of a healthcare providers practice is that of patient nonadherence. Adherence refers to an active, voluntary, collaborative involvement of the patient in a mutually acceptable course of behavior to produce a desired preventative or therapeutic result. Most of the research in the area of medical adherence has been focused on medication adherence or increasing the likelihood that a patient will take their medications as prescribed by their physician. Adherence also has a broader application with regards to patient behaviors that can either support or undermin
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Narr, Wayne, David S. Schechter, and Laird B. Thompson. Naturally Fractured Reservoir Characterization. Society of Petroleum Engineers, 2006. http://dx.doi.org/10.2118/9781613999615.

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Naturally fractured reservoirs present unique and specialized challenges to hydrocarbon extraction. Naturally Fractured Reservoir Characterization seeks to confront many of these challenges by providing an introduction to the engineering and geological character of naturally fractured reservoirs. The focus is on understanding fractures in a reservoir – how to determine whether fractures are important to hydrocarbon producibility, and if so, how to analyze the fracture system for the purpose of improved reservoir management. Topics discussed include the geological character of fracture systems,
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Goode, Keisha L., and Barbara Katz Rothman. Pregnancy and Birth. ABC-CLIO, LLC, 2021. http://dx.doi.org/10.5040/9798216000518.

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Pregnancy and Birth: A Reference Handbook provides students with information too often ignored in sex education—on what pregnancy and birth are, have been, and can be as transformative personal and social events. Pregnancy and Birth: A Reference Handbook is a person-centered reference book on pregnancy and childbirth in the United States. The medicalization of pregnancy and childbirth is a theme; however, primary emphasis is on the historical and contemporary significance of the Midwifery Model of Care and how that can improve outcomes for all. The volume opens with a background and history of
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Ross, Jeffrey. Making News of Police Violence. Praeger, 2000. http://dx.doi.org/10.5040/9798400681547.

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Although many people consider excessive police violence disconcerting, if, when, and how they voice their opinion or respond by taking some sort of action has generally remained empirically unknown. In the hope of understanding this process, Ross has developed a four-stage model, based on a review of the literature and on interviews with the relevant actors. He then uses this tool to analyze police violence that occurred in Toronto, Canada and New York City, over a fifteen-year period. To better focus the study, he uses in-depth case studies of three well-publicized cases of police violence fr
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Gulliford, Martin, and Edmund Jessop, eds. Healthcare Public Health. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198837206.001.0001.

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Healthcare public health is concerned with the application of population sciences to the design, organization, and delivery of healthcare services, with the ultimate aim of improving population health. This book provides a modern introduction to the methods and subject matter of healthcare public health, bringing together coverage of all the key areas in a single volume. Topics include healthcare needs’ assessment; access to healthcare; knowledge management; ethical issues; involvement of patients and the public; population screening; health promotion and disease prevention; new service models
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Walter, Eric, and Richard Walter. Data Acquisition from Light-Duty Vehicles Using OBD and CAN. SAE International, 2018. http://dx.doi.org/10.4271/r-458.

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Modern vehicles have multiple electronic control units (ECU) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs are networked together to share information directly with each other. This in-vehicle network provides a data opportunity for improved maintenance, fleet management, warranty and legal issues, reliability, and accident reconstruction. Data Acquisition from Light-Duty Vehicles Using OBD and CAN is a guide for the reader on how to acquire and correctly interpret data from the in-vehicle network of light-duty (LD) vehicles.
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School Health, Policy & Practice. 6th ed. American Academy of Pediatrics, 2004. http://dx.doi.org/10.1542/9781581105117.

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Provides pediatric health care professionals with guidelines for developing health programs for school-aged children. The link between a child’s health and his or her performance in school has been firmly established. What isn’t always clear are the best ways to promote student health to improve student success. This AAP manual provides pediatric health care professionals with guidelines for communicating with schools and developing health programs for school-aged children, with a focus on health and illness management as they relate to a child’s educational problems and potential. Specific he
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Riley, Richard D., Danielle van der Windt, Peter Croft, and Karel G. M. Moons, eds. Prognosis Research in Health Care. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198796619.001.0001.

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What is going to happen to me, doctor?’ ‘What outcomes am I likely to experience?’ ‘Will this treatment work for me?’ Prognosis—forecasting the future—has always been a part of medical practice and caring for the sick. In modern healthcare it now has a new importance, with large financial investments being made to personalize clinical decisions and tailor treatment strategies to improve individual health outcomes based on prognostic information. Prognosis research—the study of future outcomes in people with a particular health condition—provides the critical evidence for obtaining, evaluating,
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Book chapters on the topic "Improved TOPSIS model"

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Zhao, Hejun, Yafeng Han, Stoyanets Nataliya, and Guohou Li. "Research on Improved Two-Level Multi-objective Optimization Model Based on TOPSIS." In Advances in Real-Time Intelligent Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55848-1_29.

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Zhao, Meng, and Rong-rong Ren. "The Decision-Making Model for Aviation Project’s Supplier Selection Based on Improved TOPSIS." In LISS 2012. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32054-5_165.

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Fan, Jingdong, Huiting Guo, Chengjun Huo, et al. "An Estimation Model of Low-Carbon Performance for Gird Corporations Based on Improved TOPSIS." In Environmental Governance, Ecological Remediation and Sustainable Development. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52901-6_125.

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Beale, Chris, Ryan Schultz, and Deborah Fowler. "Improved Expansion Results Using Regularized Solutions." In Topics in Modal Analysis & Testing, Volume 8. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47717-2_11.

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Cheng, Junjie, and Kexin Qiao. "Improved Graph-Based Model for Recovering Superpoly on Trivium." In Topics in Cryptology – CT-RSA 2023. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30872-7_9.

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Obando, Sergio E., and Peter Avitabile. "Hybrid EMA/OMA Data Collection/Reduction for Improved Modal Characterization." In Topics in Modal Analysis I, Volume 7. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04753-9_24.

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Berardengo, M., S. Manzoni, M. Redaelli, and M. Vanali. "SSDI Technique Evolution to Improve Attenuation Performances with Random Disturbances." In Topics in Modal Analysis, Volume 7. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6585-0_10.

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Farajpour, Ismail, and Sez Atamturktur. "Ranking Constituents of Coupled Models for Improved Performance." In Topics in Experimental Dynamic Substructuring, Volume 2. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6540-9_6.

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Fladung, William, and Håvard Vold. "An Improved Implementation of the Orthogonal Polynomial Modal Parameter Estimation Algorithm Using the Orthogonal Complement." In Topics in Modal Analysis, Volume 10. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15251-6_16.

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Harvie, Julie, and Peter Avitabile. "An Improved Expansion Process for Guyan Reduced Models: Technique for Improved Guyan Expansion Reconstruction (TIGER)." In Special Topics in Structural Dynamics, Volume 6. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04729-4_10.

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Conference papers on the topic "Improved TOPSIS model"

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Yao, Duoduo, Yuhang Ying, Nuoya Lv, Ling Qiu, and Zhicheng Liu. "Application of Improved GRA-TOPSIS Model in Electric Power Engineering Construction Risk Evaluation." In 2024 International Conference on Telecommunications and Power Electronics (TELEPE). IEEE, 2024. http://dx.doi.org/10.1109/telepe64216.2024.00019.

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Wang, Ping, Haiguang Li, Zhiliang Zhou, and Xiaoyan Li. "Research on Multi-Target Tracking Data Source Optimization Method Based on Improved Prospect CRITIC-TOPSIS Model." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929316.

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Zhang, Yuelou, Lingshan Chen, and Ning Li. "Research on the Evaluation of Lane-changing Models Based on Improved TOPSIS." In 2025 9th International Conference on Robotics, Control and Automation (ICRCA). IEEE, 2025. https://doi.org/10.1109/icrca64997.2025.11011085.

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Naraharisetti, Pavan Kumar. "Laying the foundations of Machine Learning in Undergraduate Education through Engineering Mathematics." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.121271.

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Some educators place an emphasis on the commonalities between engineering mathematics with process control, among others and this helps students see the bigger picture of what is being taught. Traditionally, some of the concepts such as diffusion and heat transfer are taught with a mathematical point of view. Now-a-days, Machine Learning (ML) has emerged as topic of greater interest to both educators and learners and new and disparate modules are sometimes introduced to teach the same. With the emergence of these new topics, some students (falsely) believe that ML is a new field that is someho
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Thurston, Garrett, David Guzinsky, Kendall Pond, Mike Adami-Sampson, and Matthew Carter. "Product Line Engineering (PLe) within in a Product Line Enterprise (PLE) leveraging Model-Based System Engineering (MBSE) to Achieve Technologically Enabled Architecture Centric Virtual Integration Process (ACVIP)." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12891.

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This paper seeks to position Product Line Engineering (PLe) in the context of an enterprise which endeavors to achieve improved business execution outcomes resulting from the implementation of a Product Line Enterprise (PLE) and Model Based Systems Engineering (MBSE). This topic is relevant to the vertical lift community in that it is one of the major enabling approaches to improved acquisition execution of the Future Vertical Lift program (FVL). It is crucial that the foundational tenets of the PLe are extended to the product line management at the enterprise level to fully realize the busine
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Wei, Xinqiang, Baosheng Zhang, and Qing Wang. "Improved TOPSIS model based on interval numbers." In 2013 International Conference of Information Technology and Industrial Engineering. WIT Press, 2013. http://dx.doi.org/10.2495/itie130081.

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Zhang, Jianing, Wenbing Chang, and Shenghan Zhou. "An improved MCDM model with cloud TOPSIS method." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162042.

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Gu, Zhen, Yu Wang, and Lu Cao. "Research on supplier selection model based on an improved TOPSIS." In 2016 International Conference on Advances in Management, Arts and Humanities Science (AMAHS 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/amahs-16.2016.30.

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Wang, Yonglin, and Shengjun Wen. "An improved grey relational TOPSIS based on cloud model theory." In 2018 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2018. http://dx.doi.org/10.1109/icamechs.2018.8506799.

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Li, Jingxuan, and Hongshan Zhao. "Power Efficiency Evaluation Model for Industrial Users based on Improved TOPSIS." In 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020. http://dx.doi.org/10.1109/itaic49862.2020.9338785.

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Reports on the topic "Improved TOPSIS model"

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Katzenberger, John, and Susan Joy Hassol. Elements of Change Series: Scaling from Site-Specific Observations to Global Model Grids. Aspen Global Change Institute, 1998. http://dx.doi.org/10.69925/towa4272.

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Much attention in climate modeling has focused on how to downscale from large scale model output to smaller scales in order to resolve critical features such as mountain ranges. This Elements of Change report looks at the other side of the scale problem. It addresses the problem of known as upscaling, which is scaling from areas measured in square meters to larger aggregates. In this report are discussions of the practical and theoretical problems that arise with upscaling in a variety of regions. Since upscaling is widely required in models that forecast climate and other forms of global chan
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Dietrich, Anna Mracek. Unsettled Topics in the General Aviation Autonomy Landscape. SAE International, 2022. http://dx.doi.org/10.4271/epr2022004.

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The extent of automation and autonomy used in general aviation (GA) has been accelerating dramatically. This has huge potential benefits for safety given that 75% of accidents in personal and on-demand GA are due to pilot error. However, an approach to certifying autonomous systems that relies on reversionary modes limits their potential to improve safety. Placing a human pilot in a situation where they are suddenly tasked with flying an airplane in a failed situation, often without sufficient situational awareness, is overly demanding. This, coupled with advancing technology that may not alig
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Alonso-Robisco, Andres, and Jose Manuel Carbo. Analysis of CBDC Narrative OF Central Banks using Large Language Models. Banco de España, 2023. http://dx.doi.org/10.53479/33412.

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Central banks are increasingly using verbal communication for policymaking, focusing not only on traditional monetary policy, but also on a broad set of topics. One such topic is central bank digital currency (CBDC), which is attracting attention from the international community. The complex nature of this project means that it must be carefully designed to avoid unintended consequences, such as financial instability. We propose the use of different Natural Language Processing (NLP) techniques to better understand central banks’ stance towards CBDC, analyzing a set of central bank discourses f
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Kam, Chester. Mixture Modeling for Measurement Scale Assessment. Instats Inc., 2023. http://dx.doi.org/10.61700/8ll0tq1hym0nq469.

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This seminar will introduce the use of mixture models for measurement scale assessment, covering topics such as factor analysis and careless response detection. As a set of worked examples, mixture models will be applied to multitrait-multimethod (MTMM) and bifactor models. By attending this seminar, you will learn how to understand and statistically handle different types of method or source variance using mixture models, which will improve the quality and rigor of your research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD stude
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McKinnon, Mark, Craig Weinschenk, and Daniel Madrzykowski. Materials and Products Database Technical Reference Guide. Fire Safety Research Institute, UL Research Institutes, 2023. http://dx.doi.org/10.54206/102376/rnnp3809.

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For the past several years, the NIJ Technology Working Group’s Operational Requirements for Fire and Arson Investigation have included several scientific research needs that require improved knowledge of properties of materials that are common in the built environment, and therefore likely to be involved in a fire scene. The specific areas of research include: adequate materials data inputs for accurate computer models, understanding the effect of materials properties on the development and interpretation of fire patterns, and evaluation of incident heat flux profiles to walls and neighboring
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Ismailova, L. Yu, O. O. Zhuravleva, O. I. Bazhenova, V. S. Zaytsev, and I. O. Sleptsov. educational computer game "family meeting" (version 1.0). SIB-Expertise, 2022. http://dx.doi.org/10.12731/er0578.04072022.

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COMPUTER LEARNING GAME DESIGNED TO STUDY FAMILY LAW. THE GAME ALLOWS IN AN INTERACTIVE MODE TO TEST YOUR STRENGTH IN SOLVING A LARGE NUMBER OF THEORETICAL AND PRACTICAL QUESTIONS. THE STUDENT CAN WORK OUT NEW TOPICS BY USING THE GAME’S EXPLANATIONS AND REFERENCES TO NORMATIVE ACTS SO CHECK YOUR UPTAKE. THE GAME CHARACTERS AND THEIR EXPRESSIONS MOTIVATE THE PLAYER TO CAREFULLY WORK WITH THE OBJECT AND THE OBJECT OF THE GAME AND TO WORK ON THESE TOPICS INDEPENDENTLY. THE CONTENT OF THE GAME IS IN ACCORDANCE WITH THE STATE STANDARD PROGRAM OF "JURISPRUDENCE". THE MAIN OBJECTIVE OF THE GAME. THE G
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Ismailova, L. Yu, S. V. Kosikov, V. S. Zaytsev, and I. O. Sleptsov. educational computer game THE ADVENTURES OF THE GUSARIK" OR THE BASIS OF THE THEORY OF THE STATE AND LAW (version 1.0). SIB-Expertise, 2022. http://dx.doi.org/10.12731/er0577.04072022.

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TRAINING GAME IS DESIGNED TO OBTAIN NEW AND TEST EXISTING KNOWLEDGE IN THE FIELD OF ONE OF THE MOST IMPORTANT LEGAL DISCIPLINES - THEORY OF STATE AND LAW. GAME ALLOWS TO TEST ITS FORCES IN INTERACTIVE MODE IN SOLVING A LARGE NUMBER OF THEORETICAL AND PRACTICAL QUESTIONS. THE STUDENT CAN WORK OUT NEW TOPICS USING NUMEROUS COMMENTS AND CHECK THE RESULTS OF THEIR ASSIMILATION. GAME CHARACTER'S CLUES AND FACIAL EXPRESSIONS MOTIVATE THE PLAYER TO CAREFULLY WORK WITH THE OBJECT AND ALLOW YOU TO INDEPENDENTLY WORK ON TOPICS THAT CAUSED DIFFICULTIES IN THE CONTROL MODE. GAME CONTENT COMPLIES WITH THE
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Pasupuleti, Murali Krishna. Stochastic Computation for AI: Bayesian Inference, Uncertainty, and Optimization. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv325.

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Abstract: Stochastic computation is a fundamental approach in artificial intelligence (AI) that enables probabilistic reasoning, uncertainty quantification, and robust decision-making in complex environments. This research explores the theoretical foundations, computational techniques, and real-world applications of stochastic methods, focusing on Bayesian inference, Monte Carlo methods, stochastic optimization, and uncertainty-aware AI models. Key topics include probabilistic graphical models, Markov Chain Monte Carlo (MCMC), variational inference, stochastic gradient descent (SGD), and Bayes
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Pritchard, Sue, and Emily Miles. Where are the women in major projects leadership? Association for Project Management, 2018. http://dx.doi.org/10.61175/wkff6356.

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This report asks where the women are in major project leadership and examines the success of gender balance initiatives that are being adopted across the sector. The aim for this research was to bring together different schools of thought on the topic of gender and leadership, applying it to the context of project management and megaproject leadership in the UK. The report reviews the status gender balance in UK megaprojects and brings in ideas from sociology, psychology, gender theory and leadership models. In doing so, the authors present the argument for adopting a different approach to gen
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Vaziri, Natalie, Michaela Bonnett, Meaghan Kennedy, and Teri Garstka. Linking Community Resilience to Health and Wellness. Orange Sparkle Ball, 2023. http://dx.doi.org/10.61152/pvtk9816.

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Community Resilience (CR) is a topic on many people’s minds these days, and represents a community’s and an individual’s ability to weather adversity, as well as to adapt and recover. It also represents a community’s strength and readiness to respond to changes and capitalize on opportunities. Adaptation and recovery are intrinsically linked to the health and wellness of a community or individual, and measuring the link between CR and a community’s health is a point of key importance. Community resilience is complex, so scholars and stakeholders have developed a variety of models and metrics t
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