Academic literature on the topic 'Multi-criteria Analysis'

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Journal articles on the topic "Multi-criteria Analysis"

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Ionita, Craisor-Constantin. "NATO’s Strategic Interest in Africa - a Possible Multi-Criteria Analysis." Vojenské rozhledy 31, no. 3 (September 13, 2022): 23–40. http://dx.doi.org/10.3849/2336-2995.31.2022.03.023-040.

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The paper demonstrates that the Multi-Criteria Analysis (MCA) is one very useful analytical tool and method to help Allied political decision makers and military strategists to rethink the Alliance’s new role and mission in Africa, as the Southern neighbour of NATO and the EU having great possibilities to influence, either positively or negatively, the European and Euro-Atlantic security. Thus, the paper’s scope is to use MCA in order to highlight the importance of Africa for NATO’s Geopolitics and what Member States should undertake in order to join the competitive North African and Sahel region’s arms and presence race against the increased Russian and Chinese economic and military interests.
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Siroky, J., J. Krajcova, and J. Hakalova. "The taxation of agricultural land with the use of multi-criteria analysis." Agricultural Economics (Zemědělská ekonomika) 62, No. 5 (May 27, 2016): 197–204. http://dx.doi.org/10.17221/183/2015-agricecon.

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The issue of land taxation is currently often neglected in scientific articles despite the existence of the land taxation and property taxes in most countries of the European Union. This paper deals with a specific property tax in the Czech Republic – the tax on the acquisition of immovable property. The aim of the paper is, on the one hand, to characterise the tax on the acquisition of immovable property, its general principles and the classification in land taxation, and on the other hand, to analyse the possibilities of a tax entity for the tax base determination and the tax liability calculation. For this purpose, a model example of taxation of the transfer of immovable property for consideration is used, to which the method of the multi-criteria decision-making is applied as an opportunity to use the mathematical methods for the transactional property tax. Based on the method of the multi-criteria analysis of alternatives, it was found that in the model example, it was more advantageous for the tax entity to use the indicative value.
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Zlaugotne, Beate, Lauma Zihare, Lauma Balode, Antra Kalnbalkite, Aset Khabdullin, and Dagnija Blumberga. "Multi-Criteria Decision Analysis Methods Comparison." Environmental and Climate Technologies 24, no. 1 (January 1, 2020): 454–71. http://dx.doi.org/10.2478/rtuect-2020-0028.

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AbstractMulti-criteria decision analysis (MCDA) is widely used to solve various decision problems through alternative evaluation. MCDA methods can be used in every field that can define a problem, alternatives and criteria. However, finding the appropriate method can influence the results, in this research five MCDA methods have been tested on the renewable energy sector in Latvia to find the best alternative. The main results showed that TOPSIS, VIKOR and PROMETHEE-GAIA have similar priority selection and the highest ranking was selected for hydropower plant, but MULTIMOORA and COPRAS results were beneficial to Solar PV.
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Selivanovs, Jevgenijs, Edgars Vigants, Vivita Priedniece, Ivars Veidenbergs, and Dagnija Blumberga. "Flue gas treatment multi-criteria analysis." Energy Procedia 128 (September 2017): 379–85. http://dx.doi.org/10.1016/j.egypro.2017.09.056.

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Pisoni, Enrico, Claudio Carnevale, and Marialuisa Volta. "Multi-criteria analysis for PM10 planning." Atmospheric Environment 43, no. 31 (October 2009): 4833–42. http://dx.doi.org/10.1016/j.atmosenv.2008.07.049.

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Beinat, Euro. "Multi-criteria analysis for environmental management." Journal of Multi-Criteria Decision Analysis 10, no. 2 (2001): 51. http://dx.doi.org/10.1002/mcda.294.

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Yatsalo, Boris, Alexander Korobov, and L. Martínez. "Fuzzy multi-criteria acceptability analysis: A new approach to multi-criteria decision analysis under fuzzy environment." Expert Systems with Applications 84 (October 2017): 262–71. http://dx.doi.org/10.1016/j.eswa.2017.05.005.

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Urli, B., and R. Nadeau. "Evolution of multi-criteria analysis: a scientometric analysis." Journal of Multi-Criteria Decision Analysis 8, no. 1 (January 1999): 31–43. http://dx.doi.org/10.1002/(sici)1099-1360(199901)8:1<31::aid-mcda222>3.0.co;2-1.

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Doubek, V., J. Švasta, and L. Ackermann Blažková. "  Agricultural trade in example of milk from perspective of multi-criteria analysis." Agricultural Economics (Zemědělská ekonomika) 58, No. 7 (July 23, 2012): 315–23. http://dx.doi.org/10.17221/168/2011-agricecon.

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Traditional farming on agricultural land under the standard soil and natural-climatic conditions within the EU is based on the structure of the polygastric livestock (especially cattle), which ensures the complex carbon recycling and its return to arable soil. In the last 15 years, we have been witnessing to a sharp decline in the number of dairy cows in the Czech Republic. This fact has resulted in certain destabilising factors that have disrupted the stability of the biological system. Breeding dairy cows and its profitability is a function of the conditions for the realisation of milk production. This paper examines these aspects within a complex of factors from the use of milk production to the structure of the decision making process and it classifies and quantifies the individual problems from the perspective of the multi-criteria analysis. &nbsp;
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Adiguna, Surya, Dewanti Dewanti Dewanti, and JB Odoki. "Multi-Year Program under Budget Constraints Using Multi-Criteria Analysis." Journal of the Civil Engineering Forum 3, no. 2 (September 12, 2017): 353. http://dx.doi.org/10.22146/jcef.26791.

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Road investment appraisal requires joint consideration of multiple criteria which are related to engineering, economic, social and environmental impacts. The investment consideration could be based on the economic analysis but however for some factors, such as environmental, social, and political, are difficult to quantify in monetary term. The multi-criteria analysis is the alternative tool which caters the requirements of the issues above. The research, which is based on 102 class D and class E paved road sections in Kenya, is about to optimize road network investment under budget constraints by applying a multi-criteria analysis (MCA) method and compare it with the conventional economic analysis. The MCA is developed from hierarchy structure which is considered as the analytical framework. The framework is based on selected criteria and weights which are assigned from Kenya road policy. The HDM-4 software is applied as decision-making tool to obtain the best investment alternatives and road work programs from both MCA and economic analysis. The road work programs will be the results from the analysis using both MCA and economic analysis within HDM-4 software to see the difference and compare the results between both programs. The results from MCA show 51 road sections need periodic work, which is overlay or resealing. Meanwhile, 51 others need rehabilitation or reconstruction. The five years road work program which based on economic analysis result shows that it costs almost Kenyan Shilling (KES) 130 billion to maintain the class D and E paved road in Kenya. Meanwhile, the MCA only requires KES 59.5 billion for 5 years program. These results show huge margin between two analyses and somehow MCA result provides more efficient work program compared to economic analysis.
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Dissertations / Theses on the topic "Multi-criteria Analysis"

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Morris-Oswald, Monica. "Social criteria for multi-criteria decision analysis in flood management." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ57562.pdf.

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Treitz, Martin. "Production process design using multi-criteria analysis." Karlsruhe : Univ.-Verl. Karlsruhe, 2006. http://www.uvka.de/univerlag/volltexte/2006/178/.

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Anil, Kivanc A. "Multi-criteria analysis in naval ship design." Thesis, Monterey California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/2325.

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Numerous optimization problems involve systems with multiple and often contradictory criteria. Such contradictory criteria have been an issue for marine/naval engineering design studies for many years. This problem becomes more important when one considers novel ship types with very limited or no operational record. A number of approaches have been proposed to overcome these multiple criteria design optimization problems. This Thesis follows the Parameter Space Investigation (PSI) technique to address these problems. The PSI method is implemented with a software package called MOVI (Multi-criteria Optimization and Vector Identification). Two marine/naval engineering design optimization models were investigated using the PSI technique along with the MOVI software. The first example was a bulk carrier design model which was previously studied with other optimization methods. This model, which was selected due to its relatively small dimensionality and the availability of existing studies, was utilized in order to demonstrate and validate the features of the proposed approach. A more realistic example was based on the "MIT Functional Ship Design Synthesis Model" with a greater number of parameters, criteria, and functional constraints. A series of optimization studies conducted for this model demonstrated that the proposed approach can be implemented in a naval ship design environment and can lead to a large design parameter space exploration with minimum computational effort.
Lieutenant Junior Grade, Turkish Navy
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Butler, John Christopher. "Simulation analysis of multi-criteria decision models /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Anil, Kivanc Ali. "Multi-criteria analysis in Naval Ship Design /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FAnil.pdf.

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Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, March 2005.
Thesis Advisor(s): Fotis Papoulias, Roman B. Statnikov. Includes bibliographical references (p. 241). Also available online.
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Vlassis, Stamatis S. "Intelligent decision aid for multi criteria decision analysis." Thesis, University of Warwick, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287679.

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Cortes, Quiroz C. A. "Design, analysis and multi-criteria optimization of micromixers." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1357309/.

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Mixing is a key process in microfluidic systems since that samples and reagents generally need to be mixed thoroughly before chemical or biological analysis or reactions. Micromixers are designed to fulfil this critical process. In general, the development of microdevices is a competitive field that requires from researchers shorter times and lower costs in prototyping. Computational Fluid Dynamics (CFD) helps in reducing the time from concept to device design. Intuition and experience of the designer is usually behind its application on design improvement, by analyzing some physical variables to determine the effect of design parameters and to adjust them accordingly to the pursued objectives. In this thesis, a design and optimization strategy is presented and used for the analysis and design of micromixers. The method systematically integrates CFD with an optimization strategy based on the use of Design of Experiments, Surrogate Modelling and Multi-Objective Genetic Algorithm techniques. The aim is to define optimum designs that give the trade-off of the performance parameters, which in this study are the mixing index, defined on the basis of mass concentration distribution, and the pressure drop in the microchannel. Three types of micromixers have been studied and their geometric parameters have been optimized. They are the Staggered Herringbone Mixer and two novel designs, a planar micromixer with baffles in the microchannel and a 3-D T-type micromixer. A completed fabrication method was implemented as part of this thesis work and it was used to fabricate some of the micromixers. Experimental measurements and published data have been used to validate the numerical results. The outcomes of this thesis demonstrate that using advanced optimisation techniques on the basis of CFD solutions and analyses allows the design of optimum micromixers for different operation conditions, which can be set by the designer, without being necessary to use a referential design to start the method.
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Leach, Christopher. "Multi-Actor Multi-Criteria Decision Analysis of Wind Power Community Benefit Schemes." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-370149.

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Community benefit schemes in the context of wind power are increasingly provisioned by developers as a means of generating local socio-economic and environmental value, fostering social relations and strengthening acceptance. Determining an appropriate and effective benefit scheme can prove challenging, given the variation of exposed stakeholders, diversity in schemes and the lack of decision making guidance. A multi-criteria decision aid framework for identifying the most appropriate scheme(s) for a hypothetical wind power project is developed. The framework is based on AHP and PROMETHEE II decision support tool, where six (6) alternative schemes are assessed using the preferences of five (5) stakeholders and their relevant criteria. The framework was applied to a fictitious development on the island of Gotland. Results from the applied example indicate that the most locally suited outcome was the ownership based models. It is anticipated that the methodological framework can help identify the scheme(s) that respond to the needs and preferences of the locality. Moreover, a decision making platform of this nature can provide practical support to developers, communities and local authorities, and contribute to a more effective and efficient development and negotiation process surrounding community benefit schemes.
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Martinov, Sonja. "Multi-Actor Multi-Criteria Decision Analysis of EU Policies for First Generation Biofuels." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-254952.

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In this paper multi-actor multi-criteria decision aid methodology are developed to examine the impacts of EU policies related to first generation biofuels on identified key stakeholders. The thesis focuses on the integration of relevant qualitative and quantitative criteria defined by key stakeholders into one comprehensive evaluation process, to serve as a decision support tool for decision makers. Weight allocation of the defined criteria will be assessed by using the Analytic Hierarchy Process (AHP) framework, where the multi-criteria decision-aid method PROMETHEE II is used to rank relevant policy alternatives based on the information provided. In the end, results will help the decision makers to identify the impacts of different EU policy alternatives on each stakeholder group.
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Jaini, Nor. "An efficient ranking analysis in multi-criteria decision making." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/an-efficient-ranking-analysis-in-multicriteria-decision-making(c5a694d5-fd43-434f-9f9f-b86f7581b97c).html.

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This study is conducted with the aims to develop a new ranking method for multi-criteria decision making problem with conflicting criteria. Such a problem has a set of Pareto solutions, where the act of improving a value of one solution will result in depreciating some of the others. Thus, in this type of problem, there is no unique solution. However, out of many available options, the Decision Maker eventually has to choose only one solution. With this problem as the motivation, the current study develops a compromise ranking algorithm, namely a trade-off ranking method. The trade-off ranking method able to give a trade-off solution with the least compromise compared to other choices as the best solution. The properties of the algorithm are studied in the thesis on several test cases. The proposed method is compared against several multi-criteria decision making methods with ranking based on the distance measure, which are the TOPSIS, relative distance and VIKOR. The sensitivity analysis and uncertainty test are carried out to examine the methods robustness. A critical criteria analysis is also done to test for the most critical criterion in a multi-criteria problem. The decision making method is considered further in a fuzzy environment problem where the fuzzy trade-off ranking is developed and compared against existing fuzzy decision making methods.
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Books on the topic "Multi-criteria Analysis"

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Linkov, Igor, Emily Moberg, Benjamin D. Trump, Boris Yatsalo, and Jeffrey M. Keisler. Multi-Criteria Decision Analysis. Second edition. | Boca Raton : CRC Press, 2020. |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429326448.

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Ishizaka, Alessio, and Philippe Nemery. Multi-Criteria Decision Analysis. Chichester, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118644898.

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Gul, Muhammet, Melih Yucesan, and Melike Erdogan. Multi-Criteria Decision Analysis. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904.

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Great Britain. Department of the Environment, Transport and the Regions., ed. Multi-criteria analysis: A manual. London: Department of the Environment, Transport and the Regions, 2000.

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Nermend, Kesra. Multi-Criteria and Multi-Dimensional Analysis in Decisions. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40538-9.

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Vlassis, Stamatis S. Intelligent decision aid for multi criteria decision analysis. [s.l.]: typescript, 1998.

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Mateo, José Ramón San Cristóbal. Multi criteria analysis in the renewable energy industry. London: Springer, 2012.

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Marsh, Kevin, Mireille Goetghebeur, Praveen Thokala, and Rob Baltussen, eds. Multi-Criteria Decision Analysis to Support Healthcare Decisions. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47540-0.

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San Cristóbal Mateo, José Ramón. Multi Criteria Analysis in the Renewable Energy Industry. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2346-0.

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José Ramón San Cristóbal Mateo. Multi criteria analysis in the renewable energy industry. London: Springer, 2012.

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Book chapters on the topic "Multi-criteria Analysis"

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Mateo, José Ramón San Cristóbal. "Multi-Criteria Analysis." In Multi Criteria Analysis in the Renewable Energy Industry, 7–10. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2346-0_2.

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Talhofer, Václav, Šárka Hošková-Mayerová, and Alois Hofmann. "Multi-criteria Analysis." In Quality of Spatial Data in Command and Control System, 39–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94562-0_3.

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Huguenin, Jean-Marc. "Data Envelopment Analysis." In Multi-Criteria Decision Analysis, 235–74. Chichester, UK: John Wiley & Sons Ltd, 2013. http://dx.doi.org/10.1002/9781118644898.ch10.

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Thakkar, Jitesh J. "Graph Theoretic Analysis (GTA)." In Multi-Criteria Decision Making, 291–309. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_17.

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Ozbey, Sumeyye, Dilber Baskak, Halit Serdar Saner, Melih Yucesan, Melike Erdogan, and Muhammet Gul. "A Brief Review of the Applications of MCDA in Disaster Management." In Multi-Criteria Decision Analysis, 1–15. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-1.

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Lo, Huai-Wei, Melike Erdogan, Melih Yucesan, and Muhammet Gul. "Emergency Department Preparedness Assessment for Outbreaks by a Combined Bayesian BWM–RIM Model." In Multi-Criteria Decision Analysis, 169–90. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-12.

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Tas, Pelin Gulum, Bahar Yalcin Kavus, Ertugrul Ayyildiz, and Alev Taskin. "UAV Selection for Post-Disaster Medical Supply Distribution Using a Two-Level Interval-Valued Pythagorean Fuzzy AHP Integrated Interval-Valued Pythagorean Fuzzy VIKOR Methodology, and an Application." In Multi-Criteria Decision Analysis, 267–79. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-18.

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Kılıç, Mehtap, Miraç Karakoç, and Cüneyt Çalışkan. "The Use of VIKOR in Location Selection of Field Hospitals." In Multi-Criteria Decision Analysis, 135–53. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-10.

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Göktekin, Zekiye, and Ahmet Bahadır Şimşek. "Drone Evaluation and Selection for Training in Disaster Preparedness Phases with Interval MCDA Techniques." In Multi-Criteria Decision Analysis, 155–67. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-11.

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Ayhan, Esra, and Serap Pelin Türkoğlu. "Evaluation of the Performance of the Health Systems of 12 OECD Countries in Terms of Preparedness for Pandemics." In Multi-Criteria Decision Analysis, 123–34. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-9.

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Conference papers on the topic "Multi-criteria Analysis"

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Koziolek, Heiko. "Session details: Multi-criteria quality analysis." In QUASOSS '10: 2nd International Workshop on the Quality of Service-Oriented Software Systems. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/3254522.

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Lund, Erik, Leon Johansen, Christian Hvejsel, and Esben Olesen. "Multi-Criteria Multi-Material Topology Optimization of Laminated Composite Structures." In 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-5897.

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Mackman, Thomas, and Christian Allen. "Aerodynamic Data Modeling Using Multi-Criteria Adaptive Sampling." In 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-9194.

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Krzemiński, Michał. "Comparison of selected multi-criteria assessment methods." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015). Author(s), 2016. http://dx.doi.org/10.1063/1.4951976.

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Cordeiro, Francyelly Giovany, Barbara Stolte Bezerra, Anna Silvia P. Peixoto, and Ilza Machado Kaiser. "Multi-Criteria Spatial Analysis of Hazardous Materials Transportation." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.118.

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Del Amo, Ana, Luis Garmendia, Daniel Gomez, and Javier Montero. "A Spatial Classification Model for Multicriteria Analysis." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369112.

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Wang, Lifeng, and Zhengping Wu. "Evaluation of e-commerce system trustworthiness using multi-criteria analysis." In 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM). IEEE, 2014. http://dx.doi.org/10.1109/mcdm.2014.7007192.

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Budhakooncharoen, S., and B. Dhabhisara. "Determination of the weighting factors of criteria influencing highway flooding using Multi Criteria Analysis based on an Analytic Hierarchy Process." In RISK ANALYSIS 2014. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/risk140381.

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Tawfik, Hissam, Atulya Nagar, and Terrence Fernando. "Multi-Criteria Spatial Analysis of Building Layouts." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3177.

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This paper proposes a multi-criteria based approach for the analysis of building layouts, from space quality and cost related perspectives. A computational prototype is developed to analyse a building layout from various accessibility related measures in order to evaluate the quality of the building special layout. A case study is used to demonstrate the assessment of a building layout based on a range of criteria.
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Longoni, Laura. "MULTI CRITERIA ANALYSIS SUPPORTING EFFECTIVE LANDSLIDE MODELING." In 16th International Multidisciplinary Scientific GeoConference SGEM2016. Stef92 Technology, 2016. http://dx.doi.org/10.5593/sgem2016/b13/s02.025.

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Reports on the topic "Multi-criteria Analysis"

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Linke, Ethan, Nazmina Mahmoudzadeh, and Darren Holland. Prioritising Foodborne Disease with Multi-Criteria Decision Analysis. Food Standards Agency, November 2021. http://dx.doi.org/10.46756/sci.fsa.gex408.

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In recent years, the FSA has published a series of research projects which have produced estimates of the frequency and burden of thirteen different foodborne diseases. This document outlines the methodology and results of a multi-criteria decision analysis (MCDA) used to rank them in order of their detrimental effect on UK society.
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Gerdes, John W., and Eric Spero. A Compact Review of Multi-criteria Decision Analysis Uncertainty Techniques. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada582195.

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Kuswa, Glenn W., Jeffrey Yeenien Tsao, Thomas E. Drennen, Jason V. Zuffranieri, Orman Henrie Paananen, Scott A. Jones, Juergen G. Ortner, Jeffrey D. Brewer, and Maximo M. Valdez. Multi-attribute criteria applied to electric generation energy system analysis LDRD. Office of Scientific and Technical Information (OSTI), October 2005. http://dx.doi.org/10.2172/923152.

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Wang, Qing, Zi-Xu Wang, Nasu M. Otomi, and Shinji Mine. Association between cutoffs for classifying high- and low-volume hospitals and long-term survival after eophagectomy: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2022. http://dx.doi.org/10.37766/inplasy2022.7.0023.

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Review question / Objective: It is still unclear about the association between cutoffs for classifying high- and low-volume hospitals and long-term survival after esophagectomy for patients with esophageal cancer. Condition being studied: It remains controversial whether size of hospital volume influences long-term survival outcomes for patients with esophageal cancer after esophagectomy. In addition, there is still no consensus for defining a reasonable cutoff of esophagectomies per year for classifying high- and low-volume hospitals. Information sources: After the retrieval of the relevant articles, they were screened to remove the duplicates. Search results were screened by two authors (Q.W. and Z.X.W.) independently according to the titles and abstracts. Next, the retained studies were searched for their full text and further were screened according to the following criteria: surgery for esophageal carcinoma as the theme; primary outcomes included hospital volume and long-term OS; comparison of OS between high- and low-volume hospitals; original articles with informative data; articles reporting adjusted hazard ratios (HRs) in multi-variate analysis; and articles in which procedural volume was an exact cutoff. Any disagreements were resolved through consultation with the third author.
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5

Kontou, Eleftheria, Yen-Chu Wu, and Jiewen Luo. Electric Vehicle Infrastructure Plan in Illinois. Illinois Center for Transportation, December 2022. http://dx.doi.org/10.36501/0197-9191/22-023.

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We study the allocation of dynamic electric vehicle charging investments from the policymaker’s perspective, which aims to meet statewide emission-reduction targets for the Illinois passenger vehicle sector. We determine statewide charging deployment trajectories over a 30-year planning horizon and estimate their emission reduction. Electric vehicle demand functions model the electrified vehicle market growth and capture network externalities and spatial heterogeneity. Our analysis indicates that most chargers need to be deployed in the first 10 to 15 years of the transition to allow benefits to accrue for electric vehicle drivers, availability of home charging influences consumers’ choice and drivers’ electrified travel distance, charging stations should be prioritized for frequent long-distance drivers, and spatial effects are crucial in accurately capturing the demand for electric vehicles in Illinois. We also develop a multi-criteria suitability map to site charging stations for electric vehicles based on economic, societal, and environmental justice indicators. We identify census tracts that should be prioritized during Illinois’ statewide deployment of charging infrastructure along with interstates and major highways that traverse them. Major interstates and highways I-90, I-80, I-55, and I-57 are identified as having high siting suitability scores for charging stations. Last, a novel location model was developed for equitable electric vehicle charging infrastructure placement in the Illinois interstate and major highway network. Two objectives were set to reduce detours and improve the ability to complete long-distance trips for low-income electric vehicle travelers and multi-unit dwelling residents. Our analysis indicates that if the system’s efficiency is the only consideration, low-income/multi-unit housing resident travelers are most likely to fail to complete their trips, while an equitable charging siting could mitigate this issue.
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6

Piercy, Candice, Brandon Boyd, Emily Russ, and Kyle Runion. Systematic beneficial use of dredged sediments : matching sediment needs with dredging requirements. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45443.

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This technical note (TN) will outline a framework to identify beneficial and cost-effective coastal beneficial use of dredged sediment (BUDS) projects. Creation of a BUDS framework that can be applied at scale will promote sustainable BUDS practices, facilitating the delivery of flood risk management, social, and environmental benefits while still fulfilling the US Army Corps of Engineers (USACE) navigation mission. This proactive forecasting approach uses multi-criteria decision analysis (MCDA) and optimization tools to balance tradeoffs between navigation dredging and BUDS goals over project-scale timespans. The proposed framework utilizes available tools to quantify ecological system evolution and current and future dredging needs to develop a systems-level approach to BUDS. Required data include current and future information on (1) existing and planned natural and created aquatic ecological systems, which may include natural and nature-based features (NNBFs), (2) dredging requirements and costs, and (3) aquatic system physical and environmental data.
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7

Glass, Samuel V., Samuel L. Zelinka, Charles R. Boardman, and Emil Engelund Thybring. Promoting advances in understanding water vapor sorption in wood: relegating popular models and misconceptions. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541615744.

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Water vapor sorption is a fundamental characteristic of wood as a building material. Apart from empirical prediction, models are often used to interpret the time-dependent process of water vapor uptake (sorption kinetics) and equilibrium states of water in wood (sorption isotherms). This paper summarizes our recent investigations into measurement methods and popular models that are widely used for interpreting these physical phenomena. Commonly used criteria for determining equilibrium moisture content with the dynamic vapor sorption technique yield much larger errors than previously thought. A more rigorous equilibrium criterion and a method to reduce data acquisition time are proposed. Evaluation of the parallel exponential kinetics model with improved data and multi-exponential decay analysis indicates that this model is unable to characterize the full sorption kinetic response following a step change in relative humidity. Fitting of common sorption isotherm models to high-quality equilibrium data for wood gives model predicted physical quantities such as monolayer capacity and enthalpy of sorption that are far from agreement with independently measured data. Thus, these models are not valid for water vapor sorption in wood. New theoretical models are needed that correctly describe the physical phenomena.
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Führ, Martin, Julian Schenten, and Silke Kleihauer. Integrating "Green Chemistry" into the Regulatory Framework of European Chemicals Policy. Sonderforschungsgruppe Institutionenanalyse, July 2019. http://dx.doi.org/10.46850/sofia.9783941627727.

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20 years ago a concept of “Green Chemistry” was formulated by Paul Anastas and John Warner, aiming at an ambitious agenda to “green” chemical products and processes. Today the concept, laid down in a set of 12 principles, has found support in various arenas. This diffusion was supported by enhancements of the legislative framework; not only in the European Union. Nevertheless industry actors – whilst generally supporting the idea – still see “cost and perception remain barriers to green chemistry uptake”. Thus, the questions arise how additional incentives as well as measures to address the barriers and impediments can be provided. An analysis addressing these questions has to take into account the institutional context for the relevant actors involved in the issue. And it has to reflect the problem perception of the different stakeholders. The supply chain into which the chemicals are distributed are of pivotal importance since they create the demand pull for chemicals designed in accordance with the “Green Chemistry Principles”. Consequently, the scope of this study includes all stages in a chemical’s life-cycle, including the process of designing and producing the final products to which chemical substances contribute. For each stage the most relevant legislative acts, together establishing the regulatory framework of the “chemicals policy” in the EU are analysed. In a nutshell the main elements of the study can be summarized as follows: Green Chemistry (GC) is the utilisation of a set of principles that reduces or eliminates the use or generation of hazardous substances in the design, manufacture and application of chemical products. Besides, reaction efficiency, including energy efficiency, and the use of renewable resources are other motives of Green Chemistry. Putting the GC concept in a broader market context, however, it can only prevail if in the perception of the relevant actors it is linked to tangible business cases. Therefore, the study analyses the product context in which chemistry is to be applied, as well as the substance’s entire life-cycle – in other words, the six stages in product innovation processes): 1. Substance design, 2. Production process, 3. Interaction in the supply chain, 4. Product design, 5. Use phase and 6. After use phase of the product (towards a “circular economy”). The report presents an overview to what extent the existing framework, i.e. legislation and the wider institutional context along the six stages, is setting incentives for actors to adequately address problematic substances and their potential impacts, including the learning processes intended to invoke creativity of various actors to solve challenges posed by these substances. In this respect, measured against the GC and Learning Process assessment criteria, the study identified shortcomings (“delta”) at each stage of product innovation. Some criteria are covered by the regulatory framework and to a relevant extent implemented by the actors. With respect to those criteria, there is thus no priority need for further action. Other criteria are only to a certain degree covered by the regulatory framework, due to various and often interlinked reasons. For those criteria, entry points for options to strengthen or further nuance coverage of the respective principle already exist. Most relevant are the deltas with regard to those instruments that influence the design phase; both for the chemical substance as such and for the end-product containing the substance. Due to the multi-tier supply chains, provisions fostering information, communication and cooperation of the various actors are crucial to underpin the learning processes towards the GCP. The policy options aim to tackle these shortcomings in the context of the respective stage in order to support those actors who are willing to change their attitude and their business decisions towards GC. The findings are in general coherence with the strategies to foster GC identified by the Green Chemistry & Commerce Council.
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