Relevant bibliographies by topics / Multi-criteria analysi

Academic literature on the topic 'Multi-criteria analysi'

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Published: 14 March 2023

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Journal articles on the topic "Multi-criteria analysi"

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Śladowski, Grzegorz. "Selected cases of modeling and structural analysis of decision problems in the construction sector." Przegląd Budowlany 94, no. 1-2 (February 26, 2023): 98–102. http://dx.doi.org/10.5604/01.3001.0016.2710.

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This paper notes the important aspect of the modelingand structural analysi of problems in decision making. Againstclassical multi-criteria decision-making support methods,the presented approach considers different co-dependent externaland internal relations between criteria and decision alternatives,which is significant from the standpoint of the reality we aimto model. Essential structural modeling and analysis methodswere presented, and the entire discussion was backed by samplesof decision problems from the construction sector
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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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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.  
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Chybowski, Leszek, Michał Twardochleb, and Bogusz Wiśnicki. "Odlučivanje na temelju multikriterijske analize značajnosti komponenti u kompleksnom pomorskom sustavu." Naše more 63, no. 4 (November 2016): 264–70. http://dx.doi.org/10.17818/nm/2016/4.3.

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Majumdar, Sudipa, Rashita Puthiya, and Nandan Bendarkar. "Application of multi-criteria decision analysis for investment strategies in the Indian equity market." Investment Management and Financial Innovations 18, no. 3 (August 4, 2021): 40–51. http://dx.doi.org/10.21511/imfi.18(3).2021.04.

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In the Indian equity market, the Systematic Investment Plan (SIP) is the most popular strategy due to its convenience for disciplined investing regardless of market conditions. This study analyzes the excess returns of an extensive dataset of listed Indian companies from 2010 to 2019, along with a value-based version of the Multi-Criteria Decision Analysis (MCDA), to identify top performing stocks, based on their sectors and market capitalization. The findings of the study provide empirical evidence of Value Averaging (VA) as a viable alternative strategy over SIP (also known as Dollar Cost Averaging or Rupee Cost Averaging) as 352 out of 359 companies yielded higher returns under VA. The superiority of the VA strategy over the SIP was particularly marked in the consumer goods, financial services and industrial manufacturing sectors, with a clear dominance of small cap companies. The results also show that risk factors for VA strategy play an important role and should be taken into account, rather than base investment decisions on excess returns alone. The efficiency scores of individual stocks provide important insights for mutual funds, financial brokers and individual investors in India.
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Kritikos, Theodosios R. H., and Timohty R. H. Davies. "GIS-based Multi-Criteria Decision Analysis for landslide susceptibility mapping at northern Evia, Greece." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 162, no. 4 (December 1, 2011): 421–34. http://dx.doi.org/10.1127/1860-1804/2011/0162-0421.

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Massinai, Muhammad Altin. "Mapping Groundwater Potential based on Geospatial Analysis and Multi-criteria Decision Analysis in Gowa Regency, South Sulawesi, Indonesia." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (May 30, 2020): 550–61. http://dx.doi.org/10.5373/jardcs/v12i5/20201974.

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Meidiana, C., S. D. K. Uma, and W. P. Wijayanti. "Management of Rural Biogas from Manure Waste using Multi-Criteria Analysis and Geographical Information System (GIS) Approach." Journal of Clean Energy Technologies 6, no. 4 (July 2018): 303–8. http://dx.doi.org/10.18178/jocet.2018.6.4.479.

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Jung. "A Study on Priority Evaluation of the Rope-type Platform Safety Door(RPSD) Installation by Multi-criteria Decision Analysis." Journal of the Korean Society of Civil Engineers 35, no. 3 (2015): 639. http://dx.doi.org/10.12652/ksce.2015.35.3.0639.

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Dissertations / Theses on the topic "Multi-criteria analysi"

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TECCHIO, PAOLO. "Streamlining Life Cycle Assessment to support Ecodesign through multi-criteria materials selection." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2590356.

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This thesis aims to demonstrate how these issues can be solved using specific case studies as examples. The first chapter is dedicated to an introduction to the LCA methodology, in which it is also possible to find a literature review focused on the strengths and weaknesses that may characterize LCA. The second part of the chapter details the methods utilized to analyze uncertainty in LCA results, the state of the art for streamlined and predictive approaches and, finally, an overview of a multi-criteria analysis method useful for materials selection. In particular, the uncertainty analysis associated with LCA results may represent the starting point for the development of streamlined LCA approaches and possible methods of forecasting the environmental results of novel technologies. On the other hand, the multi-criteria analysis grounded in the uncertainty analysis presents a robust method of materials selection in support of Ecodesign. In the second chapter, the uncertainty analysis is used to develop a streamlined LCA method founded on the probabilistic underspecification approach, proposed to support the building design process. The case studies analyzed in this section represent a series of residential building assemblies (exterior walls, interior walls, foundations, roofs, floors, windows, doors, exterior finishes) that were used to test the streamlined method and obtain distributions of results using a cradle-to-gate approach along five phases of the building design process. The bill of materials (BOM) of a building assembly can be specified using different levels of information, which can be really generic during the concept design and fully detailed during the executive project. The low-fidelity characterization of a BOM and the uncertainty associated with these low levels of fidelity are systematically quantified through probabilistic underspecification using a hierarchical classification of materials. Quantitative environmental results, processed with uncertainty analysis, were obtained using low-fidelity categories for materials and building assemblies, demonstrating that LCA can be applied not only when a complete and detailed BOM is available but also when fewer details are known. Finally, decision-making at different stages of the design process is sustained by this approach and is based on the use of a comparison indicator. The third chapter advances the research aimed at streamlining the LCA of buildings with probabilistic underspecification and uncertainty analysis. In particular, it investigates whether LCA can be robustly streamlined through an effective and efficient triage of data collection and the consequent selected use of specific and resource-intensive information. In this context, tests were conducted with a series of building typologies (single-family detached houses and multi-family residential buildings), again analyzed with a cradle-to-gate approach. The probabilistic triage approach was tested to clarify how to use probabilistic underspecification and reduce the effort involved in specification by identifying the activities that require careful characterization. With this approach, by specifying only one part of the bill of materials to the highest level of specificity, the results proved to be both reasonably accurate and obtainable with less effort. Impacts such as global warming, acidification, eutrophication, and smog creation were assessed, and the results indicated that just 40-46% of the BOM components represent 75% of the total impacts of both single-family houses and multi-family buildings. Where the second and third chapters were devoted to the streamlined analysis of conventional products, the fourth chapter addresses the use of uncertainty analysis to forecast the environmental burden of an innovative material. Here, a scale-up protocol for an environmental impact assessment is proposed as a means to develop a streamlined ex-ante LCA approach. The novel element of this chapter consists of the adopted scale-up protocol. It does not rely on primary data collected by monitoring real industrial systems, as these data do not yet exist for the product of interest; instead, data measured in a plant at the pilot scale are used alongside data simulated from thermo-chemical considerations based on the stoichiometry of the considered reaction. The scale-up protocol is described and then applied to the case of polybutylene succinate (PBS), a biopolymer that is gaining attention (particularly as a replacement for polyolefins) and is obtained from bio-based succinic acid. Monte Carlo simulation was used to process the uncertainty data for all of the assessments, and a sensitivity analysis was performed to evaluate and compare the different renewable sources and chemical routes available for the production of bio-based succinic acid. The case study of PBS highlights how innovative products can be analyzed without the use of primary data, providing a way to forecast environmental impacts for novel technologies. The advantages of the adopted scale-up methodology consist of the ease of implementation and the possibility of strengthening the Ecodesign approach. In the fifth chapter, a multi-criteria analysis was used to complete the ex-ante LCA results for PBS. The purpose of this analysis was to compare PBS to alternative materials on the basis of more than one property and for use in a specific function. This approach led to the definition of a new concept of the system boundary of the assessment: from cradle to function. The motivation for this alternative strategy stems from the application of the LCA framework to a material to obtain an ecoprofile: the scope of the analysis is generally from cradle to the factory gate, while the unit of mass (or volume) of the material is usually taken as the functional unit for the analysis. However, these methodological choices place relevant limitations on the effectiveness of the assessment. In this chapter, a multi-criteria materials approach was tested using the PBS results to verify and validate the environmental viability of this material’s usage in packaging films. The most novel element of this research is the use of the customized ex-ante LCA and the uncertainty analysis, the latter of which is used to determine the uncertainty in material indices. The results were graphically represented with Ashby plots. When elongation at break and environmental performance were considered, PBS displayed a performance that was better than other traditional polyesters and comparable to the polyolefins considered; performance in terms of this set of properties is particularly beneficial in the case of secondary packaging. In the case of primary packaging, barrier properties acquire major relevance; in this regard, PBS presented among the best trade-offs for the simultaneous optimization of oxygen permeability, elongation at break and environmental impact. Finally, the sixth chapter is devoted to the review of the approaches that were implemented and tested to streamline LCA, highlighting the strengths and weaknesses for each analyzed system and discussing future methodological developments. In particular, the uncertainty analysis based on the Monte Carlo method was used not just to characterize the quality of results but also to develop and implement streamlined approaches. Moreover, the uncertainty analysis proved to be useful for forecasting environmental results for early-stage systems and innovative materials.
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VASSONEY, ERICA. "Multi-criteria decision-making (MCDM) for the sustainable management of water withdrawals in Alpine watercourses." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973093.

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VERGERIO, GIULIA. "Data-driven building performance evaluation at different scales. Innovative metrics and methodological insights." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973092.

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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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Approved for public release, distribution is unlimited
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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Books on the topic "Multi-criteria analysi"

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Zimmermann, Hans-Jürgen, and Lothar Gutsche. Multi-Criteria Analyse. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58198-4.

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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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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 analysi"

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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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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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Pekel, Engin. "Routing of Vehicles to Disaster Relief Tents." In Multi-Criteria Decision Analysis, 303–11. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-20.

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Ilbahar, Esra. "Drought Vulnerability Assessment Based on IVIF AHP and IVIF WASPAS." In Multi-Criteria Decision Analysis, 107–21. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-8.

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Toktaş, Pelin. "Ranking of Districts of Istanbul According to Earthquake Loss Estimates with Entropy and CoCoSo Integration." In Multi-Criteria Decision Analysis, 191–209. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003212904-13.

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Conference papers on the topic "Multi-criteria analysi"

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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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Statnikov, Roman, Kivanc Ali Anil, Alex Bordetsky, and Alexander Statnikov. "Visualization Tools for Multicriteria Analysis of the Prototype Improvement Problem." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369111.

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Zarghaami, Mahdi, Reza Ardakanian, and Ferenc Szidarovszky. "Obtaining robust decisions under uncertainty by sensitivity analysis on OWA operator." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369102.

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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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Kriguer, Henrique, and Valerio Salomon. "MULTI-CRITERIA CLASSIFICATION OF SPARE PARTS." In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2016. http://dx.doi.org/10.13033/isahp.y2016.089.

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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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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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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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Reports on the topic "Multi-criteria analysi"

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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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2

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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3

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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4

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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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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6

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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7

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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