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Статті в журналах з теми "Multicriteria Decision Analysi"
Witteman, Holly O., Ruth Ndjaboue, Gratianne Vaisson, Selma Chipenda Dansokho, Bob Arnold, John F. P. Bridges, Sandrine Comeau, et al. "Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis." Medical Decision Making 41, no. 7 (September 25, 2021): 801–20. http://dx.doi.org/10.1177/0272989x211037946.
Повний текст джерелаSchafer, Josephine Gatti, and Caleb T. Gallemore. "Biases in multicriteria decision analysis: The case of environmental planning in Southern Nevada." Environment and Planning C: Government and Policy 34, no. 8 (July 26, 2016): 1652–75. http://dx.doi.org/10.1177/0263774x16629675.
Повний текст джерелаMitkus, Sigitas, and Eva Trinkūnienė. "ANALYSIS OF CRITERIA SYSTEM MODEL FOR CONSTRUCTION CONTRACT EVALUATION." Technological and Economic Development of Economy 13, no. 3 (September 30, 2007): 244–52. http://dx.doi.org/10.3846/13928619.2007.9637806.
Повний текст джерелаDurmus, Hasan, and Mehmet Nuri İnel. "Comparing Aras and Copras Methods to Evaluate Firms By Using Fundamental Analysis." International Journal of Social, Political and Economic Research 7, no. 2 (June 2, 2020): 214–30. http://dx.doi.org/10.46291/ijospervol7iss2pp214-230.
Повний текст джерелаWilliams, Paul, Josephine Mauskopf, Jake Lebiecki, and Anne Kilburg. "Using multicriteria decision analysis during drug development to predict reimbursement decisions." Journal of Market Access & Health Policy 2, no. 1 (January 2014): 25270. http://dx.doi.org/10.3402/jmahp.v2.25270.
Повний текст джерелаLootsma, Freerk A. "Multicriteria decision analysis in a decision tree." European Journal of Operational Research 101, no. 3 (September 1997): 442–51. http://dx.doi.org/10.1016/s0377-2217(96)00208-1.
Повний текст джерелаSimanavičienė, Rūta, and Jovita Cibulskaitė. "Statistical Analysis of the Reliability of a Decision Obtained by the TOPSIS Method." Lietuvos statistikos darbai 54, no. 1 (August 13, 2019): 110–18. http://dx.doi.org/10.15388/ljs.2015.13886.
Повний текст джерелаLeake, C., and J. Malczewski. "GIS and Multicriteria Decision Analysis." Journal of the Operational Research Society 51, no. 2 (February 2000): 247. http://dx.doi.org/10.2307/254268.
Повний текст джерелаAdunlin, Georges, Vakaramoko Diaby, Alberto J. Montero, and Hong Xiao. "Multicriteria decision analysis in oncology." Health Expectations 18, no. 6 (March 17, 2014): 1812–26. http://dx.doi.org/10.1111/hex.12178.
Повний текст джерелаCoburn, Timothy C. "GIS and Multicriteria Decision Analysis." Computers & Geosciences 26, no. 9-10 (November 2000): 1067–68. http://dx.doi.org/10.1016/s0098-3004(00)00050-9.
Повний текст джерелаДисертації з теми "Multicriteria Decision Analysi"
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.
Повний текст джерелаMota, Pedro Jorge Gomes. "Comparative analysis of multicriteria decision making methods." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11263.
Повний текст джерелаThe main objective of this dissertation is to perform a Comparative Analysis of different Multicriteria Decision Making Methods applied to real-world problems, in order to produce relevant information to enable the incorporation of those methods on computational platforms. The current document presents a simple case study concerning a decision support application targeted for a real problem regarding retrofitting alternatives of a building with energy efficiency impact. The application process was started with the selection of two Multicriteria Decision Making Methods guided by a preexisting framework, and resulted in the choice of AHP and PROMETHEE II methodologies. These two methods were then combined with three different decision maker profiles (Conservative, Moderate and Aggressive) created by means of risk assessment profiling techniques for portfolio allocation. Afterwards, the chosen decision criteria were disposed in a Risk Pyramid according to their inherent level of risk regarding project evaluation. A match was then performed between the decision maker profiles and each criterion, so as to define a proper set of weights for the decision criteria and preference functions, with corresponding preference and indifference thresholds. Finally, three different sets of results (one for each decision maker profile) were produced using appropriate software, and a Sensitivity Analysis was performed over the criteria to understand their influence on the solution. The general conclusion of this Comparative Analysis is that the increase in the preference modelling ability of the methods brings up the least expected alternatives as recommendations for the decision maker. Besides, we have concluded that the decision profiles that allocate bigger weights to the riskiest criteria are the ones that produce the more dispersed set of results within each method application and within each decision maker profile.
Doyle, Timothy Patton. "Multicriteria multistakeholder decision analysis : applications to transportation planning." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104116.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 227-231).
Due to their magnitude and longevity, transportation investments can determine the long term success or failure of a transportation system. Thus, it is vital for decision-makers to have deep understanding of the alternatives available before they chose to invest. In this thesis, we examine the current state of the practice for transportation investment decisions. We draw upon the literature and this existing state of the practice to develop a new decision aid which we believe is an improvement over existing aids. We then apply this new decision aid to a transportation investment decision facing the East Japan Railway Company (JR East) and draw conclusions about the usefulness of our new tool. Our decision aid, the CLIOSjre Process, is designed to help decision-makers compare multiple alternatives and make an informed transportation investment decision. The process examines the decision from multiple perspectives where each of these perspectives represents one of the priorities of the decision-maker. By considering each priority separately, the CLIOSjre Process provides a detailed understanding of each alternative. The CLIOSjre Process also combines these individual evaluations into a single overall evaluation of each alternative. This overall evaluation provides the decision-maker with an actionable ranking of the alternatives. In combination, these perspective-specific and overall evaluations of each alternative provide a detailed and holistic understanding of the decision facing the decision-maker. Unlike many other decision aids, the CLIOSjre Process accounts for both the multistakeholder nature of transportation investments and the uncertainty inherent to these decisions. The multifaceted nature of the CLIOSjre Process examines each alternative from multiple perspectives. This approach better facilitates negotiation between stakeholders. In addition, the CLIOSjre Process formally identifies and addresses uncertainty in the analysis - the primary source of risk in transportation investment decisions. Thus, the CLIOSjre Process is a unique multicriteria, multistakeholder decision aid which addresses uncertainty. We hope that this thesis provides the reader with a better understanding of the application, challenges, and opportunities of multicriteria multistakeholder decision aids.
by Timothy Patton Doyle.
S.M. in Transportation
Stephens, Jed. "Understanding and supporting pricing decisions using multicriteria decision analysis: an application to antique silver in South Africa." Master's thesis, Faculty of Science, 2020. http://hdl.handle.net/11427/32999.
Повний текст джерелаSuhendra. "Integrated improvement of distillation unit using multicriteria decision making analysis." [S.l.] : [s.n.], 2007. http://se6.kobv.de:8000/btu/volltexte/2007/170.
Повний текст джерелаKropp, Walter W. "A Spatial Multicriteria Decision Analysis Approach for Evaluating Sustainable Development." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1274974289.
Повний текст джерелаPaes, Lucas Correia Gonçalves. "Proposta de método ágil de análise multicriterial aplicado em processos operacionais dinâmicos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/97242.
Повний текст джерелаMulticriteria analysis methodologies have been used for decades to analyze substantial capital investment alternatives, and continue to be a reference tool for capital budgeting decision making in organizations. Small investments are also influenced by several variables that need to be taken into account in assertive decision making. Minor impacts decisions are taken without using a method of multicriteria analysis and when all this decisions are combined, they influence the overall result of the company. The objective of this research is to develop a multi-criteria analysis method agile that can be easily adapted and applied to different operation dynamic process, usual in large businesses routine, helping decision making at lower levels of the organization. The proposed method was applied in two different processes of a multinational company in the mining sector. In the first case the process of prioritization projects method was studied, where ideas of employees were transformed into smaller projects that generate profit for the company. In the second case, maintenance scheduling, the method helped to prioritize the execution of maintenance services when there are resource limitation. The proposed method combines tools of renowned methods with creative solutions to help a decision making in dynamics processes.
Yusoff, Binyamin. "Decision Analysis, Uncertainty Theories and Aggregation Operators in Financial Selection Problems." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/403402.
Повний текст джерелаLa tesis, a través del análisis y desarrollo del Análisis de decisiones, Teorías de incertidumbre y Operadores de agregación, busca contribuir al estado del arte y nuevas propuesta de las necesidades y demandas que los decisores, responsables o e inversores financieros se encuentran por la creciente complejidad de sus análisis y estrategias, sobre todo en los procesos de selección o en los problemas de decisión. Así, el objetivo principal de esta tesis es el estudio de los problemas de selección financiera desde la perspectiva del análisis de decisiones, las teorías de la incertidumbre y los operadores de agregación. En concreto, se estudian los problemas de decisión en virtud de un conjunto finito de alternativas (caso discreto) y de factores multidimensionales. En el trabajo se desarrolla una extensión de los modelos de análisis de decisiones multicriterio y multiexperto que se utilizan en la resolución de los problemas de selección financiera (como ámbito específico), pero también en los problemas de selección generales, con la inclusión del carácter actitudinal, el concepto de mayoría y la teoría de los conjuntos borrosos. En particular, el énfasis se sitúa en los modelos de toma de decisiones en grupo y en la estructura de creencias Dempster-Shafer (D-S), el proceso analítico jerárquico (AHP) i la técnica de orden de preferencia por similitud con la solución ideal (TOPSIS). Además, se aplican las teorías de incertidumbre basadas en conjuntos borrosos y de probabilidades imprecisas juntamente con la fusión de la información basada en operadores OWA. También se destaca las preferencias cuantitativas y cualitativas, las estrategias de decisión basadas en el carácter actitudinal de los decisores, y el concepto de mayoría en el consenso grupal, de forma que se propone el desarrollo de operadores OWA, la generalización de los modelos AHP y TOPSIS, juntamente con el modelo de toma de decisiones grupal y la estructura de creencias Dempster-Shafer, con el fin de superar las deficiencias de los modelos existentes en relación con el análisis de decisiones financieras. En particular, la investigación realizada se puede sintetizar en siete aportaciones específicas al state-of-the-art del Análisis de decisiones y los operadores de agregación, con aplicaciones en diferentes problemas de decisión financiera: 1. Operadores de agregación basados en los OWA en los modelos de decisión Multiexpertos y Multicriterio. 2. Operadores ponderados SAM-OWA y su aplicación en modelos GDM con operadores lingüísticos. 3. Modelos GDM con operadores lingüísticos adaptados a la teoría de Dempster-Shafer con la aplicación de operadores de agregación inducidos lingüísticos. 4. Generalización del modelo AHP para decisiones grupales usando operadores OWA inducidos. 5. Introducción de operadores OWA geométricos y pesados en los modelos GDM y AHP. 6. Ampliación de los modelos TOPSIS con operadores de agregación basados en los OWA. 7. Desarrollo y aplicación del Conflicting bifuzzy a modelos de decisión MAGDM En la tesis se demuestra la aplicabilidad y la robustez de los modelos desarrollados, tanto con un esquema de agregación de expertos clásicos como con un esquema alternativo que separa por criterios de decisión. Las principales ventajas de los modelos propuestos son que se tratan modelos más generales y flexibles para un análisis más amplio de los problemas de decisión, en particular de los de selección financiera, que incorporen diversos criterios, expertos y componentes de incertidumbre y lingüísticos.
Bouchet, Philippe. "Approche axiomatique en décision multicritère : cas des variables mixtes." Université Joseph Fourier (Grenoble ; 1971-2015), 1994. http://www.theses.fr/1994GRE10105.
Повний текст джерелаEkroth, Natalie, and Josefin Lennartsson. "Web-based Multicriteria Decision Analysis and Visualization for Reinvestments in Power Networks." Thesis, KTH, Geoinformatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210696.
Повний текст джерелаКниги з теми "Multicriteria Decision Analysi"
International Conference on MCDM (11th 1994 Coimbra, Portugal). Multicriteria analysis. New York: Springer-Verlag, 1997.
Знайти повний текст джерелаMalczewski, Jacek. GIS and multicriteria decision analysis. New York: J. Wiley & Sons, 1999.
Знайти повний текст джерела1954-, Pardalos P. M., Siskos Yannis, and Zopounidis Constantin, eds. Advances in multicriteria analysis. Dordrecht: Kluwer Academic Publishers, 1995.
Знайти повний текст джерелаPardalos, P. M. (Panos M.), 1954- and SpringerLink (Online service), eds. Handbook of Multicriteria Analysis. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.
Знайти повний текст джерелаMalczewski, Jacek, and Claus Rinner. Multicriteria Decision Analysis in Geographic Information Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-74757-4.
Повний текст джерелаEuro, Beinat, and Nijkamp Peter, eds. Multicriteria analysis for land-use management. Dordrecht: Kluwer Academic Publishers, 1998.
Знайти повний текст джерелаMunier, Nolberto. A Strategy for Using Multicriteria Analysis in Decision-Making. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1512-7.
Повний текст джерелаde Almeida, Adiel Teixeira, Love Ekenberg, Philip Scarf, Enrico Zio, and Ming J. Zuo, eds. Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89647-8.
Повний текст джерелаde Almeida, Adiel Teixeira, Cristiano Alexandre Virgínio Cavalcante, Marcelo Hazin Alencar, Rodrigo José Pires Ferreira, Adiel Teixeira de Almeida-Filho, and Thalles Vitelli Garcez. Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17969-8.
Повний текст джерелаSergio, Barba-Romero, ed. Multicriterion decision in management: Principles and practice. Boston: Kluwer Academic, 2000.
Знайти повний текст джерелаЧастини книг з теми "Multicriteria Decision Analysi"
Matos, Manual A., and Pedro Borges. "A Flexible Interface for Decision-Aid in Multicriteria Decision Problems." In Multicriteria Analysis, 390–400. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_37.
Повний текст джерелаZarghami, Mahdi, and Ferenc Szidarovszky. "Introduction to Multicriteria Decision Analysis." In Multicriteria Analysis, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17937-2_1.
Повний текст джерелаCarlsson, Christer, and Robert Fuller. "Interdependence In Multiple Criteria Decision Making." In Multicriteria Analysis, 25–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_4.
Повний текст джерелаStewart, Theodor J. "Scenario Analysis and Multicriteria Decision Making." In Multicriteria Analysis, 519–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_49.
Повний текст джерелаTsoukiàs, Alexis, and Philippe Vincke. "Extended Preference Structures in MultiCriteria Decision Aid." In Multicriteria Analysis, 37–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_5.
Повний текст джерелаStewart, Theodor J. "Multicriteria Decision Analysis." In International Encyclopedia of Statistical Science, 872–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_384.
Повний текст джерелаDaellenbach, Hans G. "Multiple Criteria Decision Making Within Checkland’s Soft Systems Methodology." In Multicriteria Analysis, 51–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_6.
Повний текст джерелаOstanello, Anna. "Complexity Issues and New Trends in Multiple Criteria Decision Aid." In Multicriteria Analysis, 8–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_2.
Повний текст джерелаKersten, Gregory E. "Support for Group Decisions and Negotiations An Overview *." In Multicriteria Analysis, 332–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_32.
Повний текст джерелаHurson, Ch, and C. Zopounidis. "On The Use Of Multicriteria Decision Aid Methods To Portfolio Selection." In Multicriteria Analysis, 496–507. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60667-0_47.
Повний текст джерелаТези доповідей конференцій з теми "Multicriteria Decision Analysi"
Krishnan, Viswanathan, Steven D. Eppinger, and Daniel E. Whitney. "Towards a Cooperative Design Methodology: Analysis of Sequential Decision Strategies." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0044.
Повний текст джерелаGenova, Krasimira, Vassil Vassilev, Filip Andonov, Mariyana Vassileva, and Silvia Konstantinova. "A multicriteria analysis decision support system." In the 5th international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1050330.1050372.
Повний текст джерелаWani, M. F. "Tribomaterial Evaluation and Ranking Using Fuzzy Multicriteria Decision Making." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95732.
Повний текст джерелаRokou, Elena, and Konstantinos Kirytopoulos. "Multicriteria Decision Making for Project Scheduling under Resource Constraints." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2013. http://dx.doi.org/10.13033/isahp.y2013.056.
Повний текст джерела"Integration of GIS and methods of multicriteria decision analysis." In AGRICULTURAL INFORMATION TECHNOLOGY AND ENGINEERING AGROINFO-2021. SFSCA RAS, 2021. http://dx.doi.org/10.26898/agroinfo-2021-48-51.
Повний текст джерелаLLINCA, A. "Aircraft model for multicriterial analysis in decision making." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-4192.
Повний текст джерелаFun-sang, Maricruz A., and Jean-David Caprace. "Improving Ship Fleet Performance Using a Non-Parametric Model." In SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-182.
Повний текст джерелаDel 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.
Повний текст джерелаLibrais, Valter, Sergio Ricardo Lourenço, and Claudemir Duca Vasconcelos. "AHP Method: Application in Pipeline Projects in Brazil." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90547.
Повний текст джерелаVirine, L., and D. Murphy. "Analysis of Multicriteria Decision-Making Methodologies for the Petroleum Industry." In IPTC 2007: International Petroleum Technology Conference. European Association of Geoscientists & Engineers, 2007. http://dx.doi.org/10.3997/2214-4609-pdb.147.iptc11765.
Повний текст джерела