Relevant bibliographies by topics / Decision-making methods

Academic literature on the topic 'Decision-making methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 May 2022

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Journal articles on the topic "Decision-making methods"

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Kostenko, Elena, Volodymyr Kuznichenko, and Volodymyr Lapshyn. "Comparison of Decision-Making Methods Comparison of Decision-Making Methods." Research in Applied Economics 6, no. 3 (August 26, 2014): 17. http://dx.doi.org/10.5296/rae.v6i3.5704.

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Schmitt, Richard. "Methods of Democratic Decision-Making." Radical Philosophy Review 21, no. 1 (2018): 129–51. http://dx.doi.org/10.5840/radphilrev20184385.

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The paper reflects on the methods democratic systems use for arriving at decisions. The most popular ones are elections where the majority rules and deliberative democracy. I argue that both of these do not measure up to the demands of democracy. Whether we use voting with majority rule or deliberative methods, only a portion of the citizenry is allowed to rule itself; minorities are always excluded. Instead of voting with majority ruler or deliberative methods, I suggest that we employ mediation (ADR) to reach agreement in democratic publics.
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Holmes-Rovner, Margaret. "Methods for Medical Decision Making." Medical Decision Making 12, no. 3 (August 1992): 159–62. http://dx.doi.org/10.1177/0272989x9201200301.

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Lahtinen, Tuomas J., Raimo P. Hämäläinen, and Juuso Liesiö. "Portfolio decision analysis methods in environmental decision making." Environmental Modelling & Software 94 (August 2017): 73–86. http://dx.doi.org/10.1016/j.envsoft.2017.04.001.

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N, Harikannan. "Decision Making Model for Supplier Evaluation and Selection Using MCDM Methods." Bonfring International Journal of Industrial Engineering and Management Science 4, no. 2 (May 9, 2014): 76–82. http://dx.doi.org/10.9756/bijiems.10303.

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Sokurenko, Ihor. "Classification of management decision making methods." Scientific Bulletin of the Odessa National Economic University 6, no. 269 (2019): 161–77. http://dx.doi.org/10.32680/2409-9260-2019-6-269-161-177.

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Carter, Kimbroe J., Nathan P. Ritchey, Frank Castro, Leonard P. Caccamo, Edward Kessler, and Barbara A. Erickson. "Analysis of Three Decision-making Methods." Medical Decision Making 19, no. 1 (January 1999): 49–57. http://dx.doi.org/10.1177/0272989x9901900107.

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Gvinepadze, Gela, and Tornike Shavishvili. "Methods for improving decision-making efficiency." Works of Georgian Technical University, no. 1(515) (March 26, 2020): 80–93. http://dx.doi.org/10.36073/1512-0996-2020-1-80-93.

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Renn, Ortwin, Birgit Blättel-Mink, and Hans Kastenholz. "Discursive methods in environmental decision making." Business Strategy and the Environment 6, no. 4 (September 1997): 218–31. http://dx.doi.org/10.1002/(sici)1099-0836(199709)6:4<218::aid-bse117>3.0.co;2-g.

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Zeng, Shouzhen. "Uncertain Intelligent Computational Decision-Making Methods." Recent Advances in Computer Science and Communications 14, no. 8 (February 19, 2021): 2465–66. http://dx.doi.org/10.2174/266625581408210219152347.

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Dissertations / Theses on the topic "Decision-making methods"

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Wong, Sandra Sze Man. "Decision making and abortion methods." Thesis, University of Leeds, 2006. http://etheses.whiterose.ac.uk/423/.

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Introduction: This thesis investigates abortion service providers' adequacy to facilitate women's choices to have either a medical or surgical abortion. Both the medical and surgical methods of abortion are effective procedures to terminate unwanted pregnancies in early gestation. Provided there is no medical contraindication, women can make the choice about which method of abortion to have. The role of health professionals is to provide complete and accurate information that encourages women to make informed choices between treatment options. This thesis describes three studies which a) assess the adequacy of written information to support choices about abortion methods across service providers in England and Wales, b) describe the quality of verbal information provided by health professionals to women choosing to have an abortion type in routine consultations, and c) evaluate a leaflet designed to facilitate women's choices to have either a medical or surgical abortion. Methods: Two studies employ a cross-sectional survey design with qualitative and quantitative methods, the third a randomised controlled trial. The samples include: service provider's leaflets from across England and Wales (n=44); the content of doctors' consultations in a regional abortion service in Leeds (n=23); women undertaking abortions for unwanted pregnancies in a regional abortion service in Leeds (n=313). Measures assess the accuracy and quality of information provided, and the degree to which the leaflet facilitated women's decisions about abortion method. Results: The analysis of written and verbal information routinely provided by abortion service providers found that the procedures on having the abortion types were adequately described. However,information about the risks and benefits of each method were described less accurately and/or consistently. The findings from the trial indicate that a leaflet can enable women to make more informed decisions without increasing anxiety but does not impact on the type of abortion method chosen. Conclusions: Most information about types of abortion method routinely provided by abortion service providers is not sufficient to enable women to make informed choices. However, services can meet policy objectives on informed patient decision making with minimal resource implications as the decision aid leaflet enabled women to evaluate more information about the risks and benefits of the abortion methods in accord with their own beliefs.
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Заговора, Ольга Володимирівна, Ольга Владимировна Заговора, and Olha Volodymyrivna Zahovora. "Decision making methods in project management." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33556.

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The aim of the article is to demonstrate the importance of the production efficiency increase, and as a result, improvement of product quality. Such efficiency will be provided by implementation of project management methodology. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33556
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Gladka, O. M. "Methods of decision-making in projects." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47014.

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The course "Methods of decision-making in projects " reveals the essence of project management through the mechanism of making design decisions. To make design decisions using different approaches: expert techniques Multicriteria methods, methods of group decision-making design decisions under uncertainty, decision making under the project risk.
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Hoffman, Matthew William. "Decision making with inference and learning methods." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44083.

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In this work we consider probabilistic approaches to sequential decision making. The ultimate goal is to provide methods by which decision making problems can be attacked by approaches and algorithms originally built for probabilistic inference. This allows us to directly apply a wide variety of popular, practical algorithms to these tasks. In Chapter 1 we provide an overview of the general problem of sequential decision making and a broad description of various solution methods. Much of the remaining work of this thesis then proceeds by relying upon probabilistic reinterpretations of the decision making process. This strategy of reducing learning problems to simpler inference tasks has been shown to be very fruitful in much of machine learning, and we expect similar improvements to arise in the control and reinforcement learning fields. The approaches of Chapters 2–3 build upon the framework of [Toussaint and Storkey, 2006] in reformulating the solution of Markov decision processes instead as maximum-likelihood estimation in an equivalent probabilistic model. In Chapter 2 we utilize this framework to construct an Expectation Maximization algorithm for continuous, linear-Gaussian models with mixture-of-Gaussian rewards. This approach extends popular linear-quadratic reward models to a much more general setting. We also show how to extend this probabilistic framework to continuous time processes. Chapter 3 further builds upon these methods to introduce a Bayesian approach to policy search using Markov chain Monte Carlo. In Chapter 4 we depart from the setting of direct policy search and instead consider value function estimation. In particular we utilize least-squares temporal difference learning to reduce the problem of value function estimation to a more standard regression problem. In this chapter we specifically tackle the use of regularization methods in order to encourage sparse solutions. In Chapters 5–6 we consider the task of optimization as a sequential decision problem. In the first of these chapters we introduce the bandit framework and discuss a number of variations. Then in Chapter 6 we discuss a related approach to optimization utilizing Bayesian estimates of the underlying, unknown function. We finally introduce a novel approach to choose between different underlying point selection heuristics.
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Fitzpatrick, Charles Neil Ayvaz Ümit. "Training methods and tactical decision-making simulations." Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Sep%5FFitzpatrick.pdf.

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Thesis (M.S. in Modeling Virtual Environments and Simulation (MOVES))--Naval Postgraduate School, September 2007.
Thesis Advisor(s): Sadagic, Amela ; Ciavarelli, Anthony. "September 2007." Description based on title screen as viewed on October 22, 2007. Includes bibliographical references (p. 169-172). Also available in print.
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Ayvaz, Ümit, and C. Neil III Fitzpatrick. "Training methods and tactical decision-making simulations." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/3348.

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Introducing simulation training to ground officers for the first time, within an existing proven curriculum, presents a number of challenges and questions. The proper amount of simulation time to evaluate and train skill sets and how to introduce simulation into an existing curriculum are mostly unknown. We have completed two studies at the Naval PostGraduate School (NPS). The first study examined the length of time and the most appropriate method for introducing simulation training to a user. The second study compared the use of the Close Combat Marines (CCM) Tactical Decision-Making Simulation (TDS) with the traditional method of training decision-making called the Tactical Decision-Making Game (TDG). The TDS and TDG were used in a between-subjects experimental design to examine the viability of each with regard to their ability to evaluate several important military traits. We found that both the TDG and the TDS methods were useful in evaluating a participant's leadership characteristics and decision-making ability. However, only the TDS was capable of evaluating situational-awareness. Our results also address a novel way in which these two approaches could be combined to amplify each other's potential in training of ground officers and military personnel in general.
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Smith, Stephanie Marie. "Understanding decision making with process-tracing methods." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1562877539274665.

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Mota, 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.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores
The 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.
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Moulton, Bruce David Computer Science &amp Engineering Faculty of Engineering UNSW. "Methods for training people's decision-making judgment: a review." Awarded By:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41431.

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The subject of enquiry is the variation seen in the results of a specific set of studies about methods for training people’s judgment. This review attempts to synthesise the studies’ findings, and tests hypotheses about the causes of the variation. Research questions ask if variation is attributable to differences in participant characteristics, different aspects of judgment having been targeted, different tasks having been performed or different training strategies having been used. Relevant literature was reviewed, and studies that reported a method for training an aspect of judgment were selected for further quantitative analysis if at least two groups had been randomly selected from a larger set of human adults, one of which received training that another did not, and where, during the test phase, members of no group had access to tools or resources, performed tasks, or received feedback which members of another group did not. A meta-analysis of statistical data from 39 published studies was conducted. The findings are interpreted as indicating variation in the effect of training is attributable to differences in task type and differences in training strategy. The effect of training is greatest in the studies that have diagnostic tasks (p<0.05). The studies that trained participants with examples have, on average, greater effect sizes than studies that did not (p<0.05). Implications, limitations, and avenues for further research are discussed. It is concluded that the findings indicate that different tasks and different training strategies account for a significant proportion of the variation in training effect seen between the selected studies.
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Poojari, C. A. "Stochastic programming : models, solution methods and applications." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247549.

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Books on the topic "Decision-making methods"

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Xu, Zeshui. Linguistic Decision Making: Theory and Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Dombal, F. T. De. Surgical decision making. Oxford: Butterworth-Heinemann, 1993.

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Dombal, F. T. De. Surgical decision making. Oxford: Butterworth-Heinemann, 1993.

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Quantitative methods for decision makers. 5th ed. New York: Prentice Hall, 2009.

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Quantitative methods for decision makers. 4th ed. Upper Saddle River, NJ: Financial Times/Prentice Hall, 2005.

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Jih-Jeng, Huang, ed. Multiple attribute decision making: Methods and appliations. Boca Raton, FL: CRC Press, 2011.

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Markland, Robert E. Quantitative methods: Applications to managerial decision making. Chichester: Wiley, 1987.

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R, Sweigart James, ed. Quantitative methods: Applications to managerial decision making. New York: Wiley, 1987.

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Hamburg, Morris. Statistical analysis for decision making. 4th ed. San Diego: Harcourt Brace Jovanovich, 1987.

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Statistical analysis for decision making. 5th ed. London: Harcourt Brace, 1991.

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Book chapters on the topic "Decision-making methods"

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Swift, Louise, and Sally Piff. "Decision Making." In Quantitative Methods, 623–47. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-33794-8_26.

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Swift, Louise, and Sally Piff. "Decision making." In Quantitative Methods, 740–69. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-0-230-36582-7_26.

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Ridderikhoff, J. "Clinical decision-making." In Methods in Medicine, 83–117. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1097-3_4.

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Teodorović, Dušan, and Miloš Nikolić. "Multi-attribute decision-making." In Quantitative Methods in Transportation, 101–50. First edition. | Boca Raton, FL : CRC Press, 2021.: CRC Press, 2020. http://dx.doi.org/10.1201/9780429286919-3.

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Bhise, Vivek D. "Risk Assessment Methods." In Decision-Making in Energy Systems, 49–71. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003107514-4.

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Triantaphyllou, Evangelos. "Multi-Criteria Decision Making Methods." In Applied Optimization, 5–21. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3157-6_2.

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Chen, Tin-Chih Toly. "Fuzzy Group Decision-Making Methods." In Advances in Fuzzy Group Decision Making, 11–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86208-4_2.

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Yu, Po-Lung. "Linear Cases, MC- and MC2-Simplex Methods." In Multiple-Criteria Decision Making, 215–70. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8395-6_8.

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Belton, Valerie, and Mark D. Elder. "Can Multiple Criteria Methods Help Production Scheduling?" In Multiple Criteria Decision Making, 341–49. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_35.

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Munier, Nolberto. "MCDM Methods: Modelling, Feasibility, and Sensitivity Analysis." In Multiple Criteria Decision Making, 1–6. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82347-4_1.

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Conference papers on the topic "Decision-making methods"

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Andreeva, Galina, and Anna Matuszyk. "Gender discrimination in algorithmic decision-making." In CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8312.

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Pishdad-Bozorgi, Pardis, and John Haymaker. "Effect of Decision-making Methods on Trust." In Construction Research Congress 2014. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413517.088.

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Yaohui Zhang, Xiaohai Han, Shixin Zhang, and Shaohua Wang. "Decision-making methods of condition-based maintenance." In 2015 Prognostics and System Health Management Conference (PHM). IEEE, 2015. http://dx.doi.org/10.1109/phm.2015.7380098.

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Wojciechowska, K. A. "Decision-making methods for operational flood management." In FRIAR 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/friar100201.

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Mezhuyev, Vitaliy, Oleg M. Lytvyn, Iuliia Pershyna, Olesia Nechuiviter, Oleg O. Lytvyn, Vladimir Lavrik, Oksana Kovalska, and Yurii Gunchenko. "Acceptance of the Methods of Decision-making." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3316615.3316677.

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Shatnawi, Malak, Laszlo Pokoradi, and Rajnai Zoltan. "Fuzzy Decision-Making Methods in Transport Engineering." In 2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES). IEEE, 2021. http://dx.doi.org/10.1109/ines52918.2021.9512915.

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Rogova, G., M. Hadzagic, M. St-Hilaire, M. C. Florea, and P. Valin. "Context-based information quality for sequential decision making." In 2013 IEEE International Multi-Cognitive Methods in SituationDisciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/cogsima.2013.6523818.

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Kinjo, Ichiko, and Hayao Miyagi. "Feedback-structured decision-making using Bayesian approach." In INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4897838.

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Nakanishi, Masatake, and Eizo Kinoshita. "Inter-Viewpoint Stress Methods and Group Decision Making Stress Method." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1999. http://dx.doi.org/10.13033/isahp.y1999.046.

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Ghoneim, Amr S., Daryl L. Essam, and Hussein A. Abbass. "Competency awareness in strategic decision making." In 2011 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2011). IEEE, 2011. http://dx.doi.org/10.1109/cogsima.2011.5753426.

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Reports on the topic "Decision-making methods"

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Fischer, Ute M. Methods for Analyzing Group Problem Solving Decision Making. Fort Belvoir, VA: Defense Technical Information Center, May 1996. http://dx.doi.org/10.21236/ada312002.

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Bohn, M. P. Decision making under uncertainty: An investigation into the application of formal decision-making methods to safety issue decisions. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/6771818.

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Randel, Josephine M., H. L. Pugh, and Barbara G. Wyman. Methods for Conducting Cognitive Task Analysis for a Decision Making Task. Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada304110.

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Thompson, Rachel, Gabrielle Stevens, Ruth Manski, Kyla Z. Donnelly, Daniela Agusti, Sarah Munro, Michelle Banach, et al. Comparing Ways to Support Shared Decision Making about Birth Control Methods during Healthcare Visits. Patient-Centered Outcomes Research Institute (PCORI), April 2021. http://dx.doi.org/10.25302/04.2021.cdr.140312221.

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Lv, Chen. Human-like Decision-making and Control for Automated Driving. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022005.

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The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving will take one step forward to address unsettled technologies in human-like automated driving to break through the limitation for future vehicle automation application existing methods and emerging technologies in Human driving feature modeling and analysis Personalized motion control for AVs Human-like decision making for AVs
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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, James I. Rineer, Daniel Lapidus, Kemen Austin, Katherine P. Woodward, and Robert H. Beach III. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, August 2019. http://dx.doi.org/10.3768/rtipress.2019.rb.0021.1908.

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Despite notable progress in reducing global poverty and hunger in recent decades, about one out of nine people in the world suffers from hunger and malnutrition. Stakeholders charged with making decisions pertaining to agricultural production, development priorities, and policies at a region-to-country scale require quantitative and up-to-date information on the types of crops being cultivated, the acreage under cultivation, and crop yields. However, many low- and middle-income countries lack the infrastructure and resources for frequent and extensive agricultural field surveys to obtain this information. Technology supports a change of paradigm. Traditional methods of obtaining agricultural information through field surveys are increasingly being augmented by images of the Earth acquired through sensors placed on satellites. The continued improvement in the resolution of satellite images, the establishment of open-access infrastructure for processing of the images, and the recent revolutionary progress in artificial intelligence make it feasible to obtain the information at low cost and in near-to-real time. In this brief, we discuss the use of satellite images to provide information about agricultural production in low-income countries, and we comment on research challenges and opportunities. We highlight the near-term potential of the methodology in the context of Rwanda, a country in sub-Saharan Africa whose government has recognized early the value of information technology in its strategic planning for food security and sustainability.
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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The purpose of this study is to use systems thinking skills as a supplemental selection tool when recruiting prospective employees. To the best of our knowledge, there is no prior research that studied the use of systems thinking skills for recruiting purposes. The proposed framework offers an established tool to HRM professionals for assessing and screening of prospective employees of an organization based on their level of systems thinking skills while controlling uncertainties of complex decision-making environment with the fuzzy linguistic approach. This framework works as an expert system to find the most appropriate candidate for the organization to enhance the human capital for the organization.
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Fahr, Sven, Daniel Tschopp, Jan Erik Nielsen, Korbinian Kramer, and Philip Ohnewein. Review of In Situ Test Methods for Solar Collectors and Solar Collector Arrays. IEA SHC Task 55, December 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0014.

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This fact sheet presents three in situ test methods for solar collectors and solar collector arrays, namely In situ Collector Certification (ICC), Performance Check for Collector Arrays (PC) and Dynamic Collector Array Test (D-CAT). A comparison is made regarding their scopes and use cases, methodologies and outcomes, which could serve as a decision-making aid for stakeholders in selecting the procedure that best suits their needs. The analysis shows that the methods do not contradict, but rather complement each other.
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Kerber, Steve, Daniel Madrzykowski, James Dalton, and Robert Backstrom. Improving Fire Safety by Understanding the Fire Performance of Engineered Floor Systems and Providing the Fire Service with Information for Tactical Decision Making. UL Firefighter Safety Research Institute, March 2012. http://dx.doi.org/10.54206/102376/zcoq6988.

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Abstract:
This research project was a collaboration of several research organizations, product manufacturers and fire service representatives to examine hazards associated with residential flooring systems to improve firefighter safety. Funding for this project was provided through the National Institute of Standards and Technology’s American Recovery and Reinvestment Act Grant Program. The main objective of this study was to improve firefighter safety by increasing the level of knowledge on the response of residential flooring systems to fire. Several types (or series) of experiments were conducted and analyzed to expand the body of knowledge on the impact of fire on residential flooring systems. The results of the study have been prepared to provide tactical considerations for the fire service to enable improved decision making on the fire scene. Experiments were conducted to examine several types of floor joists including, dimensional lumber, engineered I-joists, metal plate connected wood trusses, steel C-joists, castellated I-joists and hybrid trusses. Experiments were performed at multiple scales to examine single floor system joists in a laboratory up through a full floor system in an acquired structure. Applied load, ventilation, fuel load, span and protection methods were altered to provide important information about the impact of these variables to structural stability and firefighter safety. There are several tactical considerations that result from this research that firefighters can use immediately to improve their understanding, safety and decision making when sizing up a fire in a one or two family home. This report summarizes the results from each of the experimental series and provides discussion and conclusions of the results.
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10

Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, February 2021. http://dx.doi.org/10.18235/0003042.

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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.
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