Relevant bibliographies by topics / Decision-making methods

Contents

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

Academic literature on the topic 'Decision-making methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 June 2025

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Journal articles on the topic "Decision-making methods"

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Dimanova, Donika. "MATHEMATICAL METHODS FOR DECISION-MAKING." Journal Scientific and Applied Research 7, no. 1 (2015): 88–97. http://dx.doi.org/10.46687/jsar.v7i1.169.

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The report will set out a systematic introduction to the mathematical methods that facilitate decision-making in many areas of human activity. Especially important are these methods in solving problems in the management and decision-making in emergency situations. The formation of strategic and tactical decisions, the governing body must take into account the multiple and conflicting considerations of which to seek the most effective option.
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Dilshod Qizi, Murotjonova Mubina. "MANAGEMENT DECISION-MAKING AND IMPROVEMENT METHODS." International Journal of Advance Scientific Research 03, no. 05 (2023): 47–54. http://dx.doi.org/10.37547/ijasr-03-05-08.

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The nature of solutions in economic management is directly related to management decisions. The highest efficiency of economic activity can be achieved by choosing the right management decisions. Also, the correct adoption and timely execution of production, technical tasks, social, economic and legal decisions is the most important factor in achieving economic efficiency. This article talks about management methods and management decisions, effectiveness of management activities, problematic situations in economic management and their solutions.
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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 (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 (1992): 159–62. http://dx.doi.org/10.1177/0272989x9201200301.

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Kramarenko, A. О. "Effective Decision-Making: From Theory and Methods to Strategy and Leadership." Business Inform 5, no. 532 (2022): 118–25. http://dx.doi.org/10.32983/2222-4459-2022-5-118-125.

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Since the decision-making process is becoming more multifactorial and multidimensional, determined by the type of problem being solved, leadership style, limiting factors, external and internal environment of the company, it is quite logical that the materials of the article are focused on identifying the most effective decision-making tools. In the course of the study, the basic theories of decision-making were classified into 3 groups: problem-oriented theories; solution-oriented theories; role-oriented theories. It is emphasized that the dominance of theoretical approaches to decision-making determines the choice of appropriate decision-making methods, which are divided into qualitative (evaluative, expert-analytical, mixed) and quantitative (methods in conditions of certainty and methods in conditions of uncertainty). The complex of approaches and methods used forms the basis for a key decision–making strategy - analytical, heuristic or expert. The carried out content analysis of the survey results of company executives organized by McKinsey allows to identify the most common leadership styles – Catalyst, Adapter and Guardian. The correspondence between such leadership styles as Adapter and Guardian, problem-oriented theories, analytical strategies and quantitative methods of decision-making has been established. The most popular methods are methods of game theory, scenario method, Delphi method, combining expert assessments, qualitative analysis and reasonable comparison of various alternatives. The most promising directions for improving the decision-making system for business are the scientific approach, the use of mathematical and statistical analytics, the establishment of clear criteria for decision-making and measuring theresults, the maximum possible involvement of stakeholders in the discussion, high responsibility and attachment to financial results, as well as orientation to a high level of professionalism of managers and owners of companies.
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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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O’gli, Mirzaxmatov Baxodir Baxromboy. "GENERAL PSYCHOLOGY OF DECISION MAKING." International Journal of Advance Scientific Research 4, no. 3 (2024): 164–67. http://dx.doi.org/10.37547/ijasr-04-03-30.

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This doctoral thesis explores the intricate relationship between organizational culture and decision-making under uncertainty, aiming to uncover how cultural norms, values, beliefs, and practicesinfluence both individual and collective decision-making processes. Employing a mixed-methods approach, the study combines quantitative surveys with qualitative interviews and case studies across various industries to provide a comprehensive analysis of the impact of organizational culture on decision-making efficacy in uncertain environments.
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Zeng, Shouzhen. "Uncertain Intelligent Computational Decision-Making Methods." Recent Advances in Computer Science and Communications 14, no. 8 (2021): 2465–66. http://dx.doi.org/10.2174/266625581408210219152347.

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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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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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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.<br>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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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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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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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<br>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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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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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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Dombal, F. T. De. Surgical decision making. Butterworth-Heinemann, 1993.

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

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

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Northwest Power Planning Council (U.S.), ed. Systematic assessment methods for decision-making. The Council, 1992.

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Gérard, Colson, Bruyn Christian de 1940-, and Rodin E. Y, eds. Models and methods in multiple criteria decision making. Pergamon Press, 1989.

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

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1963-, Fermüller C., ed. Resolution methods for the decision problem. Springer-Verlag, 1993.

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

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

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National Defense University. Decision Support Systems Dept, ed. Computer-assisted methods for executive decision-making. National Defense University, Decision Support Systems Dept., 1987.

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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. 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. Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-0-230-36582-7_26.

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Zhang, Hao. "Decision-Making Methods." In Models and Methods for Management Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1614-4_2.

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Ridderikhoff, J. "Clinical decision-making." In Methods in Medicine. 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. 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. 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. 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. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86208-4_2.

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Noack, Marcus M., and Kevin G. Yager. "Autonomous Intelligent Decision Making." In Methods and Applications of Autonomous Experimentation. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003359593-21.

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Krastanov, Mikhail I., and Boyan K. Stefanov. "On Decision Making Under Uncertainty." In Numerical Methods and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32412-3_19.

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Conference papers on the topic "Decision-making methods"

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Chen, Dingyang, Qi Zhang, and Yinglun Zhu. "Efficient Sequential Decision Making with Large Language Models." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.517.

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Price, Stephen, and Danielle Cote. "Document Analysis with LLMs: Assessing Performance, Bias, and Nondeterminism in Decision Making." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013094300003905.

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Hu, Zhe, Yixiao Ren, Jing Li, and Yu Yin. "VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.137.

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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. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/carma2018.2018.8312.

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Mezhuyev, Vitaliy, Oleg M. Lytvyn, Iuliia Pershyna, et al. "Acceptance of the Methods of Decision-making." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. ACM, 2019. http://dx.doi.org/10.1145/3316615.3316677.

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

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

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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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Buiak, Lesia, Serhii Matiukh, Olga Gonchar, Liudmyla Yemchuk, Larysa Dzhulii, and Lesia Bilorusets. "Methods and Models in Management Decision-Making." In 2023 13th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2023. http://dx.doi.org/10.1109/acit58437.2023.10275466.

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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. Defense Technical Information Center, 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), 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. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada304110.

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Parzen, Elias, and Christian Johnson. Harnessing Condorcet Methods to Improve Decision-making Based on Ranked Data. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1875637.

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Gagnon, Paul, Jeanette Gallihugh, Shawn Komlos, et al. Incorporating social and environmental outputs in decision-making : workshop outcomes. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45700.

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This document summarizes the notable outcomes of the workshop “Quantifying and Incorporating Social and Environmental Outputs in Decision-Making—Research and Development Needs and Strategy Workshop.” The workshop was held 24 and 25 July 2019 in Alexandria, Virginia, at the US Army Corps of Engineers’ (USACE) Institute for Water Resources (IWR). The workshop sought to identify gaps in knowledge, methods, data, and tools and to identify types of subject matter experts who would be needed for the research team. A total of 22 participants attended the facilitated workshop, representing a broad array of expertise: economists, scientists, planners, social scientists, project managers, and researchers from a number of USACE organizations and partnering academics across the United States. Together, these attendees reviewed existing policy and research and prioritized future work to fill gaps in methods and procedures for incorporating social and environmental inputs across a broad range of USACE projects.
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Lv, Chen. Human-like Decision-making and Control for Automated Driving. SAE International, 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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Thompson, Rachel, Gabrielle Stevens, Ruth Manski, et al. Comparing Ways to Support Shared Decision Making about Birth Control Methods during Healthcare Visits. Patient-Centered Outcomes Research Institute (PCORI), 2021. http://dx.doi.org/10.25302/04.2021.cdr.140312221.

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Moodie, Erica. Statistical Methods for Adaptive Treatment Strategies. Instats Inc., 2025. https://doi.org/10.61700/ilz9icyc1w4651357.

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This one-day workshop provides an introduction to statistical methods for adaptive treatment strategies, crucial for advancing personalized medicine. Participants will learn about single-stage and multi-stage analyses, and be equipped with skills to enhance clinical decision-making and research outcomes in their own work.
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Zio, Enrico, and Nicola Pedroni. Literature review of methods for representing uncertainty. Fondation pour une culture de sécurité industrielle, 2013. http://dx.doi.org/10.57071/124ure.

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Abstract:
This document provides a critical review of different frameworks for uncertainty analysis, in a risk analysis context: classical probabilistic analysis, imprecise probability (interval analysis), probability bound analysis, evidence theory, and possibility theory. The driver of the critical analysis is the decision-making process and the need to feed it with representative information derived from the risk assessment, to robustly support the decision. Technical details of the different frameworks are exposed only to the extent necessary to analyze and judge how these contribute to the communication of risk and the representation of the associated uncertainties to decision-makers, in the typical settings of high-consequence risk analysis of complex systems with limited knowledge on their behaviour.
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Temple, Dorota S., Jason S. Polly, Meghan Hegarty-Craver, et al. The View From Above: Satellites Inform Decision-Making for Food Security. RTI Press, 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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