Relevant bibliographies by topics / Decision

Contents

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

Academic literature on the topic 'Decision'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Decision"

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Owens, T. J. "Decision, Decisions, Decisions." Seismological Research Letters 76, no. 2 (March 1, 2005): 177. http://dx.doi.org/10.1785/gssrl.76.2.177-a.

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Rigopoulos, Evangelos. "DECODING EDUCATIONAL DECISIONS: TRACING THE EVOLUTION OF DECISION-MAKING THEORIES." Global Multidisciplinary Journal 03, no. 03 (March 1, 2024): 01–06. http://dx.doi.org/10.55640/gmj-abc219.

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Decoding Educational Decisions: Tracing the Evolution of Decision-Making Theories explores the historical trajectory and development of decision-making theories within educational contexts. This paper provides a comprehensive examination of the key theories that have shaped decision-making processes in education over time, shedding light on their evolution, implications, and practical applications. Drawing upon a wide range of scholarly literature and historical perspectives, this study offers valuable insights into how decision-making frameworks have influenced educational practices and policies. By tracing the evolution of these theories, educators and policymakers can gain a deeper understanding of the factors influencing decision-making processes in education and make informed choices to enhance teaching, learning, and organizational effectiveness.
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Natal, Gerald, and Barbara Saltzman. "Decisions, decisions, decisions: decision fatigue in academic librarianship." Journal of Academic Librarianship 48, no. 1 (January 2022): 102476. http://dx.doi.org/10.1016/j.acalib.2021.102476.

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Hossfeld, Steffen. "The Advantage of Digital Decision Making for Strategic Decisions – Proofed by a Supply Chain Case." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 3, no. 5 (2017): 7–20. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.35.1001.

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This paper will discuss the advantage of decision making supported by a digital system and will provide an overview of an empiric analysis researched on this topic. Decision making in organizations is a significant system implied task of managers and therefore a broad area in scientific research, not only in the disciplines management or business studies – even from technical to humanistic disciplines. Nowadays the trend of digitalization captures all areas of life especially in business, as well as the typical management task of decision making. Triggered by the digitalization trend business will move toward an autonomous decision making of machines or cyber systems. The important step toward autonomous decisions or decision support (cyber systems will prepare a decision, but finally executed by a human) will be the next development step for decision making. Designed algorithmic models for these decisions will use the content of classical decision models to reach maximum utility. Hence, a view on classical decision making will illuminate the basis for these models, from researchers like von Neumann/Morgenstern or Bernoulli. Furthermore, digitalization changes the process of decision making, especially focussing on the behavioral part of decisions, discussed from Simon, Selten or Tversky/Kahneman. Due to reason that today the human aspect of decision making is sustainable in organizations. The hypothesis that the digital set up for decision making in organizations will increase the efficiency of strategic decisions will be proofed by an empiric study. The research method for the empirical part of this paper is a questionnaire. It is online questionnaire which will be answered by professionals and scholars. As a typical example of a strategic decision, the author explains a business case in the supply chain function of organizations. A section of the well-known SCOR model will be tested on digitalization characteristics. The research findings of the questionnaire will illustrate that the digitalization of supply chain processes is in the scope of managers and consultants, to reach higher efficiency by increased turnover or by reducing costs. The result of this paper verifies an improved decision process by usage of digital features, but the capability of the entire digital possibilities is not fully achieved yet
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TOFAN, Cezarina Adina. "Optimization Techniques of Decision Making - Decision Tree." Advances in Social Sciences Research Journal 1, no. 5 (September 30, 2014): 142–48. http://dx.doi.org/10.14738/assrj.15.437.

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McCall, Storrs. "Decision." Canadian Journal of Philosophy 17, no. 2 (June 1987): 261–87. http://dx.doi.org/10.1080/00455091.1987.10716436.

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We all make decisions, sometimes dozens in the course of a day. This paper is about what is involved in this activity. It's my contention that the ability to deliberate, to weigh different courses of action, and then to decide on one of them, is a distinctively human activity, or at least an activity which sets man and the higher animals apart from other creatures. It is as much decisio as ratio that constitutes the distinguishing mark of human beings. Homo may not always be rationalis, but he is always decidens.The paper is about practical decision, although there is also another important kind of decision that I won't discuss, namely cognitive decision. The difference is roughly that which distinguishes the function of a jury from that of a judge, at least in jury trials. The jury's job is to arrive at an answer to the question: guilty or not guilty? This is a cognitive decision, a decision that, on the basis of the evidence, such-and-such is the case. The judge, apprized of the jury's cognitive decision, makes the practical decision to sentence the guilty party to 20 years. On some other occasion, I hope to be able to say something about cognitive decision, as well as about a third kind of decision named value decision.
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Mechitov, Alexander, Helen Moshkovich, and Ronald Klimberg. "VERBAL DECISION ANALYSIS FOR STRATEGIC DECISIONS." International Journal of Business Research 22, no. 1 (March 1, 2022): 26–37. http://dx.doi.org/10.18374/ijbr-22-1.4.

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Howard, Ronald A. "Speaking of Decisions: Precise Decision Language." Decision Analysis 1, no. 2 (June 2004): 71–78. http://dx.doi.org/10.1287/deca.1030.0005.

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Steele, Katie, Helen M. Regan, Mark Colyvan, and Mark A. Burgman. "Right Decisions or Happy Decision‐makers?" Social Epistemology 21, no. 4 (October 2007): 349–68. http://dx.doi.org/10.1080/02691720601159711.

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Horvath, Stephan, and Yung‐Shain Wu. "Voiced/unvoiced decision using sequential decisions." Journal of the Acoustical Society of America 86, no. 6 (December 1989): 2477. http://dx.doi.org/10.1121/1.398400.

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Dissertations / Theses on the topic "Decision"

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Müller-Trede, Johannes. "Advisors and groups: essays in social decision making." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/81075.

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The three chapters of this thesis investigate social aspects of judgment and decision making. Chapter One analyses the consequences of making decisions based on predictions of future well-being, and the conditions under which advice can improve these decisions. It shows that an interaction between errors in affective forecasts and the choice process leads to suboptimal decisions and disappointment, and establishes conditions under which advice reduces these effects. The second chapter investigates the boundaries of the result that eliciting more than one estimate from the same person and averaging these can lead to accuracy gains in judgment tasks. It reveals that the technique works only for specific kinds of questions, and people are reluctant to average their initial answers when asked for a final estimate. Finally, Chapter Three reviews experimental results regarding individual and small group behaviour in strategic decision tasks and provides a theoretical framework to analyse the observed differences.
Aquesta tesi investiga diferents aspectes socials de la presa de decisions. El primer capítol analitza les decisions preses en base a les prediccions del benestar futur, i en quines situacions els consells d’altres persones poden millorar aquestes decisions. Es mostra que una interacció entre el procés de l’elecció i les imperfeccions de les prediccions condueix a decisions subòptimes i a la decepció, i s’estableixen les condicions sota les quals els consells redueixen aquests efectes. El segon capítol investigaels casos en què les persones poden millorar les seves prediccions numèriques donant més d’una estimació i prenent-ne la mitjana. A base d’un experiment, es mostra que la tècnica funciona només amb determinats tipus de preguntes, i que les persones són averses a prendre mitjanes de les seves estimacions inicials quan es pregunta per una estimació final. L’últim capítol revisa els resultats experimentals referents a la presa de decisions estratègiques de la persona individual comparats amb els de la persona que forma part d’un grup reduït i proporciona un marc teòric en el que analitza les diferències que s’observen en el seu comportament
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Tatlılıoğlu, Kasım. "DECISIONS AND DECISION MAKING STRATEGIES IN ADOLESCENTS." Thesis, Національний авіаційний університет, 2017. https://er.nau.edu.ua/handle/NAU/48998.

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Tatlılıoğlu, Kasım. "DECISIONS AND DECISION MAKING STRATEGIES IN ADOLESCENTS." Thesis, Національний авіаційний університет, 2017. http://er.nau.edu.ua/handle/NAU/30617.

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Guerriere, Denise Noelle. "Measuring decisional conflict in substitute decision makers, mothers' decisions about initiating gastrostomy tube feeding in children." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0009/NQ41431.pdf.

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Jakobsson, Marianne. "Decisions with Medium to Long-Term Consequences : Decision Processes and Structures." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-95260.

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All of us make more or less important decisions during our entire lives, in private and professional arenas. Some decisions have consequences for an individual or organization in the short term, others have long lasting consequences. This thesis concerns studies of decision processes and structures involved indecision-making with medium to long-term consequences for an organization or individual. Study I and II focus decision-making theory and judgments in procurement. Study III concerns real-life, individual career decision-making. Study I used a laboratory context for an investigation of willingness to pay (WP) for the creation of a procurement offer. Study II investigated organizational decision processes and structures of procurement of large projects in a nuclear power plant organization. Study III investigated the decision process used to make a choice between two professional training programs leading to psychotherapist certification. Study I found, that participants used a multiplicative combination of probability and profit when judging WP for the creation of a bid. Scales of subjective probability had smaller ranges than objective probability. In this context, participants were more sensitive to variation in monetary value than to probability. In Study, II it was possible to describe the procurement process in a framework of information search and decision theory. A Multi Attribute Utility Theory-inspired model was used by the staff, in the evaluations of procurement alternatives. Both compensatory (e.g. negative aspects can be compensated by positive aspects) and non-compensatory (particular “pass” levels of attributes have to be exceeded for acceptance of a choice alternative) decision rules were used. In study III it was found that a development and extension of Differentiation and Consolidation theory described individual reasons pro and con alternatives before and after the choice of a professional training program.

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 1: Submitted. 

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Enoch, John. "Application of Decision Analytic Methods to Cloud Adoption Decisions." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-25560.

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This thesis gives an example of how decision analytic methods can be applied to choices in the adoption of cloud computing. The lifecycle of IT systems from planning to retirement is rapidly changing. Making a technology decision that can be justified and explained in terms of outcomes and benefits can be increasingly challenging without a systematic approach underlying the decision making process. It is proposed that better, more informed cloud adoption decisions would be taken if organisations used a structured approach to frame the problem to be solved and then applied trade-offs using an additive utility model. The trade-offs that can be made in the context of cloud adoption decisions are typically complex and rarely intuitively obvious. A structured approach is beneficial in that it enables decision makers to define and seek outcomes that deliver optimum benefits, aligned with their risk profile. The case study demonstrated that proven decision tools are helpful to decision makers faced with a complex cloud adoption decision but are likely to be more suited to the more intractable decision situations.
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Müller, Daniel [Verfasser]. "Decision support for liner shipping network decisions / Daniel Müller." Paderborn : Universitätsbibliothek, 2018. http://d-nb.info/1171897642/34.

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Platts, Danielle. "Patients' decision making processes for uncertain, risky medical decisions." Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/17546/.

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O'REILLY, CAROLYN STOTZ. "SPECIAL EDUCATION PLACEMENT DECISIONS: A BEHAVIORAL DECISION THEORY PERSPECTIVE." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183983.

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Despite the large number of special education eligibility determinations in which school psychologists are involved, and the great deal of integration and interpretation of information that these decisions require, few investigations of the cognitive strategies that school psychologists utilize in assessing placement candidates have been reported. The purpose of this study was to examine the susceptibility of school psychologists to placement decision bias. Specifically, the influence of referral information on school psychologists' subsequent evaluation and classification of a special education candidate was tested. Forty currently practicing school psychologists evaluated a bogus psychological report allegedly written about a child referred for either Gifted or Learning Disabilities (LD) placement consideration. Although all assessment data were identical, the school psychologists receiving a Gifted referral were more likely to classify the child as Gifted, and those receiving an LD referral were more likely to classify the child as LD. Additionally, the school psychologists recalled and weighted the importance of assessment data in a referral-consistent manner.
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McCleary, Nicola. "Relationships between perceived decision difficulty, decision time, and decision appropriateness in General Practitioners' clinical decision-making." Thesis, University of Aberdeen, 2015. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=229003.

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The aim of this project was to use patient scenarios (clinical/case vignettes) to explore three aspects of General Practitioners' (GPs') clinical decision-making: how difficult decisions are perceived to be, the time taken to make decisions, and the appropriateness of decisions relative to evidence-based clinical guideline recommendations. A systematic review synthesised the results of published scenario studies. A secondary analysis of scenario studies which investigated antibiotic prescribing for upper respiratory tract infection (URTI) and x-ray referral for low back pain was performed. Relationships between the three aspects of decision-making were investigated, and scenario and GP characteristics associated with these aspects were identified. An online scenario study further refined these relationships for two specific URTI types: sore throat and otitis media. Cognitive processes involved in clinical decision-making were investigated in a Think-Aloud interview study, where GPs verbalised their thoughts while making prescribing decisions for URTI scenarios. There was some evidence that inappropriate antibiotic prescribing for URTI was associated with greater decision difficulty and longer decision time. Decisions made using a more effortful cognitive process may therefore be less likely to be appropriate. Illness durations of four or more days and, in otitis media, unilateral ear examination findings were related to inappropriate prescribing. Based on these results, suggestions have been made for informing the design of interventions to support GPs in making appropriate decisions. A secondary aim was to provide an overview of the methodology and reporting of scenario studies. The systematic review indicated a lack of consistency in methodologies, while reporting is often inadequate. Formats less similar to real consultations (e.g. written scenarios) are commonly used: the results of studies using these formats may be less likely to reflect real practice decision-making than studies using more realistic formats (e.g. videos). Based on these findings, methodological recommendations for scenario studies have been developed.
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Books on the topic "Decision"

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Ranta, Ronald. Political Decision Making and Non-Decisions. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137447999.

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Brännback, Malin. Strategic decisions and decision support systems. Åbo: Åbo Akademis förlag, 1996.

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Bucciarelli, Edgardo, Shu-Heng Chen, and Juan Manuel Corchado, eds. Decision Economics: Complexity of Decisions and Decisions for Complexity. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38227-8.

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Alsolami, Fawaz, Mohammad Azad, Igor Chikalov, and Mikhail Moshkov. Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-12854-8.

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Mu, Enrique, and Milagros Pereyra-Rojas. Practical Decision Making using Super Decisions v3. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68369-0.

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John, Hickson David, and University of Bradford. Management Centre., eds. Top decisions: Strategic decision-making in organizations. San Francisco: Jossey-Bass Publishers, 1986.

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1950-, Sisay Asefa, and Western Michigan University. Dept. of Economics., eds. Economic decision making: Private and public decisions. Ames, Iowa: Iowa State University Press, 1985.

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John, Hickson David, ed. Top decisions: Strategic decision-making in organizations. Oxford [Oxfordshire]: Basil Blackwell, 1986.

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Rapoport, Anatol. Decision Theory and Decision Behaviour. London: Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1057/9780230377769.

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Rapoport, Anatol. Decision Theory and Decision Behaviour. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-7840-0.

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Book chapters on the topic "Decision"

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Chikalov, Igor, and Beata Zielosko. "Decision Rules for Decision Tables with Many-Valued Decisions." In Rough Sets and Knowledge Technology, 763–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24425-4_95.

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MacCrimmon, Kenneth R. "Decision Theory and Real Decisions:." In Uncertain Decisions, 263–91. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5083-9_12.

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Stollberg-Rilinger, Barbara. "Decision." In Critical Terms in Futures Studies, 73–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28987-4_12.

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Althaus, Catherine, Sarah Ball, Peter Bridgman, Glyn Davis, and David Threlfall. "Decision." In The Australian Policy Handbook, 124–36. 7th ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003351993-9.

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Weik, Martin H. "decision." In Computer Science and Communications Dictionary, 369. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_4510.

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Furneaux, Rupert. "Decision." In Massacre at Amritsar, 153–60. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003319665-15.

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Hoffmann, Stefan, and Payam Akbar. "Decision." In Consumer Behavior, 99–116. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-39476-9_7.

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Ghani, Rohma, and Benjamin H. Mullish. "Decision." In The 6 Ds of Fecal Microbiota Transplantation, 43–53. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003522423-5.

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Rupawala, Abbas, and Colleen R. Kelly. "Decision." In The 6 Ds of Fecal Microbiota Transplantation, 27–41. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003522423-4.

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Grąbczewski, Krzysztof. "Validated Decision Trees versus Collective Decisions." In Computational Collective Intelligence. Technologies and Applications, 342–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23938-0_35.

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Conference papers on the topic "Decision"

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Azad, Mohammad, Igor Chikalov, and Mikhail Moshkov. "Optimization of Decision Rule Complexity for Decision Tables with Many-Valued Decisions." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.81.

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Lausberg, Carsten, and Patrick Krieger. "Decisions, decision-making, and decision support systems in real estate investment management." In 22nd Annual European Real Estate Society Conference. European Real Estate Society, 2015. http://dx.doi.org/10.15396/eres2015_215.

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Baby, Mathew, and Anand Balu Nellippallil. "An Information-Decision Framework to Support Cooperative Decision Making in the Top-Down Design of Cyber-Physical-Manufacturing Systems." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-90836.

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Abstract Decision-making in the design of cyber-physical manufacturing (CPM) systems is complex due to many decisional entities and their complex interactions that need to be appropriately modeled and analyzed. One approach to designing these systems is the goal-oriented inverse design (GoID), using which satisficing design solutions are sought in a top-down manner. In this approach, entity decisions are directed towards meeting the goals propagated inversely from the subsequent entity in the manufacturing sequence. However, achieving the goals in a top-down manner may not be feasible for certain scenarios due to the defined constraints, available bounds, and targets for an entity. This leads to design conflicts between the entities and loss in entity and overall system-level performances. In this paper, we propose an information-decision framework that allows designers to model entity decision-making in a goal-directed manner, detect potential conflicts between entities, and regulate entity-level decisions to achieve improved entity and system-level performances. The regulation of entity decisions is accomplished by modifying active design variable bounds (considering the sensitivity of the goals to design variables), active constraint limits, or both jointly. The efficacy of the proposed framework is tested using a hot rod rolling problem involving sequential decisions. Using the problem, we showcase the use of the framework in detecting and systematically managing conflicts while designing the material, product, and manufacturing processes involved. The framework is generic, facilitates the top-down sequential design of interacting entities, and promotes cooperative design decision-making to manage design conflicts.
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Berkhout, Matthijs, and Koen Smit. "Utilizing Algorithms for Decision Mining Discovery." In Digital Restructuring and Human (Re)action. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.4.2022.21.

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Organizations are executing operational decisions in fast changing environments, which increases the necessity for managing these decisions adequately. Information systems store information about such decisions in decision- and event logs that could be used for analyzing decisions. This study aims to find relevant algorithms that could be used to mine decisions from such decision- and event logs, which is called decision mining. By conducting a literature review, together with interviews conducted with experts with a scientific background as well as participants with a commercial background, relevant classifier algorithms and requirements for mining decisions are identified and mapped to find algorithms that could be used for the discovery of decisions. Five of the twelve algorithms identified have a lot of potential to use for decision mining, with small adaptations, while six out of the twelve do have potential but the required adaptation would demand too many alterations to their core design. One of the twelve was not suitable for the discovery of decisions.
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Hassanien, Sherif, Doug Langer, and Mona Abdolrazaghi. "Integrity Risk-Informed Decision Making." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78149.

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Over the last three decades, safety-critical industries (e.g. Nuclear, Aviation) have witnessed an evolution from risk-based to risk-informed safety management approaches, in which quantitative risk assessment is only one component of the decision making process. While the oil and gas pipeline industry has recently made several advancements towards safety management processes, their safety performance may still be seen to fall below the expected level achieved by other safety-critical industries. The intent of this paper is to focus on the safety decision making process within pipeline integrity management systems. Pipeline integrity rules, routines, and procedures are commonly based on regulatory requirements, industry best practices, and engineering experience; where they form “programmed” decisions. Non-programmed safety and business decisions are unique and “usually” unstructured, where solutions are worked out as problems arise. Non-programmed decision making requires more activities towards defining decision alternatives and mutual adjustment by stakeholders in order to reach an optimal decision. Theoretically, operators are expected to be at a maturity level where programmed decisions are ready for most, if not all, of their operational problems. However, such expectations might only cover certain types of threats and integrity situations. Herein, a formal framework for non-programmed integrity decisions is introduced. Two common decision making frameworks; namely, risk-based and risk-informed are briefly discussed. In addition, the paper reviews the recent advances in nuclear industry in terms of decision making, introduces a combined technical and management decision making process called integrity risk-informed decision making (IRIDM), and presents a guideline for making integrity decisions.
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Nikolaeva Stoyanovich, Anastasiya. "Decision-Making in Private and Professional Life." In Interdisciplinarity Counts. University of Maribor, University Press, 2023. http://dx.doi.org/10.18690/um.fov.3.2023.59.

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In life, we are faced with making decisions every day, whether they are of private or business importance. Decisions are the result of the decision-making process, which bring us certain consequences, whether they are positive or negative. The decision-making process is demanding in itself, a situation in which we are forced to make a selection between two or more things, and thus arrive at a final decision. We will begin with a theory review on the topics of the decision making process, continue with decision making under conditions of uncertainty and in uncertain situations. Our discussion will focus on how the decision-making in private in professional life varies. We identify as the main difference between decision-making in private vs. decision-making in professional life to be our emotional involvement. We emphasize the importance of making the right decisions and managing the consequences of our decisions.
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Gu, Xiaoyu, John E. Renaud, Leah M. Ashe, Stephen M. Batill, Amarjit S. Budhiraja, and Lee J. Krajewski. "Decision-Based Collaborative Optimization Under Uncertainty." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14297.

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Abstract In this research a Collaborative Optimization (CO) approach for multidisciplinary systems design is used to develop a decision based design framework for non-deterministic optimization. To date CO strategies have been developed for use in application to deterministic systems design problems. In this research the decision based design (DBD) framework proposed by Hazelrigg (1996a, 1998) is modified for use in a collaborative optimization framework. The Hazelrigg framework as originally proposed provides a single level optimization strategy that combines engineering decisions with business decisions in a single level optimization. By transforming the Hazelrigg framework for use in collaborative optimization one can decompose the business and engineering decision making processes. In the new multilevel framework of Decision Based Collaborative Optimization (DBCO) the business decisions are made at the system level. These business decisions result in a set of engineering performance targets that disciplinary engineering design teams seek to satisfy as part of subspace optimizations. The Decision Based Collaborative Optimization framework more accurately models the existing relationship between business and engineering in multidisciplinary systems design.
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Herling, Derald, David G. Ullman, and Bruce D’Ambrosio. "Engineering Decision Support System (EDSS)." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0196.

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Abstract Engineers, as well as other decision makers, are required to make many decisions as they are designing a product or resolving a problem. At these decision points there are many alternatives and criteria to be considered. Studies of design sessions show that most decisions made during these times are in an ad hoc manner. Greater understanding of the mechanical design process, data representation for collaborative design and probabilistic inferences have allowed the creation of a computer decision support program, called Engineering Decision Support System (EDSS), that addresses the special needs of design engineers.1 This paper introduces this work, which is still in the developmental stages.
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Öztopçu, Aslı. "The Role of Emotions in Economic Decision Making." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02259.

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Decision making points out to the consequences of past or future behaviors. An individual has to make decisions on all subjects throughout his life. An important part of these decisions are economic decisions. Individuals make decisions such as renting, buying, buying new goods, migrating, changing jobs, making investments, enterprise, choosing holidays, evaluating savings. Non-rational decisions are observed although individuals should make rational decision, according to mainstream economics. In this study, the effects of the emotions that form the basis of psychology, such as time, option constraint, opportunities, risk taking, risk aversion, procrastination, rush, or uncertainty, inconsistency, intuitive movement, cognitive error in the decision-making process of individuals are discussed. For this purpose, the characteristics of decision-making process, individual effects of cognitive of emotions, individual decision making theorems in economic theory and behavioral economics literature are mentioned. It is thought that the role of emotions that shape behaviors should be known in the regulation of economic life that is determined according to human behavior.
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KACPRZYK, JANUSZ. "DECISION MAKING, DECISION PROCESSES AND DECISION SUPPORT SYSTEMS." In Proceedings of the MS'10 International Conference. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814324441_0002.

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Reports on the topic "Decision"

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Sheaves, III, and William B. Decision Making and Decision System Technology. Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada264067.

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Jung, Kooyul, Yong-Cheol Kim, and Rene Stulz. Investment Opportunities, Managerial Decisions, and the Security Issue Decision. Cambridge, MA: National Bureau of Economic Research, October 1994. http://dx.doi.org/10.3386/w4907.

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Marr, John J. The Military Decision Making Process: Making Better Decisions Versus Making Decisions Better. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada392009.

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Disbrow, Lisa S. Decision Superiority: Transforming National Security Decision-Making. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada441507.

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Disbrow, Lisa. Decision Superiority: Transforming National Security Decision-Making. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada442501.

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Lou, Wei. A Non-decision-reaching Decision-making process. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1192.

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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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Klimack, William K., Christopher B. Bassham, Kenneth W. Bauer, and Jr. Application of Decision Analysis to Automatic Target Recognition Programmatic Decisions. Fort Belvoir, VA: Defense Technical Information Center, April 2002. http://dx.doi.org/10.21236/ada401738.

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Marold, Juliane, Ruth Wagner, Markus Schöbel, and Dietrich Manzey. Decision-making in groups under uncertainty. Fondation pour une culture de sécurité industrielle, February 2012. http://dx.doi.org/10.57071/361udm.

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The authors have studied daily decision-making processes in groups under uncertainty, with an exploratory field study in the medical domain. The work follows the tradition of naturalistic decision-making (NDM) research. It aims to understand how groups in this high reliability context conceptualize and internalize uncertainties, and how they handle them in order to achieve effective decision-making in their everyday activities. Analysis of the survey data shows that uncertainty is thought of in terms of issues and sources (as identified by previous research), but also (possibly a domain-specific observation) as a lack of personal knowledge or skill. Uncertainty is accompanied by emotions of fear and shame. It arises during the diagnostic process, the treatment process and the outcome of medical decision making. The most frequently cited sources of uncertainty are partly lacking information and inadequate understanding owing to instability of information. Descriptions of typical group decisions reveal that the individual himself is a source of uncertainty when a lack of knowledge, skills and expertise is perceived. The group can serve as a source of uncertainty if divergent opinions in the decision making group exist. Three different situations of group decisions are identified: Interdisciplinary regular meetings (e.g. tumor conferences), formal ward meetings and ad hoc consultations. In all healthcare units concerned by the study, only little use of structured decision making procedures and processes is reported. Strategies used to handle uncertainty include attempts to reduce uncertainty by collecting additional information, delaying action until more information is available or by soliciting advice from other physicians. The factors which ultimately determine group decisions are hierarchy (the opinion of more senior medical staff carries more weight than that of junior staff), patients’ interest and professional competence. Important attributes of poor group decisions are the absence of consensus and the use of hierarchy as the predominant decision criterion. On the other hand, decisions judged to be effective are marked by a sufficient information base, a positive discussion culture and consensus. The authors identify four possible obstacles to effective decision making: a steep hierarchy gradient, a poor discussion culture, a strong need for consensus, and insufficient structure and guidance of group decision making processes. A number of intervention techniques which have been shown in other industries to be effective in improving some of these obstacles are presented.
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Wilson, Michael J., and M. S. Perry. The Career Decision Survey: Modeling the Army Enlistment Decision. Fort Belvoir, VA: Defense Technical Information Center, October 1988. http://dx.doi.org/10.21236/ada203870.

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