Relevant bibliographies by topics / Decision making tools

Contents

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

Academic literature on the topic 'Decision making tools'

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

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Journal articles on the topic "Decision making tools"

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Barksdale, Cheryl, and Anne D. Smith. "Decisions, Decisions . . . Resources and Tools for Complex Decision Making." Journal of Management Education 38, no. 6 (2014): 894–98. http://dx.doi.org/10.1177/1052562914545226.

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S.PUSHPARANI, S. PUSHPARANI, and Dr S. SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR. "Selection of Contractor Using Multi-Criteria Decision Making Tools." Indian Journal of Applied Research 4, no. 4 (2011): 139–42. http://dx.doi.org/10.15373/2249555x/apr2014/259.

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D'Andrea, Guy. "Tools for effective decision making." Case Manager 17, no. 1 (2006): 43–59. http://dx.doi.org/10.1016/j.casemgr.2005.09.004.

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Ziętek, Agnieszka. "Publiczne zarządzanie partycypacyjne. O narzędziach włączania obywateli w procesy decyzyjne." Studia Politologiczne, no. 2/2022(64) (June 15, 2022): 44–65. http://dx.doi.org/10.33896/spolit.2022.64.3.

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This article aim is to address the question of whether the assumptions of participatory public management can be implemented through the use of available methods and tools of citizen participation, and in relation to specific stages of the decision-making process. It is hypothesized that despite the attractive aspects of strengthening public involvement in decision-making processes, the practical implementation of participatory governance in decision-making processes is limited due to a lack of sufficient resources and tools. Participatory budgets, which are quite popular, and citizen panels, which are just starting, can be considered examples of successful projects to some extent. Decision making can be carried out through both tools, such as entry (situation assessment) and conversion (decision making). On the other hand, there is concern about the possibility that the techniques and tools discussed for civic participation can be used to carry out the third and final phase of the decision-making process, i.e., implementing the decision made.
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Kenney, Renee Deehan. "Decision-Making Tools in Rheumatoid Arthritis." Clinical OMICs 2, no. 9 (2015): 21–22. http://dx.doi.org/10.1089/clinomi.02.09.08.

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Yorkston, Kathryn M., and David R. Beukelman. "Dysarthria: Tools for Clinical Decision-Making." ASHA Leader 9, no. 9 (2004): 4–21. http://dx.doi.org/10.1044/leader.ftr2.09092004.4.

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Martínez, Luis, Da Ruan, Francisco Herrera, Enrique Herrera-Viedma, and P. P. Wang. "Linguistic decision making: Tools and applications." Information Sciences 179, no. 14 (2009): 2297–98. http://dx.doi.org/10.1016/j.ins.2008.12.017.

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Vriens, Dirk, and Jan Achterbergh. "Tools for Supporting Responsible Decision-Making?" Systems Research and Behavioral Science 32, no. 3 (2013): 312–29. http://dx.doi.org/10.1002/sres.2246.

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Mohamad Taib, Husna, and Norhayati Rafida Abdul Rahim. "WAZUP! COMMUNICATION TOOLS IN ORGANIZATIONAL DECISION-MAKING." Perspektif Komunikasi: Jurnal Ilmu Komunikasi Politik dan Komunikasi Bisnis 7, no. 1 (2023): 103. http://dx.doi.org/10.24853/pk.7.1.103-114.

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The WhatsApp application has become the latest trend as a communication tool used in organizations to interact with each other. Most of its use is to convey official or personal information and get immediate feedback. Employees can send information and attach text, images, videos, and audio files. Additionally, users can form specific groups through the WhatsApp application. However, it is unclear to what extent WhatsApp is used as a communication tool that supports decision-making in organizations. This study aims to identify the extent to which WhatsApp is used in the organization and employees' perspectives as an internal organizational communication tool supporting employee decision-making. A quantitative survey method was used to distribute this study through email to executives and non-executives from the selected organization, namely the Malaysian Communications and Multimedia Commission (SKMM), a regulatory body organization under the Ministry of Communications and Digital. Based on the findings of the study, WhatsApp is widely used by SKMM staff to share information, manage daily work routines, and make quick and effective decisions. This WhatsApp is considered an alternative that can be used as a communication tool that supports quick decision-making by the staff in the organization. Most of them agree and gain satisfaction from its use, especially when an immediate decision is needed. The study also shows that all MCMC employees need WhatsApp communication during working hours.
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Mashego, Maite Sara. "Lone ranger decision making versus consensus decision making: Descriptive analysis." Journal of Governance and Regulation 4, no. 4 (2015): 548–52. http://dx.doi.org/10.22495/jgr_v4_i4_c4_p12.

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Consensus decision making, concerns group members make decisions together with the requirement of reaching a consensus that is all members abiding by the decision outcome. Lone ranging worked for sometime in a autocratic environment. Researchers are now pointing to consensus decision-making in organizations bringing dividend to many organizations. This article used a descriptive analysis to compare the goodness of consensus decision making and making lone ranging decision management. This article explored the models, roles, tools and methods of consensus decision making. The results were that consensus decision making brings people together and cements the relationship among employees. The lone ranger’s decision is only consented to by staff but inwardly disagreeable resulting in short term benefits but long term collapse of organizations.
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Dissertations / Theses on the topic "Decision making tools"

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Lu, Jingyan 1971. "Supporting medical decision making with collaborative tools." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103266.

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This study examines the decision-making activities and communicative activities of two groups participating in a simulated medical emergency activity: the control group (CG) using a traditional whiteboard and the experimental group (EG) using a structured interactive whiteboard. The two groups differ in that the EG has a structured template to annotate and share their arguments with each other. Data analysis of the decision-making activities focused on planning, data collecting, managing, and interpreting patient data. Data analysis of the communicative activities focused on informative, argumentative, elicitative, responsive, and directive acts. In the early stage of decision-making the EG spent significantly more time interpreting the situation and less time managing the patient than the CG; in the later stage the EG spent significantly more time managing the patient but less time interpreting the situation. No significant results were found in communicative activities due to low cell frequencies of the utterances. Qualitative results indicated that shared visualizations can disambiguate and clarify verbal interactions and promote productive argumentation and negotiation activities. Shared cognition facilitates the construction of shared situation models and joint problem spaces which lead to better decision making and problem solving.
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Rick, Christian. "Computers as tools for ethical decision making." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-252088.

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ew technology gives rise to new moral problems and dilemmas. We can therefore no longer be sure that our previously collected moral knowledge for dealing with everyday life situations applies to the new situations that arise as a consequence of modern technology. Thus we are forced to seek new answers and to re-examine the foundations of our moral reasoning. To find these new answers we need an autonomous approach to moral problem solving. Education can help increase the moral awareness in computer professionals by training them in disregarding moral fixations and automatic reactions, instead solving the problem using critical thinking and consideration of all values, interests, feelings, duties, needs, and beliefs of all those somehow involved. As a complement to education various support systems can be implemented to help professionals solve moral problems much in the same way as with normal problem solving. Some of these methods are suitable for computerization, creating a moral computer not as a moral authority or a set of guidelines but as an application that guides the user in a process of autonomy, helping the decision maker to make autonomous decisions. Three different approaches to creating a computerized tool for ethical decision- making were prototyped, tested, and evaluated resulting in an indication that such a tool has its merits and can offer benefits over a pen and paper method.
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Simoes, Alexander James Gaspar. "The observatory : designing data-driven decision making tools." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76532.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 52-56).<br>Creative usages of graphics to encode information date back to at least the beginnings of the industrial revolution. It is also around that same time that a gap between the wealthiest of nations and least begins to develop. How can we use techniques of visualization complimented with vast amounts of data to provide a lens by which we may understand economic development? The amount of computing power and data available at our finger tips is increasing everyday. This thesis will introduce The Observatory as a tool that combines big data with interactive visualizations as a means for discerning the patterns found in economic development over the past 50 years. The tool draws on influences from other interactive visualizations tools as well as theory and literature from the field of complexity economics. The impact of this tool has already begun to emerge with its proliferation online and usage by experts in the field of development economics.<br>by Alexander James Gaspar Simoes.<br>S.M.
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Dowling, Karilynn, Nicholas E. Hagemeier, Daniel Hartung, and Nicole O'Kane. "Tools and Training to Optimize Pharmacist Decision-Making." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/1412.

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The next presentation will examine common gray areas of community pharmacy practice. For example: under what circumstances do pharmacists fill early, transferred controlled substance prescriptions for out-of-town patients; when do pharmacists sell syringes to patients without proof of medical need; and how do pharmacists determine that a buprenorphine prescriber is acting in a patient's best interest? These and other ethical or legal dilemmas challenge pharmacists as they try to balance identifying and preventing potential drug abuse and diversion with providing evidence-based, quality patient care. Based on data from pharmacists and pharmacy students, as well as established theory, presenters will describe typical approaches to decision-making. Multiple pharmacy cases will be discussed. Participants will learn how to integrate best-practice patient care systematically into common practice scenarios.
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Abdel, Moteleb Moustafa. "Risk Based Decision Making Tools for Sewer Infrastructure Management." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1282051778.

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DeTar, Charles (Charles Frederick). "InterTwinkles : online tools for non-hierarchical, consensus-oriented decision making." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/91432.

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Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages [165]-173).<br>Non-hierarchical, participatory, consensus-based decision making has seen an explosion in popularity in recent years. The traditional techniques of formal consensus, however, are limited to face-to-face meetings, which can limit organizations' capacity due to their time and cost. InterTwinkles is a set of integrated but composable online tools designed to assist small and medium-sized groups in engaging in formal group decision making processes online. In this thesis, I present a thorough investigation of the ethical and practical motivations for consensus decision making, and relate these to concerns of control and autonomy in the design of online systems. I describe the participatory and iterative design process for building an online platform for consensus, with particular attention to the practical constraints of real-world groups with mixed technical aptitude. I present the results of a three month field trial with six cooperative groups in the Boston area, and evaluate the results through the lens of adaptive structuration theory, with particular attention on the fit between the ethical motivations and performance outcomes.<br>by Charles DeTar.<br>Ph. D.
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Hedin, Nathalie, and Adrian Zander. "Using KPIs in decision-making tools in the construction industry." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253805.

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The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.This study examines which KPIs that are of common interest to companies and organizations in the construction industry as well as how these KPIs can be presented to the end users of a BI application. To investigate this, data is collected through literature studies and interviews, which results in a list of common KPIs for the industry. From this common list, a number of KPIs are selected to be visually represented.An analysis of the results, indicates that KPIs are of different importance and relevance depending on which sector of the construction industry the interviewee belongs to. There also appears to be sector-specific KPIs and the common list suggests that the profit margin is of great importance throughout the whole industry. KPIs can be represented in different types of charts and diagrams, depending on the purpose they hold, and should be designed so that they are intuitive and easy to understand.<br>Bygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.
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BELLINGERI, ANDREA. "WHOLE FARM DECISION MAKING AND TOOLS FOR DAIRY FARMS PROFITABILITY." Doctoral thesis, Università Cattolica del Sacro Cuore, 2020. http://hdl.handle.net/10280/72496.

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Nel tentativo di rispondere alle richieste della società per lo sviluppo sostenibile, i sistemi agricoli di tutto il mondo devono affrontare sfide ambientali, tecniche ed economiche. I raccolti irregolari, i prezzi fluttuanti delle materie prime e l'impatto delle attività agricole sull'ambiente sono preoccupazioni crescenti. Le tendenze demografiche effettive e i maggiori costi energetici potrebbero complicare ulteriormente lo scenario nel prossimo futuro. La ricerca sta affrontando queste sfide lavorando su sistemi di allevamento e zootecnia più sostenibili e rispettosi dell'ambiente in grado di fornire sia alti livelli di produttività che sostenibilità economica per gli agricoltori. Per ottenere un effetto, le innovazioni derivate dalla ricerca devono essere implementate a livello di azienda agricola. Tuttavia, a causa delle relazioni tra i vari elementi del bestiame nel sistema di produzione lattiero-casearia, la diversità delle aziende agricole anche in una piccola area rende complessa la piena attuazione di tali raccomandazioni. Abbiamo scoperto che pochissimi studi tentano di affrontare i tre componenti principali dei sistemi di produzione di caseifici (bestiame, terreni coltivati, mercato e materie prime) all'interno di un unico quadro di ricerca. Abbiamo quindi sviluppato un quadro collegando le caratteristiche e le esigenze del bestiame, le caratteristiche dei terreni coltivati ​​e le opportunità di mercato per sostenere il piano di coltivazione e la gestione nutrizionale a livello aziendale al fine di massimizzare i profitti e ridurre i costi di produzione del latte. Abbiamo scoperto che il costo reale di produzione in loco dei principali foraggi coltivati ​​presenta un'elevata variabilità tra le aziende agricole e che una strategia decisionale dedicata al piano colturale è un modo adatto per migliorare le IOFC (reddito sul costo dell'alimentazione) a livello di azienda agricola.<br>In trying to respond to the society demands for sustainable development, environmental, technical and economic challenges are faced by farming systems worldwide. Irregular crop yields, fluctuating commodities prices, and the impact of agricultural activities on the environment are growing concerns. Actual demographic trends and higher energy costs are likely to further complicate the scenario in the near future. Research is facing these challenges by working on more sustainable and environmental friendly cropping and livestock systems able to provide both high productivity levels and economical sustainability for farmers. To obtain an effect, innovations derived from the research, has to implemented at the farm level. However, due to the relationships between the various elements of the cropping-livestock in the dairy production system, the farms diversity even in a small area, make the fully implementation of such recommendations complex. We found that very few studies attempt to address the three main components of the dairy farm production systems (livestock, crop land, market and commodities) within a single research framework. We therefore developed a framework by connecting livestock characteristics and requirement, crop land characteristics and market opportunities to support cropping plan and nutritional management at the farm level in order to maximize profit and reducing milk costs of production. We found that home-grown real cost of production of the main forages cultivated has a high variability among farms and that a dedicated crop plan decision making strategy is a suitable way to improve IOFC (Income Over Feed Cost) at the farm level.
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Valente, Patrick. "Software tools for the investigation of stochastic programming problems." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270578.

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Sequeira, Movin. "Developing decision-support tools for evaluation of manufacturing reshoring decisions." Licentiate thesis, Tekniska Högskolan, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48263.

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During last three decades, companies have offshored their manufacturing activities across international borders in order to pursue lower manufacturing costs. Despite having accomplished their purpose, companies have also suffered from issues, especially poor quality of products and a poor response to customer demand. Therefore, companies consider relocating some of the manufacturing activities back to the home country, a process that is known as manufacturing reshoring. There is paucity of scholarly attention on how manufacturing reshoring decisions are evaluated and supported. Therefore, the purpose of this thesis is to develop decision-support tools to evaluate manufacturing reshoring decisions. In order to fulfil this, it is important to know how industry experts reason while making manufacturing reshoring decisions (RQ1), and how their reasoning can be modeled into decision-support tools (RQ2). Therefore, three studies were conducted including a multiple case study and two modeling studies. The multiple case study addressed the criteria that are considered by the industry experts in these decisions, while the two modeling studies, based on fuzzy logic and analytical hierarchy process (AHP), used a part of these criteria to develop decision-support tools. The findings indicate that a holistic set of criteria were considered by industry experts in arriving at a manufacturing reshoring decision. A large portion of these criteria occur within competitive priority category and among them, high importance is given to quality, while low importance to sustainability. Fuzzy logic modeling was used to model the criteria from the perspective of competitive priority at an overall level. Three fuzzy logic concepts were developed to capture industry experts’ reasoning and facilitate modeling of manufacturing reshoring decisions. Furthermore, two configurations and sixteen settings were developed, of which, the best ones were identified. AHP-based tools were used to capture experts’ reasoning of the competitive priority criteria by comparing the criteria. It was observed that fuzzy logic-based tools are able to better emulate industry experts’ reasoning of manufacturing reshoring. This research contributes to theory with a holistic framework of reshoring decision criteria, and to practice with decision-support tools for evaluation of manufacturing reshoring decisions.<br>Under de tre senaste decennierna har många företag flyttat sin produktion till lågkostnadsländer för att kunna utnyttja lägre lönekostnader. Många gånger har företagen genom denna åtgärd lyckats sänka sin tillverkningskostnad men samtidigt drabbats av oförutsedda problem kopplat till exempelvis produkt-kvalitet och möjligheten att kundanpassa produkter. Hanteringen av problemen har lett till ytterligare kostnader som många gånger överstigit besparingen i tillverkningskostnad. Detta har lett till att allt fler företag börjat flytta tillbaka sin produktion till hemlandet, så kallad reshoring. Reshoring är ett ungt område där det saknas forskning gällande bland annat hur den här typen av beslut på bästa sätt kan utvärderas och vilken typ av beslutstöd som kan underlätta den här typen av beslut. Därför är syftet med den här avhandlingen är att utveckla beslutsstödverktyg för utvärdering av reshoring beslut. För att uppfylla syftet har två forskningsfrågor formulerats. Den första frågan handlar om hur industriexperter resonerar kring reshoring beslut (RQ1) medan den andra frågan handlar om hur deras resonemang kan modelleras i beslutsstödverktyg (RQ2). Tre studier har genomförts för att besvara forskningsfrågorna, en fallstudie och två modelleringsstudier. Fallstudien fokuserar på att identifiera vilka kriterier som industriexperter beaktar medan modelleringsstudierna fokuserar på att utveckla beslutstödsverktyg där en del av dessa kriterier beaktas, med hjälp av fuzzy logic och analytical hierarchy process (AHP). Resultaten från forskningen visar att industriexperter bedömer reshoring beslut utifrån ett holistiskt perspektiv. En stor del av dessa beslutskriterier finns inom konkurrenskraft kategorin och inom dessa, har industriexperterna lagt högst vikt på kvalitet och lägst vikt på hållbarhet. Genom fuzzy logic modellering modellerades kriterierna på en övergripande nivå. Tre nya fuzzy logic koncept utvecklades för att fånga experternas resonemang. Dessutom utvecklades två konfigurationer med sexton olika inställningar, och de bästa identifierades. AHP-baserade verktyg utvecklades för att fånga experternas resonemang om kriterierna för konkurrenskraft prioriteringar. Fuzzy logic-baserade verktyg kan bättre fånga experternas resonemang kring reshoring beslut. Denna forskning bidrar till teori med en holistisk lista över beslutskriterier för reshoring beslut, och till praktik med beslutsstöd verktyg för utvärdering av reshoring beslut.
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Books on the topic "Decision making tools"

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Algie, Jimmy. Decision making and decision tools. Gyosei Institute of Management Studies, 1993.

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Zaraté, Pascale. Tools for Collaborative Decision-Making. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574690.

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Dale, Virginia H., and Mary R. English, eds. Tools to Aid Environmental Decision Making. Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1418-2.

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J, Weygandt Jerry, and Kieso Donald E, eds. Accounting: Tools for business decision making. 2nd ed. John Wiley & Sons, Inc., 2008.

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J, Weygandt Jerry, and Kieso Donald E, eds. Accounting: Tools for business decision making. 4th ed. Wiley Custom Learning Solutions, 2011.

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Kimmel, Paul D. Accounting: Tools for business decision making. 3rd ed. Wiley, 2009.

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LaRusso, Anthony C. Practical financial decision making: Essential tools. American Institute of Certified Public Accountants, 2011.

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Kimmel, Paul D. Accounting: Tools for business decision making. 4th ed. Wiley, 2011.

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H, Dale Virginia, and English Mary R, eds. Tools to aid environmental decision making. Springer, 1999.

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1948-, MacDonald Diane B., ed. Personal finance: Tools for decision making. South-Western College Pub., 1999.

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Book chapters on the topic "Decision making tools"

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Meade, James W. "Decision-Making Tools." In Aquaculture Management. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4615-6470-6_11.

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Zaraté, Pascale. "Cooperative Decision-Making." In Tools for Collaborative Decision-Making. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574690.ch4.

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Richard Schoenherr, Jordan, and Jodi Lis. "Ethical Decision-Making Tools." In Learning Engineering Toolkit. Routledge, 2022. http://dx.doi.org/10.4324/9781003276579-22.

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Krapivin, Vladimir F., Costas A. Varotsos, and Vladimir Yu Soldatov. "Environmental Decision-Making." In New Ecoinformatics Tools in Environmental Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13978-4_3.

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Felder, Stefan, and Thomas Mayrhofer. "Basic Tools in Medical Decision Making." In Medical Decision Making. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53432-8_2.

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Felder, Stefan, and Thomas Mayrhofer. "Basic Tools in Medical Decision Making." In Medical Decision Making. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18330-0_2.

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Felder, Stefan, and Thomas Mayrhofer. "Basic Tools in Medical Decision Making." In Medical Decision Making. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64654-0_2.

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Zaraté, Pascale. "New Decision-Making Processes." In Tools for Collaborative Decision-Making. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574690.ch2.

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Ammons, David N., and Dale J. Roenigk. "Cause-and-effect diagrams." In Tools for Decision Making, 3rd ed. Routledge, 2021. http://dx.doi.org/10.4324/9781003129431-30.

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Ammons, David N., and Dale J. Roenigk. "Sampling for analysis." In Tools for Decision Making, 3rd ed. Routledge, 2021. http://dx.doi.org/10.4324/9781003129431-7.

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Conference papers on the topic "Decision making tools"

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Tanasić, Nikola, and Rade Hajdin. "Resilience-based decision making for transportation infrastructure." In IABSE Congress, San José 2024: Beyond Structural Engineering in a Changing World. International Association for Bridge and Structural Engineering (IABSE), 2024. https://doi.org/10.2749/sanjose.2024.0498.

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&lt;p&gt;Transportation infrastructure is jeopardized by threats coming from natural hazards, which are likely to be more severe and frequent due to climate change. These threats need to be coped with the adequate measures, which are increasingly determined using a resilience-based approach. The resilience-based approach is similar to traditional risk-based approaches in asset management, which is broadened to consider a recovery phase after failure(s) in more detail. The topic has been treated both in research and practice, but so far the measure of resilience is not used as a core component in decision making. The paper deals with quantification of resilience and the potential for its application in practice of asset management. The main challenges are setting a value system and a system boundary in measuring benefit that comes from infrastructure. An example of resilience evaluation is given to present importance of development of decision support tools .&lt;/p&gt;
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Skyrius, Rimvydas. "Business Decision Making." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2368.

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Significant recent research in the decision support area has been concentrating on the human side of the person-technology relation. Knowledge, perceptions, beliefs and experiences have been researched in a number of works. The author has used individual interviews with business decision makers to find out their attitudes towards factors influencing the quality of business decisions. The issues discussed included features of actual right and wrong decisions, role of information sources and analytical tools, factors influencing creativity, and the role of information technology. The findings have shown that in the decision making process, available knowledge is used and new knowledge is created, and these processes are preferred to be supported by simple yet efficient support tools. The information environment surrounding business activities is getting increasingly complex. The important reasons for this complexity are: growing volumes of information of potential relevance to certain business activities; increasing number of sources of such information; and multiplying technologies for handling data and information. This is particularly true for decision making which has to encompass all relevant data, information and decision maker's knowledge to make quality decisions. Alongside with technologies for handling data and information, lately much attention has been given to knowledge management (KM) models and relations between data, information and knowledge. In knowledge-intensive activities, such as decision support, these relationships are important in terms of efficient utilisation of information resources, and especially those supported and facilitated by IT with its present capabilities. The aim of this paper is to take a look at the relations between data, information and knowledge in the context of managerial decision making, and professional learning and experience. These issues are discussed on the basis of surveys and interviews, conducted among small and medium enterprise (SME) decision makers in Lithuania in 1997-1999. The key questions of the survey have been: how important IT has become for management activities, regarding in the first place decision support, and how does it affect creativity and knowledge development. The synergy between technology and the user has been recognized to work in the areas such as using existing experiences and creating new ones on a problem and decision; working out the decision schema; stimulating creativity; capturing the details and specifics of the decision process for further uses. While IT is and can be efficiently used to manage data and information, the actual use of what is in decision support environment sometimes called stored knowledge - preprogrammed procedures for certain types of situations, sets of models, reusable queries - is rather limited. Instead, the survey has shown that decision makers prefer relatively simple tools and techniques that allow them to perform iterative buildup of decision support points towards a sufficient set to make a decision. Under a problem situation, existing practices are repeatedly tested. In the process, new associations and mental models may appear, expanding existing knowledge as well as creating new knowledge. The responses have shown that the presence of simple yet efficient decision support tools is welcome by the decision makers as having a potential to gain more with less - to provide more confidence and insurance from fatal decision mistakes, at the same time reducing the need to do extensive training, radically change existing beliefs or invest heavily into sophisticated technologies. In addition, such tools serve as support for managerial learning process and knowledge exchange, especially in the process of creativity stimulation where analogies, real-life and hypothetical situations, brainstorming and bias elimination techniques are used.
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Jensen, Carlos, and Colin Potts. "Privacy policies as decision-making tools." In the 2004 conference. ACM Press, 2004. http://dx.doi.org/10.1145/985692.985752.

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Stacey, Dawn, C. Laire Ludwig, Gail Macartney, Joy Tarasuk, Craig Kuziemsky, and Meg Carley. "256 Triage decision tools for cancer related symptoms." In 12th International Shared Decision Making Conference. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/bmjebm-2024-sdc.255.

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PENDRILL, LESLIE R., and HÅKAN KÄLLGREN. "DECISION-MAKING WITH UNCERTAINTY IN ATTRIBUTE SAMPLING." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774187_0021.

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O'Hagan, Nadja K., and Michael O'Hagan. "Decision-making with a fuzzy logic inference engine." In Optical Tools for Manufacturing and Advanced Automation, edited by Bruno Bosacchi and James C. Bezdek. SPIE, 1993. http://dx.doi.org/10.1117/12.165038.

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Diago, Ndeye Arame, Samir Aknine, Sarvapali Ramchurn, Onn Shehory, and Mbaye Sene. "Distributed Negotiation for Collective Decision-Making." In 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. http://dx.doi.org/10.1109/ictai.2017.00141.

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Schubbe, Danielle, Hannah Leavitt, Renata W. Yen, et al. "241 Comparing the acceptability and feasibility of methods for translating decision support tools." In 12th International Shared Decision Making Conference. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/bmjebm-2024-sdc.240.

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Guizzi, Guido, Teresa Murino, Stefania Santini, Manuela Tufo, and Elpidio Romano. "Integrating model to support decision making." In 2013 IEEE 12th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT). IEEE, 2013. http://dx.doi.org/10.1109/somet.2013.6645653.

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GIRÃO, PEDRO SILVA, JOSÉ DIAS PEREIRA, and OCTAVIAN POSTOLACHE. "MULTISENSOR DATA FUSION AND ITS APPLICATION TO DECISION MAKING." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812774187_0005.

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Reports on the topic "Decision making tools"

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McAllister, Therese, Christopher Clavin, Bruce Ellingwood, John van de Lindt, David Mizzen, and Francis Lavelle. Data, information, and tools needed for community resilience planning and decision-making. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.sp.1240.

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Nixon, Jonathan, Rembrandt Koppelaar, Sandy Robinson, and Heaven Crawley. Humanitarian energy interventions: the need and opportunities for systematic decision-making. Coventry University, 2021. http://dx.doi.org/10.18552/heed/2021/0001.

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This briefing paper highlights the potential benefits of humanitarian decision-making tools through the application of a decision support tool developed as part of the EPSRC-funded Humanitarian Engineering and Energy for Displacement (HEED) project led by Coventry University in partnership with Practical Action and Scene Connect. HEED draws upon social science and engineering expertise to better understand energy needs and identify solutions which produce socio-technical systems that encourage community resilience and capacity building.
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Cohen, Marvin, Rick Grannis, Elan Freedy, Amos Freedy, and Gershon Weltman. Full Spectrum Tools for Collecting, Analyzing, and Using Cultural Data in Decision Making. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada574141.

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Zio, Enrico, and Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, 2012. http://dx.doi.org/10.57071/155chr.

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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise. The document provides: a description of the risk assessment process, as used in hazardous industries such as nuclear power and offshore oil and gas extraction; a classification of sources of uncertainty (both epistemic and aleatory) and a description of techniques for uncertainty representation; a description of the different steps involved in a Probabilistic Risk Assessment (PRA) or Quantitative Risk Assessment (QRA), and an analysis of the types of uncertainty that can affect each of these steps; annexes giving an overview of a number of tools used during probabilistic risk assessment, including the HAZID technique, fault trees and event tree analysis.
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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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Lopez, Vanessa D., Benito F. Perez, Harold R. Harold R., and Melanie D. Johnson. Power Modeling Tools : Market Assessment. U.S. Army Engineer Research and Development Center, 2024. http://dx.doi.org/10.21079/11681/49468.

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This work was performed by the Energy—Power and Mechanical Systems Branch, US Army Construction Engineering Research Laboratory (CERL), Engineer Research and Development Center (ERDC).This technical note provides a survey and market assessment of power modeling tools to assist the Office of the Assistant Secretary of the Army (OASA), Installations, Energy, and Environment (IE&amp;E), with effective decision-making when considering the features, advantages, and disadvantages of the software tools available for power system modeling on a typical small, medium, or large Army installation. This summary information reviews the capabilities and features of commercial power system modeling software tools. Installations may use these tools to model their electrical distribution systems and assess the impacts of facility electrification, electric vehicle deployment, microgrid implementation, and other electrical system projects.
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Ingle, Aaron, Mithra Moezzi, Loren Lutzhenhiser, et al. Behavioral Perspectives on Home Energy Audits: The Role of Auditors, Labels, Reports, and Audit Tools on Homeowner Decision Making. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1174158.

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Kaymaz, Sidar, and Alaattin Diri. Use of Information Technology Tools in Source Selection Decision Making: A Study on USAF's KC-X Tanker Replacement Program. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada483198.

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Kanters, Jouri, and Martin Thebault. Opportunities for Improved Workflows and Development Needs of Solar Planning Tools. IEA SHC Task 63, 2024. http://dx.doi.org/10.18777/ieashc-task63-2024-0006.

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There has been a significant development of simulation tools capable of providing support in decision-making regarding solar neighborhoods. This report highlights opportunities for maximizing the use of tools for solar neighborhood planning by analyzing the current use of tools in the design process, the mapping of the solar potential and installed capacity, and by describing opportunities for an increase in use of tools.
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Christie, Lorna. Interpretable machine learning. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/pn633.

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Machine learning (ML, a type of artificial intelligence) is increasingly being used to support decision making in a variety of applications including recruitment and clinical diagnoses. While ML has many advantages, there are concerns that in some cases it may not be possible to explain completely how its outputs have been produced. This POSTnote gives an overview of ML and its role in decision-making. It examines the challenges of understanding how a complex ML system has reached its output, and some of the technical approaches to making ML easier to interpret. It also gives a brief overview of some of the proposed tools for making ML systems more accountable.
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