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Thematische Bibliographien / Decision-support approach

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Auswahl der wissenschaftlichen Literatur zum Thema „Decision-support approach“

Autor: Grafiati

Veröffentlicht am 21. Dezember 2024

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Zeitschriftenartikel zum Thema "Decision-support approach"

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Patel, Alpa R., und Dr Jayesh M. Patel. „Integrated approach of OLAP and Data Mining for Decision support“. International Journal of Scientific Research 2, Nr. 3 (01.06.2012): 81–82. http://dx.doi.org/10.15373/22778179/mar2013/27.

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El Fazziki, Abdelaziz, Abderrahmane Sadiq und Mohamed Sadgal. „An MDA based multi-agent approach for decision support systems development“. International Journal of Academic Research 6, Nr. 1 (30.01.2014): 221–31. http://dx.doi.org/10.7813/2075-4124.2014/6-1/a.29.

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3

Edwards, John S., Michel Klein und Leif B. Methlie. „Expert Systems: A Decision Support Approach.“ Journal of the Operational Research Society 42, Nr. 5 (Mai 1991): 424. http://dx.doi.org/10.2307/2583757.

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Edwards, John S. „Expert Systems: A Decision Support Approach.“ Journal of the Operational Research Society 42, Nr. 5 (Mai 1991): 424. http://dx.doi.org/10.1057/jors.1991.86.

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Ligȩza, Antoni. „Expert systems approach to decision support“. European Journal of Operational Research 37, Nr. 1 (Oktober 1988): 100–110. http://dx.doi.org/10.1016/0377-2217(88)90284-6.

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6

Peter Jennergren, L. „Expert systems: A decision support approach“. European Journal of Operational Research 48, Nr. 2 (September 1990): 285–86. http://dx.doi.org/10.1016/0377-2217(90)90386-p.

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Tontchev, Nikolay, und Zoran Čekerevac. „MULTICRITERIA DECISION SUPPORT - APPROACH AND APPLICATION IN THE FIELD OF MATERIALS SCIENCE“. MEST Journal 2, Nr. 1 (15.01.2014): 18–29. http://dx.doi.org/10.12709/mest.02.02.01.03.

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Yudin, V. N., und L. E. Karpov. „Hybrid approach to building decision support system“. Proceedings of the Institute for System Programming of RAS 24 (2013): 447–56. http://dx.doi.org/10.15514/ispras-2013-24-20.

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9

Goodwin, Paul. „A psychological approach to decision support systems“. International Journal of Forecasting 13, Nr. 1 (März 1997): 149–50. http://dx.doi.org/10.1016/s0169-2070(96)00722-4.

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Dekker, Andre. „Rapid Learning Approach for Decision Support Systems“. Physica Medica 28, Nr. 4 (Oktober 2012): 333. http://dx.doi.org/10.1016/j.ejmp.2012.06.009.

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Dissertationen zum Thema "Decision-support approach"

1

Ghasemzadeh, Fereidoun. „Project portfolio selection : a decision support approach /“. Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0003/NQ42738.pdf.

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Chamberlain, Matthew Kipp. „An Approach to Decision Support for Strategic Redesign“. Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19838.

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Researchers have paid relatively little attention to the fact that most design activities are actually more like redesign. These activities are characterized by an attempt to leverage experience, knowledge, and the capital that a company has already invested into existing engineering systems. In this dissertation, it is proposed that an approach be developed to aid designers in making decisions in redesign problems when there exist systems to be leveraged and multiple new systems to be created. In addition, strategy is introduced to the problem through the consideration that new systems may not be offered all at once, as is often assumed in product family design research. In this dissertation, the aim of the designer is assumed to be a creation, through redesign, of a series of new systems with desirable and distinct performance levels. In addition, a plan is required to involve as little redesign effort throughout the life of the family of systems as possible The proposed approach is based upon the concepts of Constructal Theory and previous work to create methods for the design of mass customized families of products. The existing methods are abstracted and heavily modified through the infusion of the compromise Decision Support Problems at all stages of the decision-making process. In addition, two indices are developed to represent considerations unique to redesign as opposed to original design. These indices for redesign effort and commonality value are utilized in the overall objective formulation for the approach. Through a thorough validation process and a large number of redesign scenarios, it is shown that the overall approach proposed can lead the designer towards promising redesign plans involving leveraging of existing systems, but that the constructal-inspired approach in and of itself has certain limitations when applied to redesign.

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Burd, Elizabeth L. „Reuse with risk management : a decision support approach“. Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247526.

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Osop, Hamzah Bin. „A practice-based evidence approach for clinical decision support“. Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123320/2/Hamzah%20Bin%20Osop%20Thesis.pdf.

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This thesis studies the conceptualisation and evaluation of a Practice-Based Evidence approach to decision making in healthcare. It examines the existing ICT architecture of a public hospital in Singapore to design a decision support system that leverages practical clinical evidence meaningfully captured in electronic health records. In doing so, healthcare professionals are supported in decision making through findings from past similar patients that can be generalised to the current patient population.

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Khan, Q. „A computer graphics approach to logistics strategy modelling“. Thesis, Cranfield University, 1990. http://dspace.lib.cranfield.ac.uk/handle/1826/4755.

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This thesis describes the development and application of a decision support system for logistics strategy modelling. The decision support system that is developed enables the modelling of logistics systems at a strategic level for any country or area in the world. The model runs on IBM PC or compatible computers under DOS (disk operating system). The decision support system uses colour graphics to represent the different physical functions of a logistics system. The graphics of the system is machine independent. The model displays on the screen the map of the area or country which is being considered for logistic planning. The decision support system is hybrid in term of algorithm. It employs optimisation for allocation. The customers are allocated by building a network path from customer to the source points taking into consideration all the production and throughput constraints on factories, distribution depots and transshipment points. The system uses computer graphic visually interactive heuristics to find the best possible location for distribution depots and transshipment points. In a one depot system it gives the optimum solution but where more than one depot is involved, the optimum solution is not guaranteed. The developed model is a cost-driven model. It represents all the logistics system costs in their proper form. Its solution very much depends on the relationship between all the costs. The locations of depots and transshipment points depend on the relationship between inbound and outbound transportation costs. The model has been validated on real world problems, some of which are described here. The advantages of such a decision support system for the formulation of a problem are discussed. Also discussed is the contribution of such an approach at the validation and solution presentation stages.

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Muya, Mundia. „A systematic approach for improving construction materials logistics“. Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/7076.

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In the 1990s, the UK construction industry directed considerable effort at improving productivity and reducing costs by harmonising relationships among clients, contractors, sub-contractors, specialist contractors and designers. Opportunities to accrue further benefits should be explored and capitalised upon from all areas of construction projects. Management of construction materials on well grounded logistics and supply chain management principles has the potential to yield results and augment efforts being made in other areas at making construction more efficient. The overall aim of this thesis was to develop a systematic supplier management decision-support process model that contractors can use for both short and long-term management of suppliers in the implementation of construction materials supply logistics. Such a process model would benefit construction companies by identifying essential elements that lead to improved supply of construction materials. The research findings were based upon a literature survey, two `minor-image' questionnaires (one sent to 71 UK contractors and the other to 76 UK construction materials suppliers); structured interviews with nine UK contractors and five UK construction materials suppliers; and a supplier management process model validation exercise with six UK contractors. From these, the research produced the following outcomes: systematic supplier management decision-support process map that contractors can use for short and long-term management of suppliers in the implementation of construction materials supply logistics; an understanding of the supply of construction materials into construction processes from the wider perspective of logistics and supply chain management as opposed to traditional materials management; the identification of the performance indicators against which the performance of suppliers can be evaluated and the quantification of the relative contribution of the performance indicators to improvements in customer service; the identification of factors which enable suppliers to improve levels of customer service and quantification of the relative extent to which the factors enable suppliers to contribute to improvements in their levels of customer service in the delivery of construction materials; identification of the extent to which both performance indicators and enablers were used in supplier evaluation and selection; evaluation and comparison of the extent to which contractors and suppliers used information and communication technologies in internal and external materials supply logistics processes; and evaluation of the nature of relationships between contractors and suppliers.

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Pedersen, Kim Ohme. „Explanation Methods in Clinical Decision Support : A Hybrid System Approach“. Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11833.

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The use of computer-based decision support systems within the field of health science has over the last decades been extensively researched and tested, both in controlled environments and in clinical practice. Despite the obvious benefits of utilizing such systems in the day-to-day activities, many of the designed systems fail to make the impact one could hope to achieve. We have designed and implemented a prototype of a decision support system which use both Case-Based Reasoning and probabilistic inference through a Bayesian Network as a basis for the solution. To achieve user acceptance an explanation module has been implemented which gives the user full access to the data which has been used in the reasoning process, both from the Case-Based Reasoning and the Bayesian Network. The system has shown promising results within the domain of wine recommendation, with a very high accuracy despite uncertain accuracy of the knowledge within the system. Furthermore the explanations presented to an expert conformed to the causal way of reasoning used by said expert, and was accepted as a very useful tool to get pointed in the right direction for evaluation of the solution.

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Nwiabu, Nuka D. „Situation awareness approach to context-aware case-based decision support“. Thesis, Robert Gordon University, 2012. http://hdl.handle.net/10059/791.

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Context-aware case-based decision support systems (CACBDSS) use the context of users as one of the features for similarity assessment to provide solutions to problems. The combination of a context-aware case-based reasoning (CBR) with general domain knowledge has been shown to improve similarity assessment, solving domain specific problems and problems of uncertain knowledge. Whilst these CBR approaches in context awareness address problems of incomplete data and domain specific problems, future problems that are situation-dependent cannot be anticipated due to lack of data by the CACBDSS to make predictions. Future problems can be predicted through situation awareness (SA), a psychological concept of knowing what is happening around you in order to know the future. The work conducted in this thesis explores the incorporation of SA to CACBDSS. It develops a framework to decouple the interface and underlying data model using an iterative research and design methodology. Two new approaches of using situation awareness to enhance CACBDSS are presented: (1) situation awareness as a problem identification component of CACBDSS (2) situation awareness for both problem identification and solving in CACBDSS. The first approach comprises of two distinct parts; SA, and CBR parts. The SA part understands the problem by using rules to interpret cues from the environment and users. The CBR part uses the knowledge from the SA part to provide solutions. The second approach is a fusion of the two technologies into a single case-based situation awareness (CBSA) model for situation awareness based on experience rather than rule, and problem solving predictions. The CBSA system perceives the users’ context and the environment and uses them to understand the current situation by retrieving similar past situations. The futures of new situations are predicted through knowledge of the history of similar past situations. Implementation of the two approaches in flow assurance control domain to predict the formation of hydrate shows improvements in both similarity assessment and problem solving predictions compared to CACBDSS without SA. Specifically, the second approach provides an improved decision support in scenarios where there are experienced situations. In the absence of experienced situations, the second approach offers more reliable solutions because of its rule-based capability. The adaptation of the user interface of the approaches to the current situation and the presentation of a reusable sequence of tasks in the situation reduces memory loads on operators. The integrated research-design methodology used in realising these approaches links theory and practice, thinking and doing, achieving practical as well as research objectives. The action research with practitioners provided the understanding of the domain activities, the social settings, resources, and goals of users. The user-centered design process ensures an understanding of the users. The agile development model ensures an iterative work, enables faster development of a functional prototype, which are more easily communicated and tested, thus giving better input for the next iteration.

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Lewis, Richard. „A semantic approach to railway data integration and decision support“. Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5959/.

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The work presented in this thesis was motivated by the desire of the railway industry to capitalise on new technology developments promising seamless integration of distributed data. This includes systems that generate, consume and transmit data for asset decision support. The primary aim of the research was to investigate the limitations of previous syntactic data integration exercises, creating a foundation for semantic system development. The objective was to create a modelling process enabling domain experts to provide the information concepts and semantic relationships between those concepts. The resulting model caters for the heterogeneity between systems supplying data that previous syntactic approaches failed to achieve and integrate data from multiple systems such that the context of data is not lost when centralised in a repository. The essence of this work is founded on two characteristics of distributed data management; the first is that current Web tools, like XML, are not effective for all aspects of technical interoperability because they do not capture the context of the data; and second, there is little relationship between conventional database management systems and the data structures that are utilised in Web based data exchange which means that a different set of architecture components are required.

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Voightmann, Michael P. (Michael Paul) 1979. „Generating quality software specifications for decision support : a novel approach“. Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17836.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
Includes bibliographical references (leaves 70-74).
An approach utilizing cognitive support tools is presented with the purpose of improving upon the generation of quality software requirement specifications. Based on successful tools in product development and cognitive engineering, the framework suggests how to improve upon user comprehension by the creation of decision support tools. These tools can facilitate the construction of a well-structured system map, incorporating key cognitive aspects, as well as identifying hidden requirements. Minimizing the requirements errors early in the process can have a tremendous impact on the success of the project. Current practices have been unable to improve upon the large failure rate of software systems. They generally lack the structure that cognitive support tools can provide. In order to assess the proposed approach, an overview of the current state of software requirements practice is provided. Key product development and cognitive support approaches were then analyzed. The proposed approach is described, followed by suggestions for future tools that could have a great impact on requirements engineering. Finally, the proposed approach is evaluated by applying it to an automotive application: adaptive cruise control.
by Michael P. Voightmann.
S.M.

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Bücher zum Thema "Decision-support approach"

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Azzabi, Lotfi, Dorra Azzabi und Abdessamad Kobi. The Multi-Criteria Approach for Decision Support. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57262-4.

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Holsapple, C. W. Decision support systems: A knowledge-based approach. Minneapolis/St. Paul: West Pub. Co., 1996.

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C, Burns Alvin, und Brobst Bob, Hrsg. Marketing simulation: A decision support system approach. 3. Aufl. New York, NY: HarperCollins, 1991.

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Piotr, Jankowski, Hrsg. Regional and urban GIS: A decision support approach. New York: Guilford Press, 2010.

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Nyerges, Timothy L. Regional and urban GIS: A decision support approach. New York: Guilford Press, 2010.

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Nyerges, Timothy L. Regional and urban GIS: A decision support approach. New York: Guilford Press, 2010.

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Nyerges, Timothy L. Regional and urban GIS: A decision support approach. New York: Guilford Press, 2010.

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Weitz, Rob R. Solving a multi-criteria allocation problem: A decision support system approach. Fontainebleau: INSEAD, 1991.

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Royer, Denis. Enterprise Identity Management: Towards an Investment Decision Support Approach. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Świątek, Jerzy. System analysis approach to the design, control and decision support. Herausgegeben von Politechnika Wrocławska. Wrocław: Wrocław University of Technology, 2010.

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Buchteile zum Thema "Decision-support approach"

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Słowiński, Roman, und Jerzy Stefanowski. „‘Roughdas’ and ‘Roughclass’ Software Implementations of the Rough Sets Approach“. In Intelligent Decision Support, 445–56. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7975-9_27.

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Svoray, Tal. „Spatial Decision Support Systems“. In A Geoinformatics Approach to Water Erosion, 305–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91536-0_8.

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Zaveri, Jigish S., und Ali F. Emdad. „Intelligent scheduling systems: an artificial-intelligence-based approach“. In Manufacturing Decision Support Systems, 204–16. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4613-1189-8_10.

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Krusińska, Ewa, Ankica Babic, Roman Słowiński und Jerzy Stefanowski. „Comparison of the Rough Sets Approach and Probabilistic Data Analysis Techniques on a Common Set of Medical Data“. In Intelligent Decision Support, 251–65. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7975-9_16.

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Błaszczyński, Jerzy, Salvatore Greco, Benedetto Matarazzo und Marcin Szel ąg. „Dominance-Based Rough Set Approach: Basic Ideas and Main Trends“. In Intelligent Decision Support Systems, 353–82. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96318-7_18.

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Holsapple, Clyde W., und Andrew B. Whinston. „The Environment Approach to Decision Support“. In Mathematical Models for Decision Support, 539–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83555-1_31.

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Gören, Hacer Güner, und Osman Kulak. „A New Fuzzy Multi-criteria Decision Making Approach: Extended Hierarchical Fuzzy Axiomatic Design Approach with Risk Factors“. In Decision Support Systems III - Impact of Decision Support Systems for Global Environments, 141–56. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_13.

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Last, M. T., und S. L. Corley. „A New Approach to Contract Specification“. In Computer Aided Decision Support in Telecommunications, 132–44. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0081-3_8.

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Armenia, Stefano, Georgios Tsaples und Camillo Carlini. „Critical Events and Critical Infrastructures: A System Dynamics Approach“. In Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support, 55–66. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90315-6_5.

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O’Sullivan, Dympna, Szymon Wilk, Martin Michalowski, Hugh O’Sullivan, Marc Carrier und Wojtek Michalowski. „An Approach to Combining Adherence-to-Therapy and Patient Preference Models for Evaluation of Therapies in Patient-Centered Care“. In Intelligent Decision Support Systems, 425–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96318-7_21.

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Konferenzberichte zum Thema "Decision-support approach"

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Fathi, Dariusz E., Audun Grimstad, Trond A. V. Johnsen, Matthias P. Nowak und Magnus Stalhane. „Integrated decision support approach for ship design“. In 2013 MTS/IEEE OCEANS. IEEE, 2013. http://dx.doi.org/10.1109/oceans-bergen.2013.6608103.

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Nada, Ayman, Mona Nasr und Marwa Salah. „Service oriented approach for decision support systems“. In 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2014. http://dx.doi.org/10.1109/itaic.2014.7065081.

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Han, Yehong. „A Novel Approach to Make Decision in Intelligent Decision Support systems“. In 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/amcce-17.2017.144.

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Chen, Ye, Keith W. Hipel und D. Marc Kilgour. „A decision rule aggregation approach to multiple criteria group decision support“. In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811673.

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Gribova, Valeriya, Philip Moskalenko, Elena Shalfeeva und Vadim Timchenko. „Ontological Approach to Viable Decision Support Services Development“. In 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aisr.k.201029.052.

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Bosse, Eloi, Anne-Laure Jousselme und Patrick Maupin. „Situation analysis for decision support: A formal approach“. In 2007 10th International Conference on Information Fusion. IEEE, 2007. http://dx.doi.org/10.1109/icif.2007.4408208.

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„A SERVICE-ORIENTED APPROACH TO EFFICIENT DECISION SUPPORT“. In 1st International Conference on Operations Research and Enterprise Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003759802150218.

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Penders, Ate, Ana Lucia Varbanescu, Gregor Pavlin und Henk Sips. „A Performance-centric Approach for Complex Decision Support“. In ICPE '17: ACM/SPEC International Conference on Performance Engineering. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3030207.3044532.

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Dytczak, Mirosław, und Grzegorz Ginda. „Systemic Approach for Historical Monuments Maintenance Decision Support“. In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2014. http://dx.doi.org/10.13033/isahp.y2014.164.

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Banerjee, Soumya, Nashwa El-Bendary, Aboul Ella Hassanien und M. F. Tolba. „Decision support system for customer churn reduction approach“. In 2013 13th International Conference on Hybrid Intelligent Systems (HIS). IEEE, 2013. http://dx.doi.org/10.1109/his.2013.6920487.

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Berichte der Organisationen zum Thema "Decision-support approach"

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Johnson, R. An object-oriented approach to site characterization decision support. Office of Scientific and Technical Information (OSTI), Juni 1995. http://dx.doi.org/10.2172/78721.

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Zhu, Qiuming. Nonmonotonic Extrapolation of Causal Relations for Knowledge-Based Decision Support Using a Bayesian Network Approach. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada409265.

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Kirkman, L. K., John K. Hiers A., L. L. Smith, L. M. Conner, S. L. Zeigler, M. Mack, J. R. Walters und R. J. Mitchell. Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach. Fort Belvoir, VA: Defense Technical Information Center, Juni 2015. http://dx.doi.org/10.21236/ada626412.

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Kirkman, L. K., John K. Hiers, A. Barnett, L. L. Smith, L. M. Conner, S. L. Zeigler, M. Mack, J. R. Walters und R. J. Mitchell. Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach. Fort Belvoir, VA: Defense Technical Information Center, Juni 2015. http://dx.doi.org/10.21236/ada626414.

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Ascough, II, James Clifford. A multiobjective decision support/numerical modeling approach for design and evaluation of shallow landfill burial systems. Office of Scientific and Technical Information (OSTI), Mai 1992. http://dx.doi.org/10.2172/10151178.

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Runion, Kyle, Brandon Boyd, Candice Piercy, Don Mroczko, Elizabeth Godsey, Herbert Bullock und Richard Allen. A beneficial placement decision support framework for wetlands : case study for Mobile Harbor, USA. Engineer Research and Development Center (U.S.), März 2024. http://dx.doi.org/10.21079/11681/48335.

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The US Army Corps of Engineers, in the responsibility of maintaining navigational infrastructure, has a unique opportunity to improve coastal wetland resiliency and conserve coastal natural infrastructure through the beneficial use of dredged material for wetland restoration. Opportunities are widespread, and tools such as biophysical models can aid coastal managers in assessing habitat vulnerability and planning restoration. In this study, the Marsh Equilibrium Model was utilized in concert with observed data to predict future conditions and evaluate potential effects of beneficial use of dredged material to restore marshes in Mobile Harbor, Alabama. A range of site conditions and two restoration strategies were considered, and the subsequent impact to dredged material management area volumes evaluated. Results showed that wetland restoration via the thin-layer placement of dredged material can restore marsh elevation to combat sea level rise and conserve fill capacity at dredged material management areas. This approach is demonstrated for adoption nationwide by coastal managers.

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Seale, Maria, Natàlia Garcia-Reyero, R. Salter und Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), Juli 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.

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Gelain, Paolo, und Pierlauro Lopez. A DSGE Model Including Trend Information and Regime Switching at the ZLB. Federal Reserve Bank of Cleveland, Dezember 2023. http://dx.doi.org/10.26509/frbc-wp-202335.

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This paper outlines the dynamic stochastic general equilibrium (DSGE) model developed at the Federal Reserve Bank of Cleveland as part of the suite of models used for forecasting and policy analysis by Cleveland Fed researchers, which we have nicknamed CLEMENTINE (CLeveland Equilibrium ModEl iNcluding Trend INformation and the Effective lower bound). This document adopts a practitioner's guide approach, detailing the construction of the model and offering practical guidance on its use as a policy tool designed to support decision-making through forecasting exercises and policy counterfactuals.

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Howard, Adam, Jang Pak, David May, Stanford Gibson, Chris Haring, Brian Alberto und Michael Haring. Approaches for assessing riverine scour. Engineer Research and Development Center (U.S.), Mai 2021. http://dx.doi.org/10.21079/11681/40702.

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Calculating scour potential in a stream or river is as much a geomorphological art as it is an exact science. The complexity of stream hydraulics and heterogeneity of river-bed materials makes scour predictions in natural channels uncertain. Uncertain scour depths near high-hazard flood-risk zones and flood-risk management structures lead to over-designed projects and difficult flood-risk management decisions. This Regional Sediment Management technical report presents an approach for estimating scour by providing a decision framework that future practitioners can use to compute scour potential within a riverine environment. This methodology was developed through a partnership with the US Army Engineer Research and Development Center, Hydrologic Engineering Center, and St. Paul District in support of the Lower American River Contract 3 project in Sacramento, CA.

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Gorman, Clare, Lucy Halton und Kushum Sharma. Advocating for Change in Nepal’s Adult Entertainment Sector. Institute of Development Studies (IDS), Juli 2021. http://dx.doi.org/10.19088/clarissa.2021.010.

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The United Nations Human Rights Council has a powerful role to play in addressing the worst forms of child labour. Accountability mechanisms such as the Universal Periodic Review (UPR) – which work to support Member States to improve their human rights situation – are therefore widely seen as important opportunities to advocate for change. Ahead of Nepal’s third UPR cycle in 2021, the CLARISSA programme met with eight UN Permanent Missions to present recommendations addressing the exploitation of children within Nepal’s adult entertainment sector. This spotlight story shares the programme’s experience in advocacting within this process. It also highlights their approach of providing decision makers with recommendations to the Government of Nepal that were underpinned by the importance of integrating a participatory, adaptive and child-centred approach.

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