Relevant bibliographies by topics / Design Decision Support System

Contents

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

Academic literature on the topic 'Design Decision Support System'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Design Decision Support System"

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Saha, G. K., and Sandeep Kumar. "Clinical Decision Support System Design Issues." International Journal of Applied Research on Information Technology and Computing 4, no. 1 (2013): 42. http://dx.doi.org/10.5958/j.0975-8089.4.1.004.

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Sun, Xiaoqian, Volker Gollnick, Yongchang Li, and Eike Stumpf. "Intelligent Multicriteria Decision Support System for Systems Design." Journal of Aircraft 51, no. 1 (January 2014): 216–25. http://dx.doi.org/10.2514/1.c032296.

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Barnett, Barbara J. "Perspectives on Decision Analysis for Decision Support System Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 16 (October 1993): 1101. http://dx.doi.org/10.1177/154193129303701613.

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This symposium addresses the characterization of human decision making within a complex environment for the purpose of developing improved decision support systems. All of the work presented in this symposium was conducted under a Navy research program entitled “Tactical Decision Making Under Stress” (TADMUS). The overall objective of the TADMUS program is to improve tactical decision making of anti-air warfare (AAW) crew members within the Aegis cruiser's combat information center (CIC) under conditions of stress and uncertainty. The unique aspect of this effort is that each presentation addresses decision making behavior, within a single domain, from a different perspective. The goal of each effort is to characterize some aspect of expert decision making performance within the AAW task environment, and to make recommendations for the resulting decision support system design based upon these characterizations. The result is a multi-faceted, human-centered approach to information organization and interface display design for a decision support system.
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Peng, Guang Yu. "Marketing Decision and Decision Support System Design Based on Web." Advanced Materials Research 850-851 (December 2013): 1048–51. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1048.

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This paper analyzes the DSS characteristics about the marketing under the internet as well as the influencing factors of the market decisions, Studying the decision-making functions of marketing decision support system DSS. It proposed the marketing DSS design, logical structure and its implementation based on a data warehouse as the center, online analysis processing and data mining as a means.
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Gonçalves, José M., and Luis S. Pereira. "Decision Support System for Surface Irrigation Design." Journal of Irrigation and Drainage Engineering 135, no. 3 (June 2009): 343–56. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000004.

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ALY, A. A., and M. SUBRAMANIAM. "Design of an FMS decision support system." International Journal of Production Research 31, no. 10 (October 1993): 2257–73. http://dx.doi.org/10.1080/00207549308956856.

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Li, Ni, Runxiang Tan, Zhanpeng Huang, Chao Tian, and Guanghong Gong. "Agile Decision Support System for Aircraft Design." Journal of Aerospace Engineering 29, no. 2 (March 2016): 04015044. http://dx.doi.org/10.1061/(asce)as.1943-5525.0000514.

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Ho, J. K. K., and D. Sculli. "System complexity and the design of decision support systems." Systems Practice 8, no. 5 (October 1995): 505–16. http://dx.doi.org/10.1007/bf02281958.

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Jarupathirun, Suprasith, and Fatemeh “Mariam” Zahedi. "Dialectic decision support systems: System design and empirical evaluation." Decision Support Systems 43, no. 4 (August 2007): 1553–70. http://dx.doi.org/10.1016/j.dss.2006.03.002.

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Khatun, Madhury, and Shah J. Miah. "Design Methods for Decision Support Systems." International Journal of Business Intelligence Research 9, no. 1 (January 2018): 38–52. http://dx.doi.org/10.4018/ijbir.2018010103.

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This article reviews methods to the development of a decision support system (DSS) solution for small business owners/managers. The main objective of designing the DSS artefact is to support the strategic decision-making for achieving competitive advantages in the business-to-consumer (B2C) e-commerce environment. Many researchers in the DSS domain utilised various methods to design of information systems (IS) artefact, mostly intended for large businesses. Researchers have paid much attention to the business environment as a knowledge source for DSS design and development for the small business strategic decision support needs. User-centred design (UCD) principles were adopted for DSS development. Prior a novel DSS development, multiple case studies were carried out for understanding the user needs and system requirements. Also, knowledge was sourced from the external business environment via the analysis of small business website features against their overseas competitors. The findings suggested developing a DSS solution for small business needs.
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Dissertations / Theses on the topic "Design Decision Support System"

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Law, Gordon Ki-Wai. "Decision support system for construction cycle design." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26715.

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The objective of this thesis is to develop a conceptual design of a computerized environment for detailed design of construction activities associated with projects characterized by significant repetition. High-rise building construction is used as the example of repetitive construction projects. The construction cycle design of a typical floor structure is studied to gain an understanding of the difficulty and complexity involved in the activity design process. Modeling techniques currently used in construction planning, modeling techniques developed in the field of operations research, and assembly line balancing techniques used in industrial engineering are reviewed to determine their applicability for detailed construction cycle design. Using the concept of decision support systems developed in the fields of management science and knowledge engineering for solving ill-structured and ill-defined problems, a conceptual design of a decision support system for construction cycle design is developed.
Applied Science, Faculty of
Civil Engineering, Department of
Graduate
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Borenstein, Denis. "Integrated decision support system for flexible manufacturing system design." Thesis, University of Strathclyde, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301861.

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Clarke, Michael P. "A decision support system for strip mine design." Thesis, University of Nottingham, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279918.

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Huang, Xin 1958. "An integrated decision support system for backfill design." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41614.

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Backfill design is a multi-level, data/information/expertise intensive procedure involving various professional fields. During the life cycle of mining design and operation, a series of decisions are made based on the knowledge and personal experience. The success of mining design depends largely on knowledge available, and how knowledge is managed and processed. This thesis presents a conceptual backfill design rationale in a systematic approach in terms of basic information needs and data flow. Based on this representation, an integrated decision support system for backfill design is introduced. The underlying system is based on the integration of traditional databases, expert systems, hypermedia, and logical programming concepts consisting of the following components: (1) user interface, which creates the model of tasks and the application environment; (2) hypermedia-based reference manual, which supports non-linear access to backfill design reference manual of various formats; (3) expert systems which solve certain tasks based on heuristic rules; and finally, (4) knowledge base management system which provides an efficient approach to manage and manipulate massive data of previous backfill operations. The integration of these components is achieved through a blackboard architecture. The early test of the prototype system shows that the basic objectives have been achieved to provide fast information access and certain decision makings.
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Tarnoff, David Lee. "A decision support tool for preliminary system design." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10312009-020108/.

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Srinivasan, Rajesh 1972. "Architecture design of a collaborative decision support system." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86770.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2001.
Includes bibliographical references (p. 87-88).
by Rajesh Srinivasan.
S.M.
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Türkmen, Bekir Sitki. "A multi-agent systems based conceptual ship design decision support system." Thesis, University of Strathclyde, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424358.

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Tan, Kian Guan. "A decision support system framework for 'design for safety'." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299645.

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Sarshar, Marjan. "A prototype decision support system for Perturbation Analysis of Flexible Manufacturing Systems." Thesis, University of Manchester, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329755.

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Kamjoo, Azadeh. "A decision support system for integrated design of hybrid renewable energy system." Thesis, Northumbria University, 2015. http://nrl.northumbria.ac.uk/27224/.

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While large-scale wind farms and solar power stations have been used widely as supplement to the nuclear, fossil fuels, hydro and geothermal power generation, at smaller scales these resources are not reliable to be used independently and may result in load rejection or an over size design which is not cost effective. A possible solution to solve this issue is using them as part of a hybrid power system. Complexity in design and analysis of hybrid renewable energy systems (HRES) has attracted the attention of many researchers to find better solutions by using various optimisation methods. Majority of the reported researches on optimal sizing of HRES in the literature are either only considering one objective to the optimisation problem or if more than one objective is considered the effect of uncertainties are ignored. This dissertation work investigates deterministic and stochastic approach in design of HRES. In deterministic approach it shows how adding a battery bank to a grid connected HRES might result in more cost effective design depending on different grid electricity prices. This work also investigates the reliability of HRES designed by conventional deterministic design approach and shows the weakness of common reliability analysis. To perform the stochastic approach the renewable resources variation are modelled using time series analysis and statistical analysis of their available historical meteorological data and the results are compared in this work. Chance constrained programming (CCP) approach is used to design a standalone HRES and it is shown that the common CCP approach which solves the problem based on the assumption on the joint distribution of the uncertain variables limits the design space of problem. This work then proposes a new method to solve CCP to improve the size of design space. This dissertation comprises multi-objective optimisation method based on Non-dominated Sorting Genetic Algorithm (NSGA-II) with an innovative method to use CCP as a tool in estimating the expected value of the objective function instead of Monte-Carlo simulation to decrease the computational time.
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Books on the topic "Design Decision Support System"

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Sen, Pratyush. Multiple Criteria Decision Support in Engineering Design. London: Springer London, 1998.

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Using ORACLE to build decision support systems. Wellesley, Mass: QED Information Sciences, 1990.

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

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Timmermans, Harry, ed. Design and Decision Support Systems in Architecture. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-1229-3.

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Sillince, John A. A. Top level design for argumentation-based group decision-support system. Sheffield: Sheffield University, School of Management, 1995.

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Ip, Yiu Lam. Design a decision support system for personal financial advisory function. [s.l: The Author], 1992.

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Barua, S. K. Decision support system for design and evaluation of pipeline projects. Ahmedabad: Indian Institute of Management, 2006.

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Tettelbach, Clayton G. Recycling Decision Support System: Design and development of a Web-based DSS. Monterey, Calif: Naval Postgraduate School, 1997.

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1961-, Yang Jian-Bo, ed. Multiple criteria decision support in engineering design. London: Springer, 1998.

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Focus, Symposium on Advances in Collaborative Decision-Support Systems for Design Planning and Execution (1998 Baden-Baden Germany). Pre-conference proceedings of the Focus Symposium [on] Advances in Collaborative Decision-Support Systems for Design, Planning, and Execution: Tuesday, August 18th, 1998. [San Luis Obispo, CA, USA?]: [CAD Research Center, Architecture Dept., CAED, Cal Poly [sic]?], 1998.

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Book chapters on the topic "Design Decision Support System"

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Tillmann, George. "The Big Data Decision Support System." In Usage-Driven Database Design, 301–14. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2722-0_15.

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Otero, César, and Pierpaolo Valentini. "Decision Support System in Product Engineering." In Research in Interactive Design (Vol. 4), 221–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26121-8_13.

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Otero, César, and Pierpaolo Valentini. "Decision Support System in Product Engineering." In Research in Interactive Design (Vol. 4), 27–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26121-8_4.

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Chen, Wei, Christopher Hoyle, and Henk Jan Wassenaar. "Hierarchical Choice Modeling to Support Complex Systems Design." In Decision-Based Design, 205–33. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4036-8_8.

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Sen, Pratyush, and Jian-Bo Yang. "An Integrated Multiple Criteria Decision Support System." In Multiple Criteria Decision Support in Engineering Design, 211–41. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-3020-8_6.

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Carlsson, S. A., and D. E. Leidner. "Contextual design of management support systems." In Context Sensitive Decision Support Systems, 88–105. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35356-2_6.

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Moore, C. J., and J. C. Miles. "Integrated Innovative Computer Systems for Decision Support in Bridge Design." In AI System Support for Conceptual Design, 227–40. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1475-8_14.

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Pullen, W. R., C. L. G. Wassenaar, I. Van Hettema, J. Toonen Dekkers, I. Janszen, C. G. E. Boender, A. Tas, and H. Stegeman. "A Decision Support System for Housing of (Public) Organizations." In Design and Decision Support Systems in Architecture, 39–47. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-1229-3_4.

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Thum, Frederick, Min Soon Kim, Nicholas Genes, Laura Rivera, Rosemary Beato, Jared Soriano, Joseph Kannry, Kevin Baumlin, and Ula Hwang. "Usability Improvement of a Clinical Decision Support System." In Design, User Experience, and Usability. User Experience Design for Everyday Life Applications and Services, 125–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07635-5_13.

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Hsiao, Yung-chin, and Junzo Watada. "Shape Design of Products Based on a Decision Support System." In Handbook on Decision Making, 55–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13639-9_3.

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Conference papers on the topic "Design Decision Support System"

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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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Tianmin, Cheng. "Design of enterprise decision support system." In the 3rd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3361785.3364314.

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Carvalho, Gustavo, Adriana S. Vivacqua, Jano M. Souza, and Sergio Palma J. Medeiros. "LaSca: A large scale group decision support system." In in Design (CSCWD). IEEE, 2008. http://dx.doi.org/10.1109/cscwd.2008.4536996.

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Sutinen, Martti, Mats Danielson, Love Ekenberg, and Aron Larsson. "Web-based analytical decision support system." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687202.

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Almutairi, Mohammed, Anutaj Chahal, James Fritz, and Luis Soto. "Residential wind turbine design Decision Support System." In 2017 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2017. http://dx.doi.org/10.1109/sieds.2017.7937740.

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Liu, Jihong, and Zhaoyang Sun. "Consistency Maintenance in Design Decision Support System." In 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.2748.

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Yinghan, Fang, and Bao Lina. "The Design of Emergency Decision Support System." In 2012 International Conference on Industrial Control and Electronics Engineering (ICICEE). IEEE, 2012. http://dx.doi.org/10.1109/icicee.2012.310.

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Capilla, Rafael, Francisco Nava, Jesus Montes, and Carlos Carrillo. "ADDSS: Architecture Design Decision Support System Tool." In 2008 23rd IEEE/ACM International Conference on Automated Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/ase.2008.84.

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Boukhayma, Khaoula, and Abdellah ElManouar. "Evaluating decision support systems." In 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2015. http://dx.doi.org/10.1109/isda.2015.7489263.

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Chen, Yen-Chen, Wen-Dar Lin, Yun-Ching Chen, and Jan-Ming Ho. "In Search of Microarray Design Decision Support System." In Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icicic.2007.351.

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Reports on the topic "Design Decision Support System"

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Stone, J. J., G. Paige, T. E. Hakonson, and L. J. Lane. Design document for landfill capping Prototype Decision Support System. Draft 1.0. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10132805.

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Strand, R., T. L. Cox, A. Sjoreen, and D. Alvic. The external design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research). Office of Scientific and Technical Information (OSTI), May 1989. http://dx.doi.org/10.2172/5688000.

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Strand, R., T. L. Cox, A. Sjoreen, and D. Alvic. The internal design phase of the breeding and multigeneration support system: A tracking and decision support system for NCTR (National Center for Toxicological Research). Office of Scientific and Technical Information (OSTI), June 1989. http://dx.doi.org/10.2172/5805389.

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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), May 1992. http://dx.doi.org/10.2172/10151178.

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Perdigão, Rui A. P. Information Physical Artificial Intelligence in Complex System Dynamics: Breaking Frontiers in Nonlinear Analytics, Model Design and Socio-Environmental Decision Support in a Coevolutionary World. Meteoceanics, September 2020. http://dx.doi.org/10.46337/200930.

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Bjella, Kevin, Yuri Shur, Misha Kanevskiy, Paul Duvoy, Bruno Grunau, John Best, Stephen Bourne, and Rosa Affleck. Improving design methodologies and assessment tools for building on permafrost in a warming climate. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38879.

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The U.S. Department of Defense (DoD) operates numerous Arctic and Subarctic installations, including Alaska. Changes to permafrost can threaten critical built infrastructure. It is critical to accurately characterize and compare site conditions in permafrost regions to enable the efficient, cost-effective design and construction of an infrastructure well suited to the permafrost environment and that meets DoD requirements. This report describes three research efforts to establish (1) field investigation approaches for ground ice detection and delineation, (2) methods and modeling for early warning detection of thawing permafrost under infrastructure, and (3) an outline of a decision support system that determines the most applicable foundation design for warming and degrading permafrost. Outcomes of these interrelated efforts address needs to improve construction of DoD mission critical infrastructure on Arctic and Subarctic permafrost terrains. Field investigation processes used systematic methodologies including borehole data and geophysical measurements to effectively characterize subsurface permafrost information. The Permafrost Foundation Decision Support System (PFFDSS) tool implements and logically links field survey information and foundation type assessments. The current version of PFFDSS is designed to be accessible to design-engineers of a broad range of experience, that will reduce the effort and cost, and improve the effectiveness of site assessment.
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Luqi. System Engineering and Evolution Decision Support. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada395539.

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Luqi. System Engineering and Evolution Decision Support. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada384684.

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Meador, Christopher. Burn Resuscitation Decision Support System (BRDSS). Fort Belvoir, VA: Defense Technical Information Center, November 2014. http://dx.doi.org/10.21236/ada608762.

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Heacox, N. J., M. L. Quinn, R. T. Kelly, J. W. Gwynne, and R. J. Smille. Decision Support System for Coalition Operations. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada406338.

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