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Adaptation and Evolution of Decision Support Systems—A Typological Survey

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Part of the book series: Studies in Computational Intelligence ((SCI,volume 956))

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Abstract

There are many ways in which a literature survey can be done. One is to study the chronological order of development and another is to make a study of the developmental process itself. There is also a way of surveying the evolution in its different stages of growth with various adaptations made. This paper is an attempt to study the different stages of growth of the Decision Support Systems taking into consideration the different types based on its framework, its application, and its architecture. In each, a few models are evaluated to show the evolution of Decision Support Systems. Although there are many models of Decision Support Systems that have evolved with growth of technological advancements, a complete study of all the models is not the scope of the paper. Rather, the paper attempts to show that since the Decision Support Systems evolved with the adaptation of advancements in technological developments, the decision support system in the future will also evolve in the line of technological developments.

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References

  1. Bush, V.: As We May Think. The Atlantic, Atl (1945)

    Google Scholar 

  2. Power, D.: Decision support systems: from the past to the future. In: Americas Conference on Information Systems (AMCIS). pp. 2025–2031. AIS Electronic Library (AISeL), New York (2004)

    Google Scholar 

  3. Averweg, U.R.: Historical overview of decision support systems (DSS). In: Encyclopedia of Information Science and Technology, Second Edition. pp. 1753–1758. IGI Global (2009)

    Google Scholar 

  4. Turban, E., Aronson, J., Llang, T.: Decision Support Systems and Intelligent Systems. (2003)

    Google Scholar 

  5. Eom, H.B., Lee, S.M.: Decision support systems applications research: a bibliography (1971–1988). Eur. J. Oper. Res. (1990). https://doi.org/10.1016/0377-2217(90)90008-Y

    Article  MathSciNet  MATH  Google Scholar 

  6. Eom, S., Lee, S., Somarajan, C., Kim, E.: Decision support systems applications. OR Insight 10, 18–32 (1997). https://doi.org/10.1057/ori.1997.9

    Article  Google Scholar 

  7. Eom, S., Kim, E.: A survey of decision support system applications (1995–2001). J. Oper. Res. Soc. (2006). https://doi.org/10.1057/palgrave.jors.2602140

  8. Burstein, F., W. Holsapple, C., O’Leary, D.E.: Decision support system evolution: predicting, facilitating, and managing knowledge evolution. In: Handbook on Decision Support Systems, 2 (2008)

    Google Scholar 

  9. Arnott, D.: Decision support systems evolution: framework, case study and research agenda. Eur. J. Inf. Syst. 13, 247–259 (2004). https://doi.org/10.1057/palgrave.ejis.3000509

    Article  Google Scholar 

  10. Sauter, V.L., Schofer, J.L.: Evolutionary development of decision support systems: important issues for early phases of design. J. Manag. Inf. Syst. (1987). https://doi.org/10.1080/07421222.1988.11517809

    Article  Google Scholar 

  11. Burstein, F., Holsapple, W.C., Power, D.J.: Decision support systems: a historical overview. In: Handbook on Decision Support Systems, 1 (2008)

    Google Scholar 

  12. DeSanctis, G., Gallupe, B.: Group decision support systems: a new frontier. ACM SIGMIS Database 16, 3–10 (1984). https://doi.org/10.1145/1040688.1040689

    Article  Google Scholar 

  13. Gray, P.: Group decision support systems. Decis. Support Syst. 3, 233–242 (1987). https://doi.org/10.1016/0167-9236(87)90178-3

    Article  Google Scholar 

  14. Gao, S.: Mobile decision support systems research: a literature analysis. J. Decis. Syst. (2013). https://doi.org/10.1080/12460125.2012.760268

    Article  Google Scholar 

  15. Power, D.J.: Mobile decision support and business intelligence: an overview. J. Decis. Syst. (2013). https://doi.org/10.1080/12460125.2012.760267

    Article  Google Scholar 

  16. Bui, T., Jarke, M.: Communications requirements for group decision support systems. In: Proceedings of the Hawaii International Conference on System Science. pp. 524–533 (1986)

    Google Scholar 

  17. Bui, T.X., Bui, T.X.: Co-oP: A Group Decision Support System for Cooperative Multiple Criteria Group Decision Making. Springer (1987)

    Google Scholar 

  18. Power, D.J.: Understanding data-driven decision support systems. Inf. Syst. Manag. (2008). https://doi.org/10.1080/10580530801941124

    Article  Google Scholar 

  19. Watson, H.J., Wixom, B.H., Hoffer, J.A., Anderson-Lehman, R., Reynolds, A.M.: Real-Time business intelligence: Best practices at continental airlines. Inf. Syst. Manag. 23 (2006). https://doi.org/10.1201/1078.10580530/45769.23.1.20061201/91768.2

  20. Filip, F.G.: Decision support and control for large-scale complex systems. Annu. Rev. Control. (2008). https://doi.org/10.1016/j.arcontrol.2008.03.002

    Article  Google Scholar 

  21. Power, D.J.: Using ‘Big Data’ for analytics and decision support. J. Decis. Syst. (2014). https://doi.org/10.1080/12460125.2014.888848

    Article  Google Scholar 

  22. Provost, F., Fawcett, T.: Data science and its relationship to big data and data-driven decision making. Big Data. (2013). https://doi.org/10.1089/big.2013.1508

    Article  Google Scholar 

  23. Poleto, T., De Carvalho, V.D.H., Seixas Costa, A.P.C.: The roles of big data in the decision-support process: an empirical investigation. In: Lecturer Notes in Business Information Process (2015). https://doi.org/10.1007/978-3-319-18533-0_2

  24. Power, D.J., Sharda, R.: Model-driven decision support systems: concepts and research directions. Decis. Support Syst. (2007). https://doi.org/10.1016/j.dss.2005.05.030

    Article  Google Scholar 

  25. Konsynski, B.R.: Model management in decision support systems. In: Data Base Management: Theory and Applications, pp. 131–154. Springer Netherlands, Dordrecht (1983)

    Google Scholar 

  26. Blanning, R.W.: Model Management Systems. Decis. Support Syst. 9, 9–18 (1993). https://doi.org/10.1016/0167-9236(93)90019-Y

    Article  Google Scholar 

  27. Applegate, L.M., Konsynski, B.R., Nunamaker, J.F.: Model management systems: design for decision support. Decis. Support Syst. 2, 81–91 (1986). https://doi.org/10.1016/0167-9236(86)90124-7

    Article  Google Scholar 

  28. Bharadwaj, A., Choobineh, J., Lo, A., Shetty, B.: Model management systems: a survey. Ann. Oper. Res. 38, 17–67 (1992). https://doi.org/10.1007/BF02283650

    Article  Google Scholar 

  29. Elam, J.J., Henderson, J.C., Miller, L.W.: Model Management Systems: An Approach to Decision Support in Complex Organizations. Philadelphfa. PA 191 04 (1980)

    Google Scholar 

  30. Hamad, M.M., Qader, B.A.: Knowledge-driven decision support system based on knowledge warehouse and data mining for market management. Int. J. Appl. Innov. Eng. Manag. 3, 139–147 (2014)

    Google Scholar 

  31. Hosseinioun, P., Shakeri, H., Ghorbanirostam, G.: Knowledge-Driven decision support system based on knowledge warehouse and data mining by improving apriori algorithm with fuzzy logic. Int. J. Comput. Inf. Eng. 10, 528–533 (2016). https://doi.org/10.5281/zenodo.1339201

    Article  Google Scholar 

  32. Fedorowicz, J.: Task force on document-based decision support systems. In: Sprague, R.H.J., Watson, H.J. (eds.) Decision Support for Management, pp. 168–181. Prentice Hall, Upper Saddle River, New Jersey (1996)

    Google Scholar 

  33. Swanson, E.B., Culnan, M.J.: Document-based systems for management planning and control: a classification, survey, and assessment. MIS Q. 2 (1978). https://doi.org/10.2307/248903

  34. McCosh, A.M., Morton, M.S.S.: The fundamental character of decision support systems. In: Management Decision Support Systems, pp. 3–25. Palgrave Macmillan UK, London (1978)

    Google Scholar 

  35. Zhang, X.: The evolution of management information systems: a literature review. J. Integr. Des. Process Sci. 17 (2013). https://doi.org/10.3233/jid-2013-0009

  36. Dickson, G.W.: Management information systems: evolution and status. Adv. Comput. 20, 1–37 (1981)

    Google Scholar 

  37. Dickson, G.W.: Management information-decision systems: a new era ahead? Bus. Horiz. 11, 17–26 (1968). https://doi.org/10.1016/0007-6813(68)90004-9

    Article  Google Scholar 

  38. Jakšić, D., Pavkov, S., Poščić, P.: Business Intelligence Systems Yesterday, Today and Tomorrow—An Overview. Zb, Veleučilišta u Rijeci (2016)

    Google Scholar 

  39. Panian, Z.: The evolution of business intelligence: from historical data mining to mobile and location-based intelligence. Recent Res. Bus Econ. (2013)

    Google Scholar 

  40. Wright, A., Sittig, D.F.: A four-phase model of the evolution of clinical decision support architectures (2008)

    Google Scholar 

  41. McCallie, D.P.: Clinical decision support: history and basic concepts. In: Healthcare Information Management Systems: Cases, Strategies, and Solutions, 4t edn. (2015)

    Google Scholar 

  42. Yang, J., Kang, U., Lee, Y.: Clinical decision support system in medical knowledge literature review. Inf. Technol. Manag. 17 (2016). https://doi.org/10.1007/s10799-015-0216-6

  43. Kliskey, A.D.: The role and functionality of GIS as a planning tool in natural-resource management. Comput. Environ. Urban Syst. (1995). https://doi.org/10.1016/0198-9715(94)00029-8

    Article  Google Scholar 

  44. Kumbhar, V., Singh, T.: A systematic study of application of spatial decision support system in agriculture. Int. J. Sci. Eng. (2013)

    Google Scholar 

  45. Reddy, M.N., Rao, N.H.: GIS Based Decision Support Systems in Agriculture. Hyderabad, Telangana (1995)

    Google Scholar 

  46. Sreekanth, P.D., Kumar, K.V., Soamand, S.K., Srinivasarao, C.H.: Spatial decision support systems for smart farming using geo-spatial technologies. In: Patil, P.L., Dasog, G.S., Biradar, D.P., Patil, V.C., Aladakatti, Y.R. (eds.) National Conference on Application of Geo Spcial Technologies and IT in Smart Farming, pp. 118–122. University of Agricultural Science Darwad, Dharwad, Karnataka (2018)

    Google Scholar 

  47. Chen, T.E., Chen, L.P., Gao, Y., Wang, Y.: Spatial decision support system for precision farming based on GIS web service. In: Proceedings—2009 International Forum on Information Technology and Applications, IFITA 2009 (2009)

    Google Scholar 

  48. Paolo, R., Benno, K., Thorsten, Z., Barbara, K., Beate, T., Jeanette, J.: Decision support systems in agriculture: administration of meteorological data, use of geographic information systems (GIS) and validation methods in crop protection warning service. In: Efficient Decision Support Systems—Practice and Challenges from Current to Future (2011)

    Google Scholar 

  49. Korschgen, C., Knutson, M.: Natural resource assessment and decision support tools for bird conservation planning. In: Ralph, C. John; Rich, Terrell D. (eds.) Bird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference. 2002 Mar 20–24; Asilomar, California, volume 2, Gen. Tech. Rep. PSW-GTR-191. Albany, CA: US Dept. of Agriculture, Forest Service, Pacific Southwest Research Station, vol. 191, pp. 1213–1223 (2005)

    Google Scholar 

  50. Stock, M.W., Rauscher, H.M.: Artificial intelligence and decision support in natural resource management. New Zeal. J. Sci. 26 (1996)

    Google Scholar 

  51. Druzdzel, M.J., Flynn, R.R.: Decision support systems. In: McDonald, J.D., Levine-Clark, M. (eds.) Encyclopedia of Library and Information Sciences, p. 9. CRC Press (2017)

    Google Scholar 

  52. Fang, L., Hipel, K.W., Kilgour, D.M., Peng, X.: A decision support system for interactive decision making—Part I: Model formulation. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. (2003). https://doi.org/10.1109/TSMCC.2003.809361

  53. Hernandez, G., Seepersad, C.C., Allen, J.K., Mistree, F.: A method for interactive decision-making in collaborative. Int. J. Agil. Manuf. Syst. 5, 47–65 (2002)

    Google Scholar 

  54. Salo, A.A.: Interactive decision aiding for group decision support. Eur. J. Oper. Res. (1995). https://doi.org/10.1016/0377-2217(94)00322-4

    Article  MATH  Google Scholar 

  55. Teghem, J., Delhaye, C., Kunsch, P.L.: An interactive decision support system (IDSS) for multicriteria decision aid. Math. Comput. Model. 12 (1989). https://doi.org/10.1016/0895-7177(89)90370-1

  56. Angehrn, A.A., Lüthi, H.-J.: Intelligent decision support systems: a visual interactive approach. Interfaces (Providence) 20, 17–28 (1990). https://doi.org/10.1287/inte.20.6.17

    Article  Google Scholar 

  57. Yao, J.T.: An introduction to web-based support systems. J. Intell. Syst. 17 (2008). https://doi.org/10.1515/JISYS.2008.17.1-3.267

  58. Bayani, M.: Web-based decision support systems: a conceptual performance evaluation. In: 2013 IEEE 17th International Conference on Intelligent Engineering Systems (INES), pp. 21–26. IEEE (2013)

    Google Scholar 

  59. Boreisha, Y., Myronovych, O.: Web-based decision support systems as knowledge repositories for knowledge management systems. Ubiquitous Comput. Commun. J. 3, 22 (2008)

    Google Scholar 

  60. Chen, H., Zhang, X., Chi, T.: An architecture for web-based DSS. In: 6th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems (SEPADS’07), pp. 75–79. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA (2007)

    Google Scholar 

  61. Turban, E., Sharda, R., Delen, D.: Data Warehousing. In: Turban, E., Sharda, R., Delen, D. (eds.) Decision Support and Business Intelligence Systems, pp. 326–373. Prentice Hall, Upper Saddle River, New Jersey (2011)

    Google Scholar 

  62. Phillips-Wren, G.: AI tools in decision making support systems: a review. Int. J. Artif. Intell. Tools. 21, 1240005 (2012). https://doi.org/10.1142/S0218213012400052

    Article  Google Scholar 

  63. Guerlain, S., Brown, D.E., Mastrangelo, C.: Intelligent decision support systems. In: SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. “Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions” (Cat. No.00CH37166), pp. 1934–1938. IEEE

    Google Scholar 

  64. Kaklauskas, A.: Intelligent decision support systems. In: Biometric and Intelligent Decision Making Support, pp. 31–85. Springer International Publishing (2015)

    Google Scholar 

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Authors and Affiliations

  1. Sacred Heart College, Tirupattur, Tamil Nadu, 635601, India

    Ravi Lourdusamy & Xavierlal J. Mattam

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  1. Ravi Lourdusamy
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  2. Xavierlal J. Mattam
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Editors and Affiliations

  1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Vinit Kumar Gunjan

  2. Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Lourdusamy, R., Mattam, X.J. (2021). Adaptation and Evolution of Decision Support Systems—A Typological Survey. In: Gunjan, V.K., Zurada, J.M. (eds) Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Studies in Computational Intelligence, vol 956. Springer, Cham. https://doi.org/10.1007/978-3-030-68291-0_8

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