Abstract
Knowledge-Based Decision Support Systems (KBDSS) have evolved greatly over the last few decades. The key technologies underpinning the development of KBDSS can be classified into two categories: technologies for knowledge modelling and representation, and the technologies for reasoning and inference. This paper provides a review on the recent advances in the two types of technologies, as well as the main application domains of KBDSS. Based on the examination of literature, future research directions are recommended for the development of KBDSS in general and in particular to support group decision making.
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References
Sprague, R.H., Carlson, E.D.: Building effective decision support systems. Prentice-Hall, Englewood Cliffs (1982)
Marakas, G.M.: Decision Support Systems, 2nd edn. Prentice-Hall (2003)
Armengol, E.: Classification of melanomas in situ using knowledge discovery with explained case-based reasoning. Artificial Intelligence in Medicine 51, 93–105 (2011)
Wakulicz-Deja, A., Nowak-Brzezińska, A., Jach, T.: Inference processes in decision support systems with incomplete knowledge. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 616–625. Springer, Heidelberg (2011)
Yang, H., Li, W., Liu, K., Zhang, J.: Knowledge-based clinical pathway for medical quality improvement. Information Systems Front (2011), doi:10.1007/s10796-011-9307-z
Cortes, U., Sanchez-Marre, M., Sanguesa, R., Comas, J., Roda, I.R., Poch, M., Riano, D.: Knowledge management in environmental decision support systems. AI Communication 14, 3–12 (2001)
Minutolo, A., Esposito, M., De Pietro, G.: A pattern-based knowledge diting system for building clinical decision support systems. Knowledge-Based Systems 35, 120–131 (2012)
Riano, D., Real, F., Lopez-Vallverdu, J.A., Campana, F., Ercolani, S., Mecocci, P., Annicchiarico, R., Caltagirone, C.: An omntology-based personalisation of healthcare knowledge to support clinical decisions for chronically ill patients. Journal of Biomedical Informatics 45, 429–446 (2012)
Valls, A., Gibert, K., Sanchez, D., Batet, M.: Using ontologies for structuring organisational knowledge in home care assistance. International Journal of Medical Informatics 79, 370–387 (2010)
Montani, S.: How to use contextual knowledge in medical case-based reasoning systems: a survey on very recent trends. Artificial Intelligence in Medicine 51, 125–131 (2011)
Wang, W.M., Cheung, C.F.: A narrative-based reasoning with applications in decision support for social service organizations. Expert Systems with Applications 38, 3336–3345 (2011)
Cesario, E., Esposito, M.: A knowledge-based method for verifying the reliability of clinical DSSs. In: Proceedings of the 8th International Conference on Signal Image Technology and Internet Based Systems (2012)
Huang, H., Pasquier, M., Quek, C.: Decision support system based on hierarchical co-evolutionary fuzzy approach: a case study in detecting gamma ray signals. Expert Systems with Applications 38, 10719–10729 (2011)
Kong, G., Xu, D.L., Body, R., Yang, J.B., Mackway-Jones, K., Carley, S.: A belief rule-based decision support systems for clinical risk assessment. European Journal of Operational Research 219, 564–573 (2012)
Medlock, S., Opondo, D., Eslami, S., Askari, M., Wierenga, P., de Rooij, S.E., Abu-Hanna, A.: LERM (Logical Elements Rule Method): A method for assessing and formalizing clinical rules for decision support. International Journal of Medical Informatics 80, 286–295 (2011)
Zhang, R., Lu, J., Zhang, G.: A knowledge-based multi-role decision support system for ore blending cost optimisation of blast furnaces. European Journal of Operational Research 215, 195–203 (2011)
Bichindaritz, I., Montani, S.: Advances in case-based reasoning in health sciences. Artificial Intelligence in Medicine 51, 75–79 (2011)
Schipper, J.D., Dankel II, D.D., Arroyo, A.A., Schauben, J.L.: A knowledge-based clinical toxicology consultant for diagnosing single exposures. Artificial Intelligence in Medicine 55, 87–95 (2012)
Bindoff, I., Stanfford, A., Peterson, G., Kang, B.H., Tenni, P.: The potential for intelligent decision support systems to improve the quality and consistency for medication review. Journal of Pharmacy and Therapeutics 37, 452–458 (2012)
Harding, J.A., et al.: Data mining in manufacturing: a review. Journal of Manufacturing Science and Engineering –Transactions of the ASME 128(4), 969–976 (2006)
Aulinas, M., Nieves, J.C., Cortes, U., Poch, M.: Supporting decision making in urban wastewater systems using a knowledge-based approach. Environmental Modelling and Software 26, 562–572 (2011)
Brezillon, P., Brezillon, J., Pomerol, J.C.: Context-based methodology for decision making: application to car driving. International Journal of Decision Support Systems Technology 1(3), 1–20 (2009)
Easton, J.M., Davis, J.R., Roberts, C.: Ontology engineering: the “what’s”, “why’s” and “how’s” of data exchange. International Journal of Decision Support Systems Technology 3(1), 40–53 (2011)
Zarate, P.: Tools for Collaborative Decision Making. Wiley-ISTE (2013) ISBN: 978-1-84821-516-0
Liu, S., Moizer, J., Megicks, P., Kasturiratne, D., Jayawickrama, U.: A knowledge chain management framework for global supply chain integration decisions. Production Planning and Control (2013), doi:10.1080/09537287.2013.798084
Grundstein, M., Rosenthal-Sabroux, C., Pachuski, A.: Reinforcing decision aid by capitalizing on company’s knowledge: future prospects. European Journal of Operational Research 145(2), 256–272 (2003)
Shaqrah, A.A.: A typology of tacit knowledge sharing themes to fostering group decision support system. International Journal of Decision Support Systems Technology 2(3), 41–50 (2010)
Lindgren, H.: Knowledge artefacts as tools to communicate and develop knowledge in collaborative user-driven design. Proceedings CBMS (2012)
Liu, S., Duffy, A.H.B., Whitfield, R.I., Boyle, M.B.: Integration of decision support systems to improve decision support performance. Knowledge and Information Systems 22(1), 261–286 (2010)
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Liu, S., Zaraté, P. (2014). Knowledge Based Decision Support Systems: A Survey on Technologies and Application Domains. In: Zaraté, P., Kersten, G.E., Hernández, J.E. (eds) Group Decision and Negotiation. A Process-Oriented View. GDN 2014. Lecture Notes in Business Information Processing, vol 180. Springer, Cham. https://doi.org/10.1007/978-3-319-07179-4_7
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DOI: https://doi.org/10.1007/978-3-319-07179-4_7
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