Abstract
In this chapter, an overview to techniques and applications related to intelligent decision making is presented. The decision making process and elements of decision quality are discussed. A taxonomy of decision support systems is described. Techniques stemmed from artificial intelligence that are useful for designing and development intelligent decision support systems are explained. The application of intelligent decision support systems to a variety of domains is highlighted. A summary of concluding remarks is presented at the end of this chapter.
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References
Holsapple, C.W.: Decisions and Knowledge. In: Burstein, F., Holsapple, C.W. (eds.) Handbooks on Decision Support Systems 1: Basic Theme, pp. 21–54. Springer, Heidelberg (2008)
Keen, P.G.W.: Decision Support Systems: An Organizational Perspective. Addison-Wesley Pub. Co., Reading (1978)
González, J.R., Pelta, D.A., Masegosa, A.D.: A Framework for Developing Optimization-Based Decision Support Systems. Expert Systems with Applications 36, 4581–4588 (2009)
Michalewicz, Z., Schmidt, M., Michalewicz, M., Chiriac, C.: Case Study: An Intelligent Decision-Support System. IEEE Intelligent Systems 20, 44–49 (2005)
Guerlain, S., Brown, D.E., Mastrangelo, C.: Intelligent Decision Support Systems. In: Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, vol. 3, pp. 1934–1938 (2000)
Simon, H.: Administrative Behaviour, 4th edn. The Free Press (1997)
Borenstein, D.: Towards a Practical Method to Validate Decision Support Systems. Decision Support Systems 23, 227–239 (1998)
Martinson, M., Davidson, R., Tse, D.: The Balanced Scorecard: A Foundation for the Strategic Management of Information Systems. Decision Support Systems 25, 71–88 (1999)
Forgionne, G.A.: Decision-Making Support System Effectiveness: The Process to Outcome Link. Information Knowledge Systems Management 2, 169–188 (2000)
Phillips-Wren, G., Jain, L.C.: Recent Advances in Intelligent Decision Technologies. In: Apolloni, B., Howlett, R.J., Jain, L.C. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 567–571. Springer, Heidelberg (2008)
Creswell, D.C., McNamee, P.C.: Decision Support, Decision Quality, and Strategic Decisions. In: Tonfoni, G., Jain, L. (eds.) Advanced Knowledge International Innovations in Decision Support Systems. International Series on Advanced Intelligence, vol. 3, pp. 1–16 (2003)
Power, D.J.: Decision Support Systems: Concepts and Resources for Managers. Quorum Books, USA (2002)
Power, D.J.: Specifying an Expanded Framework for Classifying and Describing Decision Support Systems. Communications of the Association for Information Systems 13, 158–166 (2004)
McCulloch, W.S., Pitts, W.: A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943)
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning Internal Representation by Error Propagation. In: Rumelhart, D.E., McLelland, J.L. (eds.) Parallel distributed processing, vol. I, pp. 318–362. MIT Press, Cambridge (1986)
Broomhead, D.S., Lowe, D.: Multivariate Functional Interpolation and Adaptive Networks. Complex Systems 2, 321–355 (1988)
Kohonen, T.: Self-Organization and Associative Memory. Springer, Heidelberg (1984)
Carpenter, G.A., Grossberg, S.: A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine. Computer Vision, Graphics and Image Processing 37, 54–115 (1987)
Haykin, S.: Neural Networks: A Comprehensive Foundation. Macmillan, Basingstoke (1994)
Grossberg, S.: Adaptive Pattern Classification and Universal Recoding I: Parallel Development and Coding of Neural Feature Detectors. Biological Cybernetics 23, 121–134 (1976)
Grossberg, S.: Adaptive Pattern Classification and Universal Recoding II: Feedback, Expectation, Olfaction, Illusion. Biological Cybernetics 23, 187–202 (1976)
Grossberg, S.: How Does a Brain Build a Cognitive Code? Psychological Review 87, 1–51 (1980)
Carpenter, G.A., Grossberg, S.: ART 2: Stable Self-Organization of Pattern Recognition Codes for Analog Input Patterns. Applied Optics 26, 4919–4930 (1987)
Carpenter, G.A., Grossberg, S.: ART 3 Hierarchical Search: Chemical Transmitters in Self-Organizing Pattern Recognition Architectures. Neural Networks 3, 129–152 (1990)
Carpenter, G.A., Grossberg, S., Rosen, D.B.: Fuzzy ART: Fast Stable Learning and Categorization of Analog Patterns by An adaptive Resonance System. Neural Networks 4, 759–771 (1991)
Carpenter, G.A., Grossberg, S., Reynolds, J.H.: ARTMAP: Supervised Real-Time Learning and Classification of Nonstationary Data by a Self-Organizing Neural Network. Neural Networks 4, 565–588 (1991)
Carpenter, G.A., Grossberg, S., Markuzon, N., Reynolds, J.H., Rosen, D.B.: Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps. IEEE Transactions on Neural Networks 3, 698–712 (1992)
Fogel, L.J., Owens, A.J., Walsh, M.J.: Artificial Intelligence Through Simulated Evolution. John Wiley, Chichester (1966)
Rechenberg, I.: Evolutionary strategy. In: Zurada, J.M., Marks II, R.J., Robinson, C.J. (eds.) Computational Intelligence: Imitating Life, pp. 147–159. IEEE Press, Los Alamitos (1994)
Koza, J.R.: Genetic Programming. The MIT Press, Cambridge (1992)
Holland, J.H.: Escaping Brittleness: The Possibility of General-Purpose Learning Algorithms Applied to Parallel Rule-Based Systems. In: Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Machine Learning, vol. 2, pp. 593–624. Morgan Kaufmann, San Francisco (1986)
Holland, J.H.: Outline for a Logical Theory of Adaptive Systems. Journal of the ACM 3, 297–314 (1962)
Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)
Dumitrescu, D., Lazzerini, B., Jain, L.C., Dumitrescu, A.: Evolutionary Computation. CRC Press, Boca Raton (2000)
Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)
Jang, J.S.R., Sun, C.T., Mizutani, E.: Neural-Fuzzy and soft Computing. Prentice-Hall, Englewood Cliffs (1997)
Aamodt, E.P.: Case-Based Reasoning: Foundational Issues, Methodolgical Variations, and System Approaches. AI Communications 7, 39–59 (1994)
Chua, D.K.H., Li, D.Z., Chan, W.T.: Case-Based Reasoning Approach in Bid Decision Making. Journal of Construction Engineering and Management 127, 35–45 (2001)
Kolodner, J.: Improving Human Decision Making Through Case-Based Decision Aiding. AI Magazine 12, 52–68 (1991)
Balogh, Z., Laclavik, M., Hluchy, L.: Multi Agent System for Negotiation and Decision Support. In: Proceedings of the Fourth International Scientific Conference Electronic Computers and Informatics, pp. 264–270 (2000)
Poole, D., Mackworth, A., Goebel, R.: Computational Intelligence: A Logical Approach. Oxford University Press, Oxford (1998)
Hess, T.J., Rees, L.P., Rakes, T.R.: Using Autonomous Software Agents to Create Next Generation of Decision Support Systems. Decision Sciences 31, 1–31 (2000)
Ivancevic, V.G., Ivancevic, T.T.: Computational Mind: A Complex Dynamics Perspective. Springer, Heidelberg (2007)
Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison-Wesley, Reading (1999)
Dagli, C., Kilicay, N.: Understanding Behavior of System of Systems through Computational Intelligence Techniques. In: Proceedings of the First Annual IEEE Systems Conference, pp. 1–7 (2007)
Bratman, M.E.: Intention, Plans, and Practical Reason. Harvard University Press, Cambridge (1987)
Rao, A.S., Georgeff, M.P.: BDI Agents: From Theory to Practice. In: Proceedings of the First International Conference on Multiagent Systems, pp. 312–319 (1995)
Haider, K., Tweedale, J., Urlings, P., Jain, L.: Intelligent Decision Support System in Defense Maintenance Methodologies. In: Proceedings of the International Conference on Emerging Technologies, pp. 560–567 (2006)
Khashman, A.: A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients. IEEE Transactions on Neural Networks 19, 1896–1909 (2008)
Vigdor, B., Lerner, B.: The Bayesian ARTMAP. IEEE Transactions on Neural Networks 18, 1628–1644 (2007)
Hua, P.J.H., Wei, C.P., Cheng, T.H., Chen, J.X.: Predicting Adequacy of Vancomycin Regimens: A Learning-Based Classification Approach to Improving Clinical Decision Making. Decision Support Systems 43, 1226–1241 (2007)
Eom, J.H., Kim, S.K., Zhang, B.T.: AptaCDSS-E: A Classifier Ensemble-Based Clinical Decision Support System for Cardiovascular Disease Level Prediction. Expert Systems with Applications 34, 2465–2479 (2008)
Sun, Z.L., Choi, T.M., Au, K.F., Yu, Y.: Sales Forecasting Using Extreme Learning Machine with Applications in Fashion Retailing. Decision Support Systems 46, 411–419 (2008)
Siegfried, T., Bleuler, S., Laumanns, M., Zitzler, E., Kinzelbach, W.: Multiobjective Groundwater Management Using Evolutionary Algorithms. IEEE Transactions on Evolutionary Computation 13, 229–242 (2009)
Zachariadis, E.E., Tarantilis, C.D., Kiranoudis, C.T.: An Integrated Local Search Method for Inventory and Routing Decisions. Expert Systems with Applications 36, 10239–10248 (2009)
Wong, M.L., Guo, Y.Y.: Learning Bayesian Networks from Incomplete Databases Using a Novel Evolutionary Algorithm. Decision Support Systems 45, 368–383 (2008)
Agrawal, S., Panigrahi, B.K., Tiwari, M.K.: Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch. IEEE Transactions on Evolutionary Computation 12, 529–541 (2008)
Guo, M., Yang, J.B., Chin, K.S., Wang, H.W., Liu, X.B.: Evidential Reasoning Approach for Multiattribute Decision Analysis Under Both Fuzzy and Interval Uncertainty. IEEE Transactions on Fuzzy Systems 17, 683–697 (2009)
Ahn, B.S., Park, H.: An Efficient Pruning Method for Decision Alternatives of OWA Operators. IEEE Transactions on Fuzzy Systems 16, 1542–1549 (2008)
Zeng, X.J., Goulermas, J.Y., Liatsis, P., Wang, D., Keane, J.A.: Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application. IEEE Transactions on Fuzzy Systems 16, 1197–1215 (2008)
Cakir, O., Canbolat, M.S.: A Web-Based Decision Support System for Multi-Criteria Inventory Classification Using Fuzzy AHP Methodology. Expert Systems with Applications 35, 1367–1378 (2008)
Qi, J., Hu, J., Peng, Y.H., Wang, W., Zhang, Z.: A Case Retrieval Method Combined with Similarity Measurement and Multi-Criteria Decision Making for Concurrent Design. Expert Systems with Applications 36, 10357–10366 (2009)
Yang, H.L., Wang, C.S.: Recommender System for Software Project Planning One Application of Revised CBR Algorithm. Expert Systems with Applications 36, 8938–8945 (2009)
Kumar, K.A., Singh, Y., Sanyal, S.: Hybrid Approach Using Case-Based Reasoning and Rule-Based Reasoning for Domain Independent Clinical Decision Support in ICU. Expert Systems with Applications 36, 65–71 (2009)
Virkki-Hatakka, T., Reniers, G.L.L.: A Case-Based Reasoning Safety Decision-Support Tool: Nextcase/Safety. Expert Systems with Applications 36, 10374–10380 (2009)
Sueyoshi, T., Tadiparthi, G.R.: An Agent-Based Decision Support System for Wholesale Electricity Market. Decision Support Systems 44, 425–446 (2008)
Montano, B.R., Yoon, V., Drummey, K., Liebowitz, J.: Agent Learning in the Multi-Agent Contracting System [MACS]. Decision Support Systems 45, 140–149 (2008)
Sikora, R.T., Sachdev, V.: Learning Bidding Strategies with Autonomous Agents in Environments with Unstable Equilibrium. Decision Support Systems 46, 101–114 (2008)
Robbins, R.W., Wallace, W.A.: Decision Support for Ethical Problem Solving: A Multi-Agent Approach. Decision Support Systems 43, 1571–1587 (2007)
Pendharkar, P.C.: The Theory and Experiments of Designing Cooperative Intelligent Systems. Decision Support Systems 43, 1014–1030 (2007)
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Lim, C.P., Jain, L.C. (2010). Advances in Intelligent Decision Making. In: Jain, L.C., Lim, C.P. (eds) Handbook on Decision Making. Intelligent Systems Reference Library, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13639-9_1
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DOI: https://doi.org/10.1007/978-3-642-13639-9_1
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