Intelligent Decision System

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Intelligent Decision System, or IDS, is a software package for multiple criteria decision analysis. It can handle hybrid types of uncertainty, including probability uncertainty, missing data,[1] subjective judgements, interval data,[2] and any combination of those types of uncertainty.[3] It uses belief function[4] for problem modelling and the Evidential Reasoning Approach[5] for attribute aggregation. The outcomes of the analysis include not only ranking of alternative courses of action based on average scores, but also aggregated performance distribution of each alternative for supporting informed and transparent decision making.

References[edit]

  1. ^ Shafer, G.A. (1976). Mathematical Theory of Evidence. Princeton University Press. ISBN 0-691-08175-1. 
  2. ^ Xu D.L., Yang J.B., Wang Y.M. (2006). "The ER approach for multi-attribute decision analysis under interval uncertainties". European Journal of Operational Research 174 (3): 1914–43. doi:10.1016/j.ejor.2005.02.064. 
  3. ^ Yang J.B., Xu D.L. (2013). "Evidential Reasoning Rule for Evidence Combination". Artificial Intelligence 205: 1–29. doi:10.1016/j.artint.2013.09.003. 
  4. ^ Shafer, G.A. (1976). Mathematical Theory of Evidence. Princeton University Press. ISBN 0-691-08175-1. 
  5. ^ Yang J.B., Xu D.L. (2002). "On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty". IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans 32 (3): 289–304. doi:10.1109/TSMCA.2002.802746. 

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