Abstract
We present an integral approach to solving multiple criteria decision problems in sequences of intelligence, modeling, choice and review phases, often iterated, to identify the most preferred decision variant. The approach taken is human-centric, with the user taking the final decision being a sole and sovereign actor in the decision making process. To ensure generality, no assumption about the Decision Maker preferences or behavior is made. Likewise, no specific assumption about the underlying formal model is made.
The intended goal of the approach is to lower the cognitive barrier related to unsupported use of multicriteria methodologies in day-to-day practice. We present successful application of this approach to a number of practical problems.
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Kaliszewski, I., Miroforidis, J., Podkopaev, D. (2018). Multiple Criteria Decision Making and Multiobjective Optimization - A Toolbox. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications. IWIFSGN 2016. Advances in Intelligent Systems and Computing, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-65545-1_13
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DOI: https://doi.org/10.1007/978-3-319-65545-1_13
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