Abstract
A method of multi-attribute decision making under risk (MADMUR) based on third-generation prospect theory (PT3) is presented to solve the decision making problems by allowing reference points of each attribute to be uncertain. First, some important properties of PT3 are defined. Second, the adaptation of uncertain reference point is represented specifically. Then, the MADMUR method and its relevant computing steps are illustrated including all required definitions of MADMUR, an psychological inference procedure with relative value function and relative cumulative decision weighting function, and ranking and ordering decision alternatives etc. Finally, an illustrative example is given to show this decision making method in detail.
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Xiang, Y., Ma, L. (2015). Multi-attribute Decision Making Under Risk Based on Third-Generation Prospect Theory. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_43
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DOI: https://doi.org/10.1007/978-3-319-23862-3_43
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