Modeling Decision Making under Uncertainty and Vagueness
نویسندگان
چکیده
This paper discuss mainly issues related for modeling decision making under uncertain, vagueness, risky and imprecise information. There will be presented a description of five ordinal methods for modeling decision making under uncertainty in the context of linguistic data: Possibilistic Decisisonmaking, Revised Possibilistic Decisisonmaking, Commensurate L-Fuzzy Risk Minimization, Fuzzy relational Ordinal Risk Minimization, and Quadratic Ordinal Psychophysical Optimization. Finally, these five techniques are illustrated using a single example.
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