Probability and Fuzziness in Decision Making
نویسنده
چکیده
In the present paper we develop a stochastic (Markov chain) model for a mathematical description of the decision making (DM) process and we apply principles of fuzzy logic (FL) in representing the DM process in a fuzzy environment. Further, we develop an innovative approach for studying the step of verification of a chosen decision, which is based on principles of FL (a special form of the COG defuzzification technique) and we compare this approach with other traditional (statistical) approaches that can be applied for the same reason. Examples are also given to illustrate the use of our results in practice.
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