Session 3. Ronald R Yager: Fuzzy sets methods for constructing multi-criteria decision functions
Title: Fuzzy sets methods for constructing multi-criteria decision functions: Mixing words and mathematics
Abstract: The multiplicity of objectives in most cases of human decision-making requires that we use multi-criteria decision functions in many tasks. This is particularly true in tasks involving large-scale systems. Central to the construction of multi-criteria decision functions is the modeling of the appropriate relationship between the individual component criteria involved in the decision function. In many situations human beings are able to linguistically express the appropriate relationship between the component criteria. Because of its ability to provide a bridge between linguistic expression and mathematical modeling, fuzzy sets technology provides an ideal framework for the construction of multi-criteria decision functions. In this talk we shall describe a number of aggregation operators associated with fuzzy set theory and see how they can be used to formulate multi-criteria decision functions. Particular attention will be paid to formulating multi-criteria functions from linguistically specified user requirements.
MORE INFORMATION:
https://sa2015.iiasa.ac.at/