Title :
Fuzzy Methods for Constructing Multi-Criteria Decision Functions
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY
Abstract :
Summary form only given. Because of its ability to provide a bridge between linguistic expression and mathematical modeling fuzzy sets technology provides an idea 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 was paid to formulating multi-criteria functions from linguistically specified user requirements.
Keywords :
decision theory; fuzzy set theory; mathematical operators; operations research; aggregation operators; fuzzy set theory; linguistic expression; mathematical modeling; multicriteria decision functions; Bridges; Computational intelligence; Decision making; Educational institutions; Fuzzy set theory; Fuzzy sets; Machine intelligence; Mathematical model;
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0702-8
DOI :
10.1109/MCDM.2007.369440
