IEEE Member-only icon Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016 Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016

Fuzzy and Soft Methods for Multi-Criteria Decision Making - Ronald R Yager - WCCI 2016

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#fuzzy and soft methods #multicriteria decision making #IEEE CIS #CIS #conference #WCCI #2016

The multiplicity of objectives in most cases of human decision-making requires that we use multi-criteria decision functions in many tasks. These functions play a fundamental role in diverse areas such as information retrieval, pattern recognition, medical diagnosis, information fusion and target recognition. 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 the component criteria. 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 will be paid to formulating multi-criteria functions from linguistically specified user requirements.

In this talk Ronald R Yager describes a number of aggregation operators associated with fuzzy set theory and shows how they can be used to formulate multi-criteria decision functions. Particular attention is paid to formulating multi-criteria functions from linguistically specified user requirements.

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