January 1, 1996International Journal of Intelligent Systems
Quantifier guided aggregation using OWA operators
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Implication
Theoretical study demonstrates linguistic quantifier-guided multicriteria decision aggregation using fuzzy sets, indicating improved flexibility in partial criteria satisfaction.
Key Points
- To formulate a multicriteria aggregation methodology that accommodates partial satisfaction of criteria defined by linguistic quantifiers using OWA operators.
- Represented linguistic quantifiers via fuzzy sets to construct decision functions using Ordered Weighted Averaging (OWA) aggregations.
- Developed mathematical procedures to determine the degree of 'orness' directly from quantifiers and integrate criteria importance weights.
- Extended standard OWA operators to incorporate triangular norms.
- Demonstrated that fuzzy linguistic quantifiers can directly generate weighting vectors for OWA aggregation functions.
- Provided an analytical framework to calculate 'orness' measures and criteria importance while extending aggregation behavior via triangular norms.
Cite This Study
Ronald R. Yager (1996) studied this question.