Crynodeb
Aggregation operators are crucial to integrating diverse decision makers' opinion. While minimum and maximum can represent optimistic and pessimistic extremes, an Ordered Weighted Aggregation (OWA)operator is able to reflect varied human attitudes lying between the two using distinct weight vectors. Several weight determination
techniques ignore characteristics of data being aggregated. In contrary, data-oriented operators like centered OWA and dependent
OWA utilize the centralized data structure to generate reliable weights. Values near the center of a group receive higher weights
than those further away. Despite its general applicability, this perspective entirely neglects any local data structures representing strong agreements or consensus. This paper presents a new dependent
OWA operator (Clus-DOWA) that applies distributed structure of data or data clusters to determine its weight vector. The reliability of weights created by DOWA and Clus-DOWA operators are experimentally
compared in the tasks of classification and unsupervised feature selection.
Iaith wreiddiol | Saesneg |
---|---|
Teitl | Proceedings of IEEE International Conference on Fuzzy Systems |
Tudalennau | 1057-1063 |
Nifer y tudalennau | 7 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - 01 Meh 2008 |
Digwyddiad | Fuzzy Systems - Hong Kong, Hong Kong, Tsieina Hyd: 01 Meh 2008 → 06 Meh 2008 Rhif y gynhadledd: 17 |
Cyfres gyhoeddiadau
Enw | IEEE International Conference on Fuzzy Systems |
---|---|
ISSN (Argraffiad) | 1098-7584 |
Cynhadledd
Cynhadledd | Fuzzy Systems |
---|---|
Teitl cryno | FUZZ-IEEE-2008 |
Gwlad/Tiriogaeth | Tsieina |
Dinas | Hong Kong |
Cyfnod | 01 Meh 2008 → 06 Meh 2008 |