SDOWA: A New OWA Operator for Decision Making
| Autor: | Marta Cardin, Silvio Giove |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Algebra
Set (abstract data type) Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie 0209 industrial biotechnology 020901 industrial engineering & automation Operator (computer programming) Computer science 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Standard deviation |
| Zdroj: | Progresses in Artificial Intelligence and Neural Systems ISBN: 9789811550928 IIH-MSP (1) |
| Popis: | Ordered Weighted Aggregation operators (OWA) are widely analyzed and applied to real world problems, given their appealing characteristic to reflect human reasoning, but are enable in the basic definition to include importance weights for the criteria. To obviate, some extensions were introduced, but we show how none of them can satisfy completely a set of required properties. Thus we introduce a new proposal, the Standard Deviation OWA (SDOWA) which conversely satisfy all the listed properties and seems to be more convincing then other ones. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|