Centered OWA Operators
Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yager, R. R. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2006 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Soft Computing - Springer-Verlag, 2003, 11(2006), 7 vom: 20. Juni, Seite 631-639 |
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| Übergeordnetes Werk: |
volume:11 ; year:2006 ; number:7 ; day:20 ; month:06 ; pages:631-639 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00500-006-0125-z |
|---|
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SPR006473881 |
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| 520 | |a Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators. | ||
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| 650 | 4 | |a Small Argument |7 (dpeaa)DE-He213 | |
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10.1007/s00500-006-0125-z doi (DE-627)SPR006473881 (SPR)s00500-006-0125-z-e DE-627 ger DE-627 rakwb eng Yager, R. R. verfasserin aut Centered OWA Operators 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators. Weighting Vector (dpeaa)DE-He213 Aggregation Operator (dpeaa)DE-He213 Centered Weight (dpeaa)DE-He213 Large Argument (dpeaa)DE-He213 Small Argument (dpeaa)DE-He213 Enthalten in Soft Computing Springer-Verlag, 2003 11(2006), 7 vom: 20. Juni, Seite 631-639 (DE-627)SPR006469531 nnns volume:11 year:2006 number:7 day:20 month:06 pages:631-639 https://dx.doi.org/10.1007/s00500-006-0125-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 11 2006 7 20 06 631-639 |
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10.1007/s00500-006-0125-z doi (DE-627)SPR006473881 (SPR)s00500-006-0125-z-e DE-627 ger DE-627 rakwb eng Yager, R. R. verfasserin aut Centered OWA Operators 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators. Weighting Vector (dpeaa)DE-He213 Aggregation Operator (dpeaa)DE-He213 Centered Weight (dpeaa)DE-He213 Large Argument (dpeaa)DE-He213 Small Argument (dpeaa)DE-He213 Enthalten in Soft Computing Springer-Verlag, 2003 11(2006), 7 vom: 20. Juni, Seite 631-639 (DE-627)SPR006469531 nnns volume:11 year:2006 number:7 day:20 month:06 pages:631-639 https://dx.doi.org/10.1007/s00500-006-0125-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 11 2006 7 20 06 631-639 |
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Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators. |
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Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators. |
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Abstract We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators. |
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