On aggregating uncertain information by type-2 OWA operators for soft decision making

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On aggregating uncertain information by type-2 OWA operators for soft decision making

Yager’s ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts’ individual opinions or preferences for achieving an overall decision. The traditional Yager’s OWA operator focuses exclusively on the aggregation of crisp numbers. However, human experts usually tend to express their opinions or preferences in a very natural way via linguistic te...

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Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers

The OWA operator proposed by Yager has been widely used to aggregate experts’ opinions or preferences in human decision making. Yager’s traditional OWA operator focuses exclusively on the aggregation of crisp numbers. However, experts usually tend to express their opinions or preferences in a very natural way via linguistic terms. These linguistic terms can be modelled or expressed by (type-1) ...

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OWA Operators in Decision Making∗

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ژورنال

عنوان ژورنال: International Journal of Intelligent Systems

سال: 2010

ISSN: 0884-8173,1098-111X

DOI: 10.1002/int.20420