Type-1 OWA operators

Known as: Type-1 OWA aggregation operators 
The Yager's OWA (ordered weighted averaging) operators are used to aggregate the crisp values in decision making schemes (such as multi-criteria… (More)
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2015
2015
Information aggregation is a key task in any group decision making problem. In the fuzzy linguistic context, when comparing two… (More)
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2014
2014
We introduce the ordered weighted averaging (OWA) operator and emphasize how the choice of the weights, the weighting vector… (More)
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2011
2011
This paper aims to establish the relationship between two apparent disparate problems: (i) the aggregation of uncertain… (More)
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2011
2011
Type-1 Ordered Weighted Averaging (OWA) operator provides us with a new technique for directly aggregating uncertain information… (More)
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2009
2009
In this paper, a novel type-1 OWA based non-stationary fuzzy system is proposed, in which the type-1 OWA operator is used in the… (More)
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Highly Cited
2008
Highly Cited
2008
The OWA operator proposed by Yager has been widely used to aggregate experts’ opinions or preferences in human decision making… (More)
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2003
2003
Relevance Learning Vector Quantization (RLVQ) (introduced in [1]) is a variation of Learning Vector Quantization (LVQ) which… (More)
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2002
2002
We recall the OWA operator and discuss some of the features used to characterize these operators. In passing we introduce an new… (More)
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Highly Cited
2000
Highly Cited
2000
In this paper, we present the theory and design of interval type-2 fuzzy logic systems (FLSs). We propose an efficient and… (More)
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Highly Cited
1995
Highly Cited
1995
ANGIOTENSIN II, a potent regulator of blood pressure and of water and electrolyte balance, binds to two different G-protein… (More)
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