# Weighted means

### Constructing Choquet integral based operators that generalize weighted means and OWA operators

**Weighted**

**means**and ordered

**weighted**averaging (OWA) operators (introduced by Yager [1]) are well-known functions widely used for this ...by

**means**of weighting vectors, but their ...

19

### Generalizations of weighted means and OWA operators by using unimodal weighting vectors

**Weighted**

**means**and OWA operators are two fam- ilies of functions well known in the ...the

**weighted**

**means**and the OWA operators have been suggested in recent ...

10

### An analysis of Winsorized weighted means

**means**to include weighting vec- tors. For this, we have introduced, in a natural way, a new family of functions called Winsorized

**weighted**

**means**. These ...

27

### An analysis of some functions that generalizes weighted means and OWA operators

**weighted**

**means**and OWA operators. On the one hand, OWAWA operators do not generalize

**weighted**...

14

### SUOWA operators: An analysis of their conjunctive/disjunctive character

**weighted**

**means**and OWA operators) are a well-known family of functions widely used in several scientific ...generalize

**weighted**

**means**and OWA operators, and provide conditions under ...

23

### SUOWA operators: Constructing semi-uninorms And analyzing specific cases

22

### new class of functions for integrating weighting means and OWA operators

**weighted**

**means**, OWA operators and Choquet ...by

**means**of which we can integrate

**weighted**

**means**and OWA operators in a new class of operators, the SUOWA ...

10

### On the relationship between the Crescent Method and SUOWA operators

**weighted**

**means**and the ordered

**weighted**averaging (OWA) operators ...combine

**weighted**

**means**and OWA ...the

**weighted**ordered

**weighted**averaging (WOWA) operators [3] and ...

6

### Structural and spectral properties of minimal strong digraphs

**weighted**connected graph and a

**weighted**strong digraph, find the minimum spanning ...

6

### A-means: improving the cluster assignment phase of k-means for Big Data

**means**, the membership of a data point to a cluster is determined based on the maximal closeness of the point to each of the centroids. The distance calculations are computationally ...

8

### Particle swarm optimization para problemas de secuenciamiento: total weighted tardiness

**Weighted**Tardiness para máquina única [24], n jobs se procesan sin interrupción en una única máquina. Ésta sólo puede procesar un único job a la vez. Todo job j (j = 1, ...,n) ...

5

### Population and trends in the global mean temperature

**weighted**temperature trend differs in key details from the area-

**weighted**temperature trend; (2) that conflation is a bigger problem than non-representativeness; (3) that the urban heat island ...

15

### 16639224

**weighted**weak type inequalities for M (see [5] and ...

20

### Fuzzy C Means : Distribuido en la nube

**Means**- y su utilidad, estos conceptos son el Big ...

77

### ON ENTRE K MEANS Y REDES NEURONALES

**means**(Hartigan & Wong 1979) de gran utilidad para los m´ etodos de clasificaci´ on, ya que, permite hacer particiones de ...

29

### A Comparison of Fuzzy Clustering Algorithms Applied to Feature Extraction on Vineyard

**Means**Algorithm (PCM). The PCM algorithm considers the clustering problem from the viewpoint of possibility theory [10]. The ap- proach adopted in PCM differs from the FCM algorithm because the ...

10

### Consumer Processing of Online Trust Signals: A Neuroimaging Study

**means**to objectively study the effectiveness of each e-Assurance as the comparison of brain activations elicited by seals of approval, rating systems or assurance statements during product evaluation ...

65

### 03 Successful Home Canning

26

### TítuloNew Computation of Resolving Connected Dominating Sets in Weighted Networks

14

### Classical operators on weighted Bergman and mixed norm spaces

125