Results 101 to 110 of about 520,055 (205)
OWA Operators in Decision Making
In 1988 Ronald R. Yager [14] introduced a new aggregation technique based on the ordered weighted averaging (OWA) operators. The goal of this paper is to present a short survey of of OWA operators and illustrate their applicability by a real-life example.
Robert Fullér
core
Modelling fraud detection by attack trees and Choquet integral [PDF]
Modelling an attack tree is basically a matter of associating a logical ÒndÓand a logical ÒrÓ but in most of real world applications related to fraud management the Ònd/orÓlogic is not adequate to effectively represent the relationship between a parent ...
Silvio Giove +2 more
core
Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data [PDF]
AI systems require transformations of big data critical to processing because the findings are based upon incomplete, inconsistent, and/or biased findings which mean that findings and subsequent achieved expectations will inevitably have limitations ...
Juan Roberto Pereira Salcedo +3 more
doaj
On the learning of weights in some aggregation operators: the weighted mean and OWA operators [PDF]
We study the determination of weights for two types of aggregation operators: the weighted mean and the OWA operator. We assume that there is at our disposal a set of examples for which the outcome of the aggregation operator is known.
Torra Ferré, Vicenç
core
Robustifying OWA operators for aggregating data with outliers
We propose a version of Ordered Weighted Averaging (OWA) operators which are robust against inputs with outliers. Outliers may heavily bias the outputs of the standard OWA.
Simon James (13094904) +3 more
core
Risk management of hydrogenation station PPP project based on 3D framework-A case study in China. [PDF]
Zhao H, Yu G, Cheng X.
europepmc +1 more source
Editorial: Soft computing and artificial intelligence techniques in decision making, management and engineering. [PDF]
Leon-Castro E +3 more
europepmc +1 more source
A color extraction algorithm by segmentation. [PDF]
Wu Q +6 more
europepmc +1 more source

