New view of fuzzy aggregations. part I: general information structure for decision-making models [PDF]
The Ordered Weighted Averaging (OWA) operator was introduced by Yager [57] to provide a method for aggregating inputs that lie between the max and min operators.
Gia Sirbiladze
doaj +1 more source
Web-enabled spatial decision analysis using Ordered Weighted Averaging (OWA) [PDF]
This paper presents a spatial decision support tool that implements the Ordered Weighted Averaging (OWA) method. OWA is a family of multicriteria evaluation operators characterised by two sets of weights: criterion importance weights and order weights.
Rinner, Claus (Author) +1 more
openaire +3 more sources
The connection between distortion risk measures and ordered weighted averaging operators [WP] [PDF]
Distortion risk measures summarize the risk of a loss distribution by means of a single value. In fuzzy systems, the Ordered Weighted Averaging (OWA) and Weighted Ordered Weighted Averaging (WOWA) operators are used to aggregate a large number of fuzzy ...
Belles Sampera, Jaume +3 more
core +4 more sources
A Study of OWA Operators Learned in Convolutional Neural Networks
Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets the CNN integrate global information about the image in the early stages, where most ...
Iris Dominguez-Catena +2 more
doaj +1 more source
A New Minkowski Distance Based on Induced Aggregation Operators [PDF]
The Minkowski distance is a distance measure that generalizes a wide range of distances such as the Hamming and the Euclidean distance. In this paper, we develop a generalization of the Minkowski distance by using the induced ordered weighted averaging ...
José Merigo, Montserrat Casanovas
doaj +1 more source
Decision Support under Risk by Optimization of Scenario Importance Weighted OWA Aggregations
The problem of evaluation outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuzzy operator defined as the so-called weighted OWA (WOWA) aggregation offers a well-
Włodzimierz Ogryczak +1 more
doaj +1 more source
Abstract Wireless Sensor Networks have become a vast field of study. In the past few years, it has been seen that the use of wireless sensor networks in various fields, such as health monitoring, landslide detection, agriculture field, etc., is increased.
Prince Rajpoot +5 more
openaire +1 more source
Scalable approximate FRNN-OWA classification [PDF]
Fuzzy Rough Nearest Neighbour classification with Ordered Weighted Averaging operators (FRNN-OWA) is an algorithm that classifies unseen instances according to their membership in the fuzzy upper and lower approximations of the decision classes. Previous
Cornelis, Chris +2 more
core +1 more source
Urban Development Modeling Using Integrated Fuzzy Systems, Ordered Weighted Averaging (OWA), and Geospatial Techniques [PDF]
This paper proposes a model to identify the changing of bare grounds into built-up or developed areas. The model is based on the fuzzy system and the Ordered Weighted Averaging (OWA) methods. The proposed model consists of four main sections, which include physical suitability, accessibility, the neighborhood effect, and a calculation of the overall ...
Neda Ghasemkhani +4 more
openaire +1 more source
Decision making with Dempster-Shafer belief structure and the OWAWA operator
A new decision making model that uses the weighted average and the ordered weighted averaging (OWA) operator in the Dempster-Shafer belief structure is presented.
José M. Merigo +2 more
doaj +1 more source

