Results 1 to 10 of about 3,046 (162)

A goal-based weighting for composite indicators constructed through Ordered Weighted Averaging (OWA) operator [PDF]

open access: yesMethodsX
The Ordered Weighted Averaging (OWA) operator is a multicriteria method that has conquered space among researchers in the composite indicators field. Typically, OWA operator weights are defined by the decision maker.
Matheus Pereira Libório   +3 more
doaj   +4 more sources

Ordered Weighted Averaging (OWA), Decision Making under Uncertainty, and Deep Learning: How Is This All Related? [PDF]

open access: yesInformation, 2022
Among many research areas to which Ron Yager contributed are decision making under uncertainty (in particular, under interval and fuzzy uncertainty) and aggregation—where he proposed, analyzed, and utilized ordered weighted averaging (OWA).
Vladik Kreinovich
doaj   +2 more sources

Applications of ordered weighted averaging (OWA) operators in environmental problems

open access: yesMultidisciplinary Journal for Education, Social and Technological Sciences, 2017
This paper presents an application of a prioritized weighted aggregation operator based on ordered weighted averaging (OWA) to deal with stakeholders' constructive participation in water resources projects.
Carlos Llopis-Albert   +1 more
doaj   +5 more sources

A fuzzy parametric model for decision making involving F-OWA operator with unknown weights environment [PDF]

open access: yesHeliyon, 2023
Weight determining of attributes is an important factor in decision support systems since it corresponds to the relative importance of each criteria which is necessary to be determined since all the attributes aren't equally important.
Muhammad Touqeer   +5 more
doaj   +2 more sources

MODIFIKASI K-MEANS BERBASIS ORDERED WEIGHTED AVERAGING (OWA) UNTUK KASUS KLASTERING

open access: yesAgrointek, 2016
K-means clustering method based on Ordered Weighted Averaging (OWA) was developed by Cheng et al (2009) to resolve problem in classification using integrating k-means clustering and OWA.
Millatul Ulya Millatul Ulya
doaj   +2 more sources

The adaptive functional piecewise ordered weighted averaging method and its application to pollutant concentration analysis. [PDF]

open access: yesPLoS ONE
The evolving patterns of pollutant concentrations and their rigorous assessment are critical issues in contemporary environmental research and policy-making, with important practical implications for air quality management and regional pollution control.
Yang Li, Xiaoxue Hu, Maozai Tian
doaj   +2 more sources

Orness For Idempotent Aggregation Functions [PDF]

open access: yesAxioms, 2017
Aggregation functions are mathematical operators that merge given data in order to obtain a global value that preserves the information given by the data as much as possible.
Leire Legarreta   +2 more
doaj   +4 more sources

Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA

open access: yesSoftwareX
Composite indicators are one-dimensional measures that help decision-makers understand complex realities. Existing software builds composite indicators using different methods, also providing a measure of the stability of their structure.
Laura Cozzi Ribeiro   +6 more
doaj   +2 more sources

Enhancing Edge Attack Strategy via an OWA Operator-Based Ensemble Design in Real-World Networks [PDF]

open access: yesEntropy, 2020
Network disintegration has been an important research hotspot in complex networks for a long time. From the perspective of node attack, researchers have devoted to this field and carried out numerous works.
Yuan Feng   +4 more
doaj   +2 more sources

Bonferroni Weighted Logarithmic Averaging Distance Operator Applied to Investment Selection Decision Making

open access: yesMathematics, 2022
Distance measures in ordered weighted averaging (OWA) operators allow the modelling of complex decision making problems where a set of ideal values or characteristics are required to be met.
Victor G. Alfaro-Garcia   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy