Results 71 to 80 of about 480,167 (204)
Fuzzy Sets and SystemsThis work has been funded by the Agencia Estatal de Investigación (Government of Spain) under the project PID2022-136627NB-I00 (MCIN/AEI/ 10.13039/501100011033/), Grant VEGA 1/0318/25 and VEGA 1/0239/24 (Slovak Republic).
M. Ferrero-Jaurrieta +4 more
openaire +3 more sources
Anomaly Detection in a Smart Grid Using a Novel Hybrid Deep Learning Approach
The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.This work is about anomaly detection in smart grids using deep learning methods. We have implemented 3 hybrid deep learning algorithms on a real dataset, and we verify the performance using metrics such as precision and F2‐score. ABSTRACT The evolution of smart grids has enabled more efficient fulfilment of energy demands and addressed the limitations ...
Camille Franklin Mbey +4 more
wiley +1 more source
InformaticsRecommendation systems applied to tourism are widely recognized for improving the visitor’s experience in tourist destinations, thanks to their ability to personalize the trip.
Isabel Arregocés-Julio +6 more
doaj +1 more source
The induced 2-tuple linguistic generalized OWA operator and its application in linguistic decision making [PDF]
We present the induced 2-tuple linguistic generalized ordered weighted averaging (2-TILGOWA) operator. This new aggregation operator extends previous approaches by using generalized means, order-inducing variables in the reordering of the arguments and ...
Jose M. Merigo Lindahl +1 more
core
A Similarity Classifier with Bonferroni Mean Operators
Advances in Fuzzy Systems, 2016 A similarity classifier based on Bonferroni mean based operators is introduced. The new Bonferroni mean based variant of the similarity classifier is also extended to cover a new Bonferroni-OWA variant.
Onesfole Kurama +2 more
doaj +1 more source
Some Characterizations of Lattice OWA Operators
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2017 Ordered Weighted Averaging (OWA) operators are a family of aggregation functions for data fusion. If the data are real numbers, then OWA operators can be characterized either as a special kind of discrete Choquet integral or simply as an arithmetic mean of the given values previously ordered.
Laura De Miguel +4 more
openaire +4 more sources
Decision making techniques in business and economics based on the OWA operator [PDF]
, 2017 We analyse the use of the ordered weighted average (OWA) in decision-making giving special attention to business and economic decision-making problems. We present several aggregation techniques that are very useful for decision-making such as the Hamming
Merigó Lindahl, José M. +1 more
core +3 more sources
Technological and Economic Development of Economy, 2016 In this paper, we present the intuitionistic fuzzy generalized probabilistic ordered weighted averaging (IFGPOWA) operator. It is a new aggregation operator that uses generalized means in a unified model between the probability and the OWA operator.
Shouzhen Zeng, Weihua Su, Chonghui Zhang
doaj +1 more source
A method for decision making with the OWA operator [PDF]
, 2012 A new method for decision making that uses the ordered weighted averaging (OWA) operator in the aggregation of the information is presented. It is used a concept that it is known in the literature as the index of maximum and minimum level (IMAM).
José Merigó +3 more
core +1 more source
An ɴ-ary λ-averaging based similarity classifier
International Journal of Applied Mathematics and Computer Science, 2016 We introduce a new n-ary λ similarity classifier that is based on a new n-ary λ-averaging operator in the aggregation of similarities. This work is a natural extension of earlier research on similarity based classification in which aggregation is ...
Kurama Onesfole +2 more
doaj +1 more source