Results 21 to 30 of about 106,167 (267)

Weighted averaging and stochastic approximation [PDF]

open access: yesProceedings of 35th IEEE Conference on Decision and Control, 1997
The authors investigate the relations between weighted averaging and stochastic approximation (SA) algorithms. First, they define the weighted averaging operator and introduce two properties of the operator: regularity and effectiveness. They establish necessary and sufficient conditions on a sequence for convergence of its average.
I-Jeng Wang   +2 more
openaire   +2 more sources

MABAC framework for logarithmic bipolar fuzzy multiple attribute group decision-making for supplier selection

open access: yesComplex & Intelligent Systems, 2023
In this article, we introduce logarithmic operations on bipolar fuzzy numbers (BFNs). We present some new operators based on these operations, namely, the logarithm bipolar fuzzy weighted averaging (L-BFWA) operator, logarithm bipolar fuzzy ordered ...
Chiranjibe Jana   +4 more
doaj   +1 more source

Entrepreneurship and Decision-Making in Latin America

open access: yesInnovar: Revista de Ciencias Administrativas y Sociales, 2014
The principal purpose of this paper is to analyze different methods for decision making, with a focus on entrepreneurship in Latin America. Decision-making methods may be informed by aggregation operators that are based on the use of probabilities ...
José M. Merigó, Marta Peris-Ortiz
doaj   +1 more source

Weighted Averages in the Ordered Weighted Average Inflation

open access: yes, 2019
This paper presents the ordered weighted average weighted average inflation (OWAWAI). The OWAWAI operator is a new formulation for calculating inflation that provides different criteria for the association between the arguments and weights. OWAWAI presents the possibility to generate new approaches that under- or overestimate the results according to ...
Ernesto León-Castro   +2 more
openaire   +3 more sources

Reciprocal fraction function tools used for \-rung Quadripartitioned neutrosophic sets [PDF]

open access: yesNeutrosophic Sets and Systems
This paper presents a new method for creating a \-rung reciprocal fraction function. We introduce quadripartitioned neutrosophic sets (QNSS). The reciprocal fraction function applied to quadripartitioned neutrosophic sets are the neutrosophic sets and ...
M.Palanikumar   +2 more
doaj   +1 more source

Properties of quadripartitioned neutrosophic interval-valued set to the reciprocal fraction function via various operators [PDF]

open access: yesNeutrosophic Sets and Systems
A novel technique used to generate quadripartitioned neutrosophic interval-valued sets applied to the reciprocal fraction function is presented in this paper.
M.Palanikumar   +2 more
doaj   +1 more source

Adversarial Training With Stochastic Weight Average [PDF]

open access: yes2021 IEEE International Conference on Image Processing (ICIP), 2021
Adversarial training deep neural networks often experience serious overfitting problem. Recently, it is explained that the overfitting happens because the sample complexity of training data is insufficient to generalize robustness. In traditional machine learning, one way to relieve overfitting from the lack of data is to use ensemble methods. However,
Joong-won Hwang   +3 more
openaire   +4 more sources

The ordered weighted average inflation [PDF]

open access: yesJournal of Intelligent & Fuzzy Systems, 2019
This paper introduces the ordered weighted average inflation (OWAI). The OWAI operator aggregates the information of a set of inflations and provides a range of scenarios from the minimum and the maximum inflation. The advantage of this approach is that it can provide a flexible inflation formula that can be adapted to the specific characteristics of ...
Ernesto León-Castro   +4 more
openaire   +3 more sources

The Weighted‐Average Lagged Ensemble [PDF]

open access: yesJournal of Advances in Modeling Earth Systems, 2017
AbstractA lagged ensemble is an ensemble of forecasts from the same model initialized at different times but verifying at the same time. The skill of a lagged ensemble mean can be improved by assigning weights to different forecasts in such a way as to maximize skill.
T. DelSole, L. Trenary, M. K. Tippett
openaire   +2 more sources

Weighted-Average Quantile Regression

open access: yesSSRN Electronic Journal, 2022
69 ...
Chetverikov, Denis   +2 more
openaire   +2 more sources

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