Results 11 to 20 of about 106,167 (267)

Using Ordered Weighted Average for Weighted Averages Inflation [PDF]

International Journal of Information Technology & Decision Making, 2020
This paper presents the ordered weighted average weighted average inflation (OWAWAI) and some extensions using induced and heavy aggregation operators and presents the generalized operators and some of their families. The main advantage of these new formulations is that they can use two different sets of weighting vectors and generate new scenarios ...
Luis F. Espinoza-Audelo, Ernesto León-Castro, Marycruz Olazabal-Lugo, José M. Merigó, Anna M. Gil-Lafuente   +4 more
openaire   +4 more sources

Average weights and power in weighted voting games [PDF]

Mathematical Social Sciences, 2020
We investigate a class of weighted voting games for which weights are randomly distributed over the standard probability simplex. We provide close-formed formulae for the expectation and density of the distribution of weight of the $k$-th largest player under the uniform distribution. We analyze the average voting power of the $k$-th largest player and
Daria Boratyn, Werner Kirsch, Wojciech Slomczynski, Dariusz Stolicki, Karol Zyczkowski   +4 more
openaire   +3 more sources

The Linguistic Weighted Average [PDF]

2006 IEEE International Conference on Fuzzy Systems, 2006
The focus of this paper is the linguistic weighted average (LWA), which is a generalization of the fuzzy weighted average (FWA) that is obtained by replacing the type-1 fuzzy inputs in the FWA by interval type-2 fuzzy sets (IT2 FSs). Consequently, the output of the LWA is an IT2 FS.
Dongrui Wu, Jerry M. Mendel
openaire   +2 more sources

New Operators for Aggregating Intuitionistic Fuzzy Information With Their Application in Decision Making

IEEE Access, 2018
Aggregation of intuitionistic fuzzy information is a hot topic in Atanassov's intuitionistic fuzzy set theory, which has attracted much interest from researchers in recent years. In this paper, a series of new aggregation operators and weighted averaging
Cheng-Li Fan, Yafei Song, Qiang Fu, Lei Lei, Xiaodan Wang   +4 more
doaj   +1 more source

Stochastic Weight Averaging Revisited

Applied Sciences, 2023
Averaging neural network weights sampled by a backbone stochastic gradient descent (SGD) is a simple-yet-effective approach to assist the backbone SGD in finding better optima, in terms of generalization. From a statistical perspective, weight-averaging contributes to variance reduction.
Hao Guo, Jiyong Jin, Bin Liu
openaire   +3 more sources

Characterized trigonometric quadripartitioned neutrosophic sets based on weighted operators [PDF]

Neutrosophic Sets and Systems
In this work, a novel approach to the generation of trigonometric (α,ζ,γ,δ) quadripartitioned neutrosophic sets (QPNSS) is presented. The neutrosophic sets and (α,ζ,γ,δ) neutrosophic sets are referred to as the quadripartitioned neutrosophic sets ...
Murugan Palanikumar, Nasreen Kausar, Tonguc Cagin   +2 more
doaj   +1 more source

Identification and Classification of Multi-Attribute Decision-Making Based on Complex Intuitionistic Fuzzy Frank Aggregation Operators

Mathematics, 2023
Invented by Frank in 1979, Frank’s t-norm and t-conorm operations possess improved modifications and can be applied more generally than the existing algebraic t-norm and t-conorm.
Xiaopeng Yang, Tahir Mahmood, Zeeshan Ali, Khizar Hayat   +3 more
doaj   +1 more source

Slice weighted average regression

Advances in Data Analysis and Classification, 2023
Abstract It has previously been shown that ordinary least squares can be used to estimate the coefficients of the single-index model under only mild conditions. However, the estimator is non-robust leading to poor estimates for some models.
Masioti, Marina, Davies, Joshua, Shaker, Amanda, Prendergast, Luke A.   +3 more
openaire   +2 more sources

Reciprocal floor function is used in algebraic structures to extend the complex logarithmic neutrosophic set using averaging and geometric operators [PDF]

Neutrosophic Sets and Systems
This work presents a new method for creating complex logarithmic reciprocal floor function neutro sophic sets. This article will cover generalized weighted averaging, generalized weighted geometric, geometric, and complex logarithmic neutrosophic ...
M. Palanikumar, Nasreen Kausar, Elif Demir, Candy Abbou   +3 more
doaj   +1 more source

Decision-Making Approach under Pythagorean Fuzzy Yager Weighted Operators

Mathematics, 2020
In fuzzy set theory, t-norms and t-conorms are fundamental binary operators. Yager proposed respective parametric families of both t-norms and t-conorms. In this paper, we apply these operators for the analysis of Pythagorean fuzzy sets. For this purpose,
Gulfam Shahzadi, Muhammad Akram, Ahmad N. Al-Kenani   +2 more
doaj   +1 more source