Results 251 to 260 of about 94,544 (296)

Additive Weighted Ordered Weighted Average

NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, 2007
This paper presents a simplified version of Tora's Weighted Ordered Weighted Average based on restricting the Ordered Weighted Average component to a Soft Hurwicz Rule. It provides an easily understood, easily implemented tool that respects both the relative inherent importance of criteria and the degree to which tradeoffs among them are appropriate.
openaire   +1 more source

Ordered Novel  Weighted Averages

2018
The novel weighted averages (NWAs) are extensions of the linear arithmetic weighted average and are powerful tools in aggregating diverse inputs including numbers, intervals, type-1 fuzzy sets (T1 FSs), words modeled by interval type-2 fuzzy sets, or a mixture of them.
Dongrui Wu, Jian Huang
openaire   +1 more source

Density-induced ordered weighted averaging operators

International Journal of Intelligent Systems, 2011
We provide a special type of induced ordered weighted averaging (OWA) operator called density-induced OWA (DIOWA) operator, which takes the density around the arguments as the inducing variables to reorder the arguments. The density around the argument, which can measure the degree of similarity between the argument and its nearest neighbors, is ...
Feng-Mei Ma, Ya-Jun Guo
openaire   +1 more source

The ordered weighted geometric averaging operators

International Journal of Intelligent Systems, 2002
Summary: The Ordered Weighted Averaging (OWA) operator was introduced by Yager. The fundamental aspect of the OWA operator is a reordering step in which the input arguments are rearranged in descending order. In this article, we propose two new classes of aggregation operators called Ordered Weighted Geometric Averaging (OWGA) operators and study some ...
Xu, Z. S., Da, Q. L.
openaire   +2 more sources

Complex fuzzy ordered weighted quadratic averaging operators

Granular Computing, 2020
A complex fuzzy set, the generalization of fuzzy set provides a powerful mathematical framework whose membership degrees are in the form of complex numbers in the unit disc. The averaging operators consisting of the properties of both t-norm and t-conorm are of great importance in complex fuzzy environment.
Muhammad Akram, Ayesha Bashir
openaire   +1 more source

Induced Ordered Weighted Averaging Operators

2011
Since the introduction of the ordered weighted averaging operator [18], the OWA has received great attention with applications in fields including decision making, recommender systems [8, 21], classification [10] and data mining [16] among others. The most important step in the calculation of the OWA is the permutation of the input vector according to ...
Gleb Beliakov, Simon James
openaire   +1 more source

Canonical form of ordered weighted averaging operators

Annals of Operations Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LeSheng Jin, Radko Mesiar, Martin Kalina, Ronald R. Yager   +3 more
openaire   +2 more sources

On a weighted ordered weighted averaging based similarity classifier

2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), 2016
The classification accuracy of a classifier depends largely on the aggregation operator it uses in fusion of information. This paper presents a similarity classifier that utilizes a weighted ordered weighted averaging (WOWA) operator. The applicability of the WOWA operator for aggregation of similarities is studied and tested with several Regular ...
Onesfole Kurama, Pasi Luukka, Mikael Collan   +2 more
openaire   +1 more source

Bipolar Ordered Weighted Quasi-Averages and Induced Bipolar Ordered Weighted Averages: BIGOWA and IBIOWA operators

Iranian Journal of Fuzzy Systems
A generalization of bipolar OWA operators, bipolar ordered weighted quasi-averages, based on the bipolar Choquet g-integrals, so called g-BIOWA operators are introduced and investigated. A generalization of induced OWA operators considering non-negative inputs and order-inducing variables, induced bipolar ordered weighted averages are introduced ...
Kalina, Martin, Mihailović, Biljana, Scaron;trboja,, Mirjana   +2 more
openaire   +1 more source

Minimization of uncertainty for ordered weighted average

International Journal of Intelligent Systems, 2010
Summary: Existing ordered weighted average (OWA) characterization methods maximize similarity among information sources by seeking maximal weights entropy or by minimizing weights variance. These methods are based solely on the weights, and the uncertainties of input information sources are ignored.
Vergara, Victor M., Xia, Shan
openaire   +1 more source