Results 51 to 60 of about 9,830 (211)
OWA Operators in Regression Problems [PDF]
IEEE Transactions on Fuzzy Systems, 2010 We consider an application of fuzzy logic connectives to statistical regression. We replace the standard least squares, least absolute deviation, and maximum likelihood criteria with an ordered weighted averaging (OWA) function of the residuals. Depending on the choice of the weights, we obtain the standard regression problems, high-breakdown robust ...
R.R. Yager, G. Beliakov
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Oxford Bulletin of Economics and Statistics, Volume 88, Issue 2, Page 291-330, April 2026.ABSTRACT This study investigates the impact of local labour market concentration on wage and non‐wage attributes, leveraging demand‐side panel data. The analysis replicates the standard findings on wage and hiring elasticity, potentially revealing an additional layer‐abstention from collective bargaining agreements (CBAs) could lead to a double ...
Simone Chinetti
wiley +1 more source
The General Least Square Deviation OWA Operator Problem
Mathematics, 2019 A crucial issue in applying the ordered weighted averaging (OWA) operator for decision making is the determination of the associated weights. This paper proposes a general least convex deviation model for OWA operators which attempts to obtain the ...
Dug Hun Hong, Sangheon Han
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Mathematics, 2020 Nowadays, decision making problems have increased their complexity and a single decision maker cannot handle these problems, with a more diverse and comprehensive view of them being necessary, which results in group decision making (GDM) schemes.
Wen He +4 more
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Lattice Stiffening and Delayed Fluorescence in Columnar Liquid‐Crystalline Glasses
ChemPlusChem, Volume 91, Issue 3, March 2026.If the substitution pattern is well‐chosen, semiflexible triaryltriazine esters form glassy columnar liquid crystals whose column lattice distinctively shrinks at the glass transition. The presence of columnar liquid‐crystalline order is found to favor delayed fluorescence by triplet–triplet annihilation.
Monike da Silva Kutz +6 more
wiley +1 more source
On MILP Models for the OWA Optimization
Journal of Telecommunications and Information Technology, 2012 The problem of aggregating multiple outcomes to form overall objective functions is of considerable importance in many applications. The ordered weighted averaging (OWA) aggregation uses the weights assigned to the ordered values (i.e., to the largest ...
Włodzimierz Ogryczak, Paweł Olender
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Decision Support under Risk by Optimization of Scenario Importance Weighted OWA Aggregations
Journal of Telecommunications and Information Technology, 2023 The problem of evaluation outcomes under several scenarios to form overall objective functions is of considerable importance in decision support under uncertainty. The fuzzy operator defined as the so-called weighted OWA (WOWA) aggregation offers a well-
Włodzimierz Ogryczak +1 more
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Owa Operators In Generalized Distances
, 2009 Different types of aggregation operators such as the ordered weighted quasi-arithmetic mean (Quasi-OWA) operator and the normalized Hamming distance are studied. We introduce the use of the OWA operator in generalized distances such as the quasiarithmetic distance.
Gil Lafuente, Anna Maria +1 more
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Recursive families of OWA operators [PDF]
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 2002 Introduces an alternative characterization of OWA operators by means of recursive definitions on their dimension. Some mathematical results are provided along with some examples concerning also a characterization of linguistic quantifiers by means of these recursive definitions of OWA operators.
CUTELLO, Vincenzo, Montero J.
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Decision making techniques with similarity measures and OWA operators [PDF]
, 2012 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
Gil-Lafuente, Anna M., Merigó, José M.
core +3 more sources