Ordered weighted average operator
Web5The ordered weighted averaging (OWA) operator describes a parameterized family of aggregation operators, which include the maximum, the minimum and the average criteria. Applications of this operator have been widely studied in the literature 6 . WebSep 1, 2015 · The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the …
Ordered weighted average operator
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WebOrdered weighted average operator The authors in [13] proposed the OWA operator for the aggregation of information through the reordering of the alternatives to obtain a maximum and a minimum operator, according to the interest of the decision maker. Different extensions of the basic OWA operator have been developed, as well as applications in ... WebMay 22, 2024 · The weighted OWA operator. Int. J. Intelligent Systems, 12:153-166, 1997. ... output The output is the weighted ordered weigted average. Author(s) Gleb Beliakov, Daniela L. Calderon, Deakin University References [1]G. Beliakov, H. Bustince, and T. Calvo. A Practical Guide to Averaging Functions. Springer,
WebFeb 6, 2024 · Here is an example of a weighted average calculation: The employee has worked the following hours at the following rates for the workweek: Step 1: To determine …
WebJul 1, 2024 · In this paper, we present certain quadratic averaging operators, including complex fuzzy weighted quadratic averaging, complex fuzzy ordered weighted quadratic averaging, complex fuzzy... WebJun 1, 2015 · In the context of multi-criteria decision making, we propose a new approach to construct an ordered weighted average (OWA) operator in a general case, a convex OWA operator and a trapezoidal OWA operator. Our methodology, based on an interactive decision process, extends the MACBETH methodology and takes as input some …
WebFeb 15, 2024 · Instead of the classic sum of deviations, the use of the ordered weighted average operator allows to obtain a more flexible model. Consequently, the decisor can control how to penalize big and small deviations depending on the studied field or the specific dataset.
WebApr 12, 2024 · To compute the normal weights of attributes, the entropy weighting information process is used. Furthermore, two aggregation operators, namely the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein weighted average and the $ 2 $-tuple linguistic $ q $-rung picture fuzzy Einstein order weighted average, are introduced. shanghai historical weatherWebnonlinear energy operator (INLEO) method which is known as a good method for segmenting a signal. The simulation results indicate that these proposed techniques have greater accuracy compared with previous methods. Keywords: Non-stationary signal, adaptive segmentation, fractal dimension (FD), weighted moving average (WMA) filter. 1. shanghai history museum wikipediaWebMay 15, 2002 · The ordered weighted averaging (OWA) operator was introduced by Yager. 1 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 … shanghai history museum costWebMar 13, 2015 · The ordered weighted average (OWA) is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the … shanghai history museumWebAbstract Ordered weighted averaging (OWA) operator has been received increasingly widespread interest since its appearance in 1988. Recently, a topic search with the keywords “ordered weighted aver... shanghai hitec plastics co ltdWebJul 1, 2002 · One of the well-known dependent aggregation operators is ordered weighted averaging (OWA) operator [12,13] which developed with a lot of generalizations, such as … shanghai hite special alloy co. ltdWebAug 24, 2009 · The generalized ordered weighted averaging (GOWA) operators are a new class of operators, which were introduced by Yager ( Fuzzy Optim Decision Making 2004;3:93–107). However, it seems that there is no investigation on these aggregation operators to deal with intuitionistic fuzzy or interval-valued intuitionistic fuzzy information. shanghai hitec plastics