weighted average
Induced intuitionistic fuzzy ordered weighted averaging - weighted average operator and its application to business decision-making
... ordered weighted averaging–weighted average (IOWAWA) operator is a new model that unifies the IOWA operator and the WAs in the same formulation and considering a complex reordering process based on ...
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Image Pair Fusion using Weighted Average Method
... using weighted average. The proposed method differs from other weighted average methods in terms of weight computation and the domain of weight ...
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A weighted average framework for evaluating the quality of Web-located health information
... This paper proposes a framework for evaluating the quality of Web-located health information. A set of affirmative-response evaluation features are identified across four quality categories— currency/authority, accuracy, ...
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A Genetic Algorithm with Weighted Average Normally Distributed Arithmetic Crossover and Twinkling
... Genetic algorithms have been extensively used as a global optimization tool. These algorithms, however, suffer from their generally slow convergence rates. This paper proposes two approaches to address this limitation. ...
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Cohen's kappa is a weighted average
... a weighted average of the κ-values of the tables corresponding to all partitions of that ...a weighted average of the kappas corresponding to the smaller agreement ta- bles that are obtained ...
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An Adaptive Weighted Average (WAV) Reprojection Algorithm for Image Denoising
... The (NLM) algorithm [4] estimates the original image signal by considering the neighbouring area of the current processed pixel. For each pixel, they find all nearby similar patches in the image that match the patch ...
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An Application of Fuzzy Set Theory to the Weighted Average Cost of Capital and Capital Structure Decision
... In this paper we present the use of fuzzy logic as a post-processing method to improve the calculation of the WACC. The purpose of this paper is to develop fuzzy weighted average cost of capital and fuzzy ...
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A weighted average difference method for detecting differentially expressed genes from microarray data
... the weighted average difference method (WAD), for ranking ...the average difference and relative average signal intensity so that highly expressed genes are highly ranked on the average ...
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WEIGHTED AVERAGE ANALYSIS APPROACH FOR HAND GESTURE RECOGNITION USING ANN
... The consequence is that the distance between typical WA values (values of the weighted averaging) increases at an exponential rate, and that makes the classification less sensitive to errors. Indeed, in this case, ...
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Cohen's linearly weighted kappa is a weighted average of 2x2 kappas
... then κ w M is equal to Mielke, Berry, and Johnston’s unweighted κ . The latter statistic satisfies DeMoivre’s definition of agreement (Hubert, 1977, p. 296) and is a measure of simultaneous agreement (Popping, 2010). ...
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Image Segmentation using Weighted Average Local Histogram
... We have conducted our experiment based on color image. Different types of color images are available on the World Wide Web such as [11] . We have created cluster on color image to perform the experiment. Average ...
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Optimization of Time-Weighted Average Air
... Effect of diffusion path length on recoveries of four analytes after sampling for 100,000 s using 23-ga 198. Car/PDMS fiber assembly[r] ...
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Analysis and Identification of Competitive Positions of Companies Operating in Iranian Battery Industry Using Hierarchical Analysis
... 742 invention of the firm competitive analysis approaches with the attempts made by the Boston Consultation Group. The concept of competitive position introduced by this group has been regarded as synonymous with the ...
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FINANCING SELECTION METHOD IN DISCIPLINE EVALUATION USING A WEIGHTED INDUCED MODEL
... ILWIOWA weighted average (ILWIOWAWA) operator is an integrated method that combines the key advantages of the WIOWA and weighted average to aggregate the IL ...
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Three essays on momentum returns
... equally- weighted decile portfolios, where the top decile portfolio (P1) is called the losers decile and the bottom (P10) is the winners ...equal-weighted average of portfolio returns from strategies ...
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Spatial Aggregation and Prediction in the Hedonic Model
... D.1 Comparison of MAEs for MLS Group A (Aggregated vs. Weighted Average) 90 D.2 Comparison of MAEs for MLS Group B (Aggregated vs. Weighted Average) 91 D.3 Comparison of MAEs for MLS Gro[r] ...
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Detecting the start of an influenza outbreak using exponentially weighted moving average charts
... as the name suggests, the EWMA statistic E t is a weighted average of all previous observed y t values with weights that become (exponentially) smaller as we go further back in time. As such the EWMA ...
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MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN
... the weighted- average method, the equivalent units of production equals the number of units transferred out to the next department or to finished goods plus the equivalent units in ending work in process ...
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A Fuzzy Pay off Method for Real Option Valuation
... the average net profit appropriately discounted to Year 0, the date of the initial R & D investment decision, contingent on terminating the project if a loss is fore- cast at the future launch decision ...
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Legume based plant mixtures for delivery of multiple ecosystem services: An overview of benefits
... community weighted mean of different plant traits for various mixtures; this aggregated trait of the mixture is the weighted average of the traits of individual mixture ...Community weighted ...
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