weighted averaging
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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An effective and effecient peptide binding prediction approach for a broad set of HLA-DR molecules based on ordered weighted averaging of binding pocket profiles
... Here, we propose a new MHC II binding prediction method, which we call OWA-PSSM. A preliminary study of a special case of this framework was first conducted in [18]. This method is a significantly extended version of the ...
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Index Terms - vague sets, triangular vague sets, triangular vague ordered weighted averaging operator, triangular vague hybrid
... ordered weighted averaging (TVOWA) operator and the triangular vague hybrid aggregation (TVHA) operator are defined for multiple attribute group decision making (MAGDM) ...vague weighted arithmetic ...
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GIS-Based Local Ordered Weighted Averaging: A Case Study in London, Ontario
... GIS-based multicriteria analysis is a procedure for combining a set of criterion maps and associated criterion weights to obtain an overall value for each spatial unit (location) in the study area. Ordered ...
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Banned Items Recognition by OWA Operator
... Ordered Weighted Averaging (OWA) is the central concept of information aggregation, was originally introduced by Yager.[3] OWA facilitates the means of aggregation in solving problems that arises in multi ...
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Neutrosophic Fuzzy MAGDM using Maximal Entropy OWA Weights
... Atanassov [1986, 1989] introduced the concept of intuitionistic fuzzy set (IFS), which is a generalization of the concept of fuzzy set. He also [1994] discussed decision making operators in interval valued intuitionistic ...
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Approaches to Multiple Attribute Decision Making Based on the I-IVIFHCA Operator with Interval-Valued Intuitionistic Fuzzy Information
... fuzzy weighted averaging (IVIFWA) operato, the interval-valued intuitionistic fuzzy ordered weighted averaging (IVIFOWA) operator and the interval-valued intuitionistic fuzzy hybrid ...
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Multi-criteria Group Decision Making with Picture Linguistic Numbers
... arithmetic averaging (PLAA), picture linguistic weighted arithmetic averaging (PLWAA), picture linguistic ordered weighted averaging (PLOWA) and picture linguistic hybrid ...
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Prediction of Seismic Wave Intensity Generated by Bench Blasting Using Intelligence Committee Machines
... and weighted averaging are two common combining methods in the ...Simple Averaging ICM (SAICM), after training the committee constituents, the final output can be attained by averaging the ...
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NON-LINEAR THRESHOLDING DIFFUSION METHOD FOR SPECKLE NOISE REDUCTION IN ULTRASOUND IMAGES
... Noise reduction technique for ultrasound imaging can be classified as compounding and filtering. Compounding techniques involve, a series of US images of the same target which are acquired from different scan direction ...
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The Disambiguation of Nominalizations
... We present a probabilistic algorithm that treats the interpretation task as a dis- ambiguation problem. Our approach relies on the simplifying assumption that the relation of the nominalized head and its modifier noun ...
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Ranking L-R Fuzzy Numbers with Weighted Averaging Based on Levels
... The fuzzy number defuzzication method with weighted averaging based on levels has been proposed in [20]. This parameterized defuzzication can be used as a crisp approximation with respect to a fuzzy ...
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A new assessment method of new energy in regional sustainable development based on hesitant fuzzy information
... Originality/value: This paper describes in detail in evaluating the role of new energy in region sustainable development. And a new score function is proposed with hesitant fuzzy information, that is, the idea of ...
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FINANCING SELECTION METHOD IN DISCIPLINE EVALUATION USING A WEIGHTED INDUCED MODEL
... a weighted induced aggregation approach for decision- making problem concerning fi nancing selection with complex uncertainty in term of intuitionistic linguistic (IL) ...the weighted induced approach, ...
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Averaging and control of nonlinear systems
... In addition to the above challenges of underactuated nonlinear control systems, biomimetic and biome- chanical locomotive control systems have their unique difficulties when compared to canonical underac- tuated ...
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Model Averaging by Stacking
... model averaging estimation procedure, based on a stacked OLS estimator across models, implementable on cross-sectional, panel, as well as time se- ries ...model averaging ex-ante in a single step, optimally ...
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Application of the Value Averaging Investment Method on the US Stock Market
... cost averaging, the most important diff erence is the possibility of selling ...value averaging mechanism will induce the investor to sell the ...cost averaging. As with dollar cost averaging, ...
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Model averaging in economics
... constructed weighted averages of OLS coefficients and found that some were fairly stable across ...model averaging and growth are Fern´andez et ...Bayesian Averaging of Classical Estimates ...model ...
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Unimodular Gravity and Averaging
... the averaging pro- blem the Einstein FE (EFE) on cosmological scales with a continuous distribution of cosmological matter are mo- dified by appropriate gravitational correlation (correction) terms ...spacetime ...
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Averaging and rates of averaging for uniform families of deterministic fast slow skew product systems
... For the Benedicks-Carleson parameters, the method in [15, 16] is the approach of [2] and we can apply Remark 4.5. In the general case, a different method ex- ploiting negative Schwarzian derivative and Koebe spaces [17, ...
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