Weight function ≈ Weight function
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Global WASF-GA: An Evolutionary Algorithm in Multiobjective Optimization to Approximate the Whole Pareto Optimal Front Open
In this article, we propose a new evolutionary algorithm for multiobjective optimization called Global WASF-GA ( global weighting achievement scalarizing function genetic algorithm), which falls within the aggregation-based evolutionary al…
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Electrical Vehicle Path Tracking Based Model Predictive Control With a Laguerre Function and Exponential Weight Open
Model predictive control (MPC) is advantageous for designing an electrical vehicle path-tracking controller, but the high computational complexity, mathematical problem, and parameterization challenge adversely affect the control performan…
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Three-dimensional thermal weight function method for the interface crack problems in bimaterial structures under a transient thermal loading Open
Different from previous two-dimensional thermal weight function (TWF) method, a three-dimensional (3D) TWF method is proposed for solving elliptical interface crack problems in bimaterial structures under a transient thermal loading. The p…
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Weighted Evidence Combination Based on Distance of Evidence and Entropy Function Open
Conflict management in Dempster-Shafer theory (D-S theory) is a hot topic in information fusion. In this paper, a new weighted evidence combination on the basis of the distance between evidence and entropy function is presented. The propos…
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New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems Open
The present study introduces a decision-making approach with the combined compromise solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method based on proposed divergence measures and score function. The aim o…
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An Extended Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Maximizing Deviation Method Based on Integrated Weight Measure for Single-Valued Neutrosophic Sets Open
A single-valued neutrosophic set (SVNS) is a special case of a neutrosophic set which is characterized by a truth, indeterminacy, and falsity membership function, each of which lies in the standard interval of [0, 1]. This paper presents a…
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Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference Open
Dempster-Shafer evidence theory can handle imprecise and unknown information, which has attracted many people. In most cases, the mass function can be translated into the probability, which is useful to expand the applications of the D-S e…
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A dynamic two-dimensional (D2D) weight-based map-matching algorithm Open
Existing map-Matching (MM) algorithms primarily localize positioning fixes along the centerline of a road and have largely ignored road width as an input. Consequently, vehicle lane-level localization, which is essential for stringent Inte…
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Evaluation of urban green transportation planning based on central point triangle whiten weight function and entropy-AHP Open
A new method based on the central point triangle whiten weight function and entropy-AHP is proposed to evaluate the urban green transportation planning. It combines the advantages of both gray evaluation method and entropy-AHP, and takes t…
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Equivalent Property of a Hilbert-Type Integral Inequality Related to the Beta Function in the Whole Plane Open
By means of the technique of real analysis and the weight functions, a few equivalent statements of a Hilbert-type integral inequality with the nonhomogeneous kernel in the whole plane are obtained. The constant factor related to the beta …
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On the evaluation of the stress intensity factor in calving models using linear elastic fracture mechanics Open
We investigate the appropriateness of calving or crevasse models from the literature using linear elastic fracture mechanics (LEFM). To this end, we compare LEFM model-predicted stress intensity factors (SIFs) against numerically computed …
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DYNAMIC FUZZY MULTIPLE CRITERIA DECISION MAKING FOR PERFORMANCE EVALUATION Open
The paper proposes a dynamic fuzzy multiple criteria decision making (DFMCDM) method. The method considers the integrated weight of the decision makers with the subjective and objective preference and the effect of time weight. In the prop…
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Midpoint Inequalities in Fractional Calculus Defined Using Positive Weighted Symmetry Function Kernels Open
The aim of our study is to establish, for convex functions on an interval, a midpoint version of the fractional HHF type inequality. The corresponding fractional integral has a symmetric weight function composed with an increasing function…
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Not All Unlabeled Data are Equal: Learning to Weight Data in\n Semi-supervised Learning Open
Existing semi-supervised learning (SSL) algorithms use a single weight to\nbalance the loss of labeled and unlabeled examples, i.e., all unlabeled\nexamples are equally weighted. But not all unlabeled data are equal. In this\npaper we stud…
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Weighted Kolmogorov Smirnov testing: an alternative for Gene Set Enrichment Analysis Open
Gene Set Enrichment Analysis (GSEA) is a basic tool for genomic data treatment. Its test statistic is based on a cumulated weight function, and its distribution under the null hypothesis is evaluated by Monte-Carlo simulation. Here, it is …
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NEW GENERALIZATIONS IN THE SENSE OF THE WEIGHTED NON-SINGULAR FRACTIONAL INTEGRAL OPERATOR Open
In this paper, we propose a new fractional operator which is based on the weight function for Atangana–Baleanu [Formula: see text]-fractional operators. A motivating characteristic is the generalization of classical variants within the wei…
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Construction mechanism of whitenization weight function and its application in grey clustering evaluation Open
The clustering evaluation can be used to scientifically classify the objects to be evaluated according to the information aggregation of various evaluation rules. In grey weighted clustering evaluation, the index clustering rule relies on …
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A novel weighted evidence combination rule based on improved entropy function with a diagnosis application Open
Managing conflict in Dempster–Shafer theory is a popular topic. In this article, we propose a novel weighted evidence combination rule based on improved entropy function. This newly proposed approach can be mainly divided into two steps. F…
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Maximum entropy analytic continuation for spectral functions with nonpositive spectral weight Open
Information about the pairing mechanism for superconductivity is contained in\nthe spectral weight for the anomalous (Gorkov) Green function. In the most\ngeneral case, this spectral weight can change sign on the positive real axis or\neve…
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A Weight Possibilistic Fuzzy C-Means Clustering Algorithm Open
Fuzzy C-means (FCM) is an important clustering algorithm with broad applications such as retail market data analysis, network monitoring, web usage mining, and stock market prediction. Especially, parameters in FCM have influence on cluste…
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Geometric Construction of Eighth‐Order Optimal Families of Ostrowski’s Method Open
Based on well‐known fourth‐order Ostrowski’s method, we proposed many new interesting optimal families of eighth‐order multipoint methods without memory for obtaining simple roots. Its geometric construction consists in approximating at z …
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A Hilbert-type integral inequality in the whole plane with a non-homogeneous kernel and a few parameters Open
By using the way of real analysis and estimating the weight functions, we build a new Hilbert-type integral inequality in the whole plane with a non-homogeneous kernel and a few parameters. The constant factor related to the beta function …
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Spatial Weight Determination of GSTAR(1;1) Model by Using Kernel Function Open
The stochastic process models with the index parameters such as time and location were investigated in this paper. The model used was GSTAR (1;1), and it was applied to the Gamma ray log data. The important thing to be assessed in this mod…
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Bound state equation for the Nakanishi weight function Open
The bound state Bethe-Salpeter amplitude was expressed by Nakanishi using a\ntwo-dimensional integral representation, in terms of a smooth weight function\n$g$, which carries the detailed dynamical information. A similar, but\none-dimensio…
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A new leveling method without the direct use of crossover data and its application in marine magnetic surveys: weighted spatial averaging and temporal filtering Open
The author has developed a new leveling method for use with magnetic survey data, which consists of adjusting each measurement using the weighted spatial average of its neighboring data and subsequent temporal filtering. There are two key …
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Tomographic reconstruction of light field PIV based on a backward ray-tracing technique Open
The calculation of the weight matrix is one of the key steps of the tomographic reconstruction in the light field particle image velocimetry (light field PIV) system. At present, the existing calculation method of the weight matrix in ligh…
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DEVELOPMENT OF A TRANSFER FUNCTION FOR WEIGHT PREDICTION OF LIVE BROILER CHICKEN USING MACHINE VISION Open
The objective of this study was to process digital images to investigate the possibility of broilers body weight estimation based on the dynamic model. For this experiment, 2440 images were recorded by a top-view camera from 30 birds. An e…
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Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning Open
Existing semi-supervised learning (SSL) algorithms use a single weight to balance the loss of labeled and unlabeled examples, i.e., all unlabeled examples are equally weighted. But not all unlabeled data are equal. In this paper we study h…
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Image edge detection method based on anisotropic diffusion and total variation models Open
In this study, a novel image edge detection technique based on the combination of total variation (TV) and anisotropic diffusion (PM) models is presented. In the proposed technique, the authors first use the gradient magnitude to eliminate…
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On a new Hilbert-type integral inequality involving the upper limit functions Open
By applying the weight functions and the idea of introduced parameters we give a new Hilbert-type integral inequality involving the upper limit functions and the beta and gamma functions. We consider equivalent statements of the best possi…