**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**1655

# Search results for: Weighted average

##### 1655 The Intuitionistic Fuzzy Ordered Weighted Averaging-Weighted Average Operator and its Application in Financial Decision Making

**Authors:**
Shouzhen Zeng

**Abstract:**

**Keywords:**
Intuitionistic fuzzy numbers,
Weighted average,
OWA operator,
Financial decision making

##### 1654 An Evaluation of Average Run Length of MaxEWMA and MaxGWMA Control Charts

**Authors:**
S. Phanyaem

**Abstract:**

Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shift in the mean of parameter of distributions in quality control. The objective of this paper is to compare the efficiency of control chart to detect an increases in the mean of a process. In particular, we compared the Maximum Exponentially Weighted Moving Average (MaxEWMA) and Maximum Generally Weighted Moving Average (MaxGWMA) control charts when the observations are Exponential distribution. The criteria for evaluate the performance of control chart is called, the Average Run Length (ARL). The result of comparison show that in the case of process is small sample size, the MaxEWMA control chart is more efficiency to detect shift in the process mean than MaxGWMA control chart. For the case of large sample size, the MaxEWMA control chart is more sensitive to detect small shift in the process mean than MaxGWMA control chart, and when the process is a large shift in mean, the MaxGWMA control chart is more sensitive to detect mean shift than MaxEWMA control chart.

**Keywords:**
Maximum Exponentially Weighted Moving Average,
Maximum General Weighted Moving Average,
Average Run Length.

##### 1653 Generalised Slant Weighted Toeplitz Operator

**Authors:**
S. C. Arora,
Ritu Kathuria

**Abstract:**

**Keywords:**
Slant weighted Toeplitz operator,
weighted multiplicationoperator.

##### 1652 Optimal Design for SARMA(P,Q)L Process of EWMA Control Chart

**Authors:**
Y. Areepong

**Abstract:**

The main goal of this paper is to study Statistical Process Control (SPC) with Exponentially Weighted Moving Average (EWMA) control chart when observations are serially-correlated. The characteristic of control chart is Average Run Length (ARL) which is the average number of samples taken before an action signal is given. Ideally, an acceptable ARL of in-control process should be enough large, so-called (ARL_{0}). Otherwise it should be small when the process is out-of-control, so-called Average of Delay Time (ARL_{1}) or a mean of true alarm. We find explicit formulas of ARL for EWMA control chart for Seasonal Autoregressive and Moving Average processes (SARMA) with Exponential white noise. The results of ARL obtained from explicit formula and Integral equation are in good agreement. In particular, this formulas for evaluating (ARL_{0}) and (ARL_{1}) be able to get a set of optimal parameters which depend on smoothing parameter (λ) and width of control limit (H) for designing EWMA chart with minimum of (ARL_{1}).

**Keywords:**
Average Run Length1,
Optimal parameters,
Exponentially Weighted Moving Average (EWMA) control chart.

##### 1651 An EWMA p Chart Based On Improved Square Root Transformation

**Authors:**
S. Sukparungsee

**Abstract:**

Generally, the traditional Shewhart p chart has been developed by for charting the binomial data. This chart has been developed using the normal approximation with condition as low defect level and the small to moderate sample size. In real applications, however, are away from these assumptions due to skewness in the exact distribution. In this paper, a modified Exponentially Weighted Moving Average (EWMA) control chat for detecting a change in binomial data by improving square root transformations, namely ISRT p EWMA control chart. The numerical results show that ISRT p EWMA chart is superior to ISRT p chart for small to moderate shifts, otherwise, the latter is better for large shifts.

**Keywords:**
Number of defects,
Exponentially Weighted Moving Average,
Average Run Length,
Square root transformations.

##### 1650 Weighted Composition Operators Acting between Kind of Weighted Bergman-Type Spaces and the Bers-Type Space

**Authors:**
Amnah E. Shammahy

**Abstract:**

In this paper, we study the boundedness and compactness of the weighted composition operator W_{u,φ, }which is induced by an holomorphic function *u* and holomorphic self-map *φ*, acting between the *N _{K}*-space and the Bers-type space H

^{∞}

_{α}on the unit disk.

**Keywords:**
Weighted composition operators,
NK-space,
Bers-type space.

##### 1649 Dependent Weighted Aggregation Operators of Hesitant Fuzzy Numbers

**Authors:**
Jing Liu

**Abstract:**

In this paper, motivated by the ideas of dependent weighted aggregation operators, we develop some new hesitant fuzzy dependent weighted aggregation operators to aggregate the input arguments taking the form of hesitant fuzzy numbers rather than exact numbers, or intervals. In fact, we propose three hesitant fuzzy dependent weighted averaging(HFDWA) operators, and three hesitant fuzzy dependent weighted geometric(HFDWG) operators based on different weight vectors, and the most prominent characteristic of these operators is that the associated weights only depend on the aggregated hesitant fuzzy numbers and can relieve the influence of unfair hesitant fuzzy numbers on the aggregated results by assigning low weights to those “false” and “biased” ones. Some examples are given to illustrated the efficiency of the proposed operators.

**Keywords:**
Hesitant fuzzy numbers,
hesitant fuzzy dependent weighted averaging(HFDWA) operators,
hesitant fuzzy dependent weighted geometric(HFDWG) operators.

##### 1648 Breast Cancer Survivability Prediction via Classifier Ensemble

**Authors:**
Mohamed Al-Badrashiny,
Abdelghani Bellaachia

**Abstract:**

**Keywords:**
Classifier ensemble,
breast cancer survivability,
data
mining,
SEER.

##### 1647 Financing Decision and Productivity Growth for the Venture Capital Industry Using High-Order Fuzzy Time Series

**Authors:**
Shang-En Yu

**Abstract:**

Human society, there are many uncertainties, such as economic growth rate forecast of the financial crisis, many scholars have, since the the Song Chissom two scholars in 1993 the concept of the so-called fuzzy time series (Fuzzy Time Series)different mode to deal with these problems, a previous study, however, usually does not consider the relevant variables selected and fuzzy process based solely on subjective opinions the fuzzy semantic discrete, so can not objectively reflect the characteristics of the data set, in addition to carrying outforecasts are often fuzzy rules as equally important, failed to consider the importance of each fuzzy rule. For these reasons, the variable selection (Factor Selection) through self-organizing map (Self-Organizing Map, SOM) and proposed high-end weighted multivariate fuzzy time series model based on fuzzy neural network (Fuzzy-BPN), and using the the sequential weighted average operator (Ordered Weighted Averaging operator, OWA) weighted prediction. Therefore, in order to verify the proposed method, the Taiwan stock exchange (Taiwan Stock Exchange Corporation) Taiwan Weighted Stock Index (Taiwan Stock Exchange Capitalization Weighted Stock Index, TAIEX) as experimental forecast target, in order to filter the appropriate variables in the experiment Finally, included in other studies in recent years mode in conjunction with this study, the results showed that the predictive ability of this study further improve.

**Keywords:**
Heterogeneity,
residential mortgage loans,
foreclosure.

##### 1646 The Relative Efficiency of Parameter Estimation in Linear Weighted Regression

**Authors:**
Baoguang Tian,
Nan Chen

**Abstract:**

A new relative efficiency in linear model in reference is instructed into the linear weighted regression, and its upper and lower bound are proposed. In the linear weighted regression model, for the best linear unbiased estimation of mean matrix respect to the least-squares estimation, two new relative efficiencies are given, and their upper and lower bounds are also studied.

**Keywords:**
Linear weighted regression,
Relative efficiency,
Mean matrix,
Trace.

##### 1645 An Effective Algorithm for Minimum Weighted Vertex Cover Problem

**Authors:**
S. Balaji,
V. Swaminathan,
K. Kannan

**Abstract:**

The Minimum Weighted Vertex Cover (MWVC) problem is a classic graph optimization NP - complete problem. Given an undirected graph G = (V, E) and weighting function defined on the vertex set, the minimum weighted vertex cover problem is to find a vertex set S V whose total weight is minimum subject to every edge of G has at least one end point in S. In this paper an effective algorithm, called Support Ratio Algorithm (SRA), is designed to find the minimum weighted vertex cover of a graph. Computational experiments are designed and conducted to study the performance of our proposed algorithm. Extensive simulation results show that the SRA can yield better solutions than other existing algorithms found in the literature for solving the minimum vertex cover problem.

**Keywords:**
Weighted vertex cover,
vertex support,
approximation algorithms,
NP-complete problem.

##### 1644 Sample-Weighted Fuzzy Clustering with Regularizations

**Authors:**
Miin-Shen Yang,
Yee-Shan Pan

**Abstract:**

Although there have been many researches in cluster analysis to consider on feature weights, little effort is made on sample weights. Recently, Yu et al. (2011) considered a probability distribution over a data set to represent its sample weights and then proposed sample-weighted clustering algorithms. In this paper, we give a sample-weighted version of generalized fuzzy clustering regularization (GFCR), called the sample-weighted GFCR (SW-GFCR). Some experiments are considered. These experimental results and comparisons demonstrate that the proposed SW-GFCR is more effective than the most clustering algorithms.

**Keywords:**
Clustering; fuzzy c-means,
fuzzy clustering,
sample
weights,
regularization.

##### 1643 CFD Modeling of a Radiator Axial Fan for Air Flow Distribution

**Authors:**
S. Jain,
Y. Deshpande

**Abstract:**

**Keywords:**
Computational fluid dynamics (CFD),
acid pump truck (APT) Tier4 Repower,
axial flow fan,
area weighted average static pressure difference,
and contour plots.

##### 1642 OWA Operators in Generalized Distances

**Authors:**
José M. Merigó,
Anna M. Gil-Lafuente

**Abstract:**

**Keywords:**
Aggregation operators,
Distance measures,
Quasi- OWA operator.

##### 1641 Improved K-Modes for Categorical Clustering Using Weighted Dissimilarity Measure

**Authors:**
S.Aranganayagi,
K.Thangavel

**Abstract:**

K-Modes is an extension of K-Means clustering algorithm, developed to cluster the categorical data, where the mean is replaced by the mode. The similarity measure proposed by Huang is the simple matching or mismatching measure. Weight of attribute values contribute much in clustering; thus in this paper we propose a new weighted dissimilarity measure for K-Modes, based on the ratio of frequency of attribute values in the cluster and in the data set. The new weighted measure is experimented with the data sets obtained from the UCI data repository. The results are compared with K-Modes and K-representative, which show that the new measure generates clusters with high purity.

**Keywords:**
Clustering,
categorical data,
K-Modes,
weighted dissimilarity
measure

##### 1640 Video Quality Control Using a ROI and Two- Component Weighted Metrics

**Authors:**
Petra Heribanová,
Jaroslav Polec,
Michal Martinovič

**Abstract:**

In this paper we propose a new content-weighted method for full reference (FR) video quality control using a region of interest (ROI) and wherein two-component weighted metrics for Deaf People Video Communication. In our approach, an image is partitioned into region of interest and into region "dry-as-dust", then region of interest is partitioned into two parts: edges and background (smooth regions), while the another methods (metrics) combined and weighted three or more parts as edges, edges errors, texture, smooth regions, blur, block distance etc. as we proposed. Using another idea that different image regions from deaf people video communication have different perceptual significance relative to quality. Intensity edges certainly contain considerable image information and are perceptually significant.

**Keywords:**
Video quality assessment,
weighted MSE.

##### 1639 Approximating Maximum Weighted Independent Set Using Vertex Support

**Authors:**
S. Balaji,
V. Swaminathan,
K. Kannan

**Abstract:**

**Keywords:**
weighted independent set,
vertex cover,
vertex support,
heuristic,
NP - hard problem.

##### 1638 A Survey on Metric of Software Cognitive Complexity for OO design

**Authors:**
A.Aloysius,
L. Arockiam

**Abstract:**

**Keywords:**
Software Metrics,
Software Complexity,
Cognitive
Informatics,
Cognitive Complexity,
Software measurement

##### 1637 Attribute Weighted Class Complexity: A New Metric for Measuring Cognitive Complexity of OO Systems

**Authors:**
Dr. L. Arockiam,
A. Aloysius

**Abstract:**

**Keywords:**
Software Complexity,
Attribute Weighted Class Complexity,
Weighted Class Complexity,
Data Type

##### 1636 Using the OWA Operator in the Minkowski Distance

**Authors:**
José M. Merigó,
Anna M. Gil-Lafuente

**Abstract:**

**Keywords:**
Aggregation operators,
Minkowski distance,
OWA
operators,
Selection of strategies.

##### 1635 Variogram Fitting Based on the Wilcoxon Norm

**Authors:**
Hazem Al-Mofleh,
John Daniels,
Joseph McKean

**Abstract:**

**Keywords:**
Non-Linear Wilcoxon,
robust estimation,
Variogram
estimation.

##### 1634 Orthogonal Regression for Nonparametric Estimation of Errors-in-Variables Models

**Authors:**
Anastasiia Yu. Timofeeva

**Abstract:**

Two new algorithms for nonparametric estimation of errors-in-variables models are proposed. The first algorithm is based on penalized regression spline. The spline is represented as a piecewise-linear function and for each linear portion orthogonal regression is estimated. This algorithm is iterative. The second algorithm involves locally weighted regression estimation. When the independent variable is measured with error such estimation is a complex nonlinear optimization problem. The simulation results have shown the advantage of the second algorithm under the assumption that true smoothing parameters values are known. Nevertheless the use of some indexes of fit to smoothing parameters selection gives the similar results and has an oversmoothing effect.

**Keywords:**
Grade point average,
orthogonal regression,
penalized regression spline,
locally weighted regression.

##### 1633 Weighted Harmonic Arnoldi Method for Large Interior Eigenproblems

**Authors:**
Zhengsheng Wang,
Jing Qi,
Chuntao Liu,
Yuanjun Li

**Abstract:**

The harmonic Arnoldi method can be used to find interior eigenpairs of large matrices. However, it has been shown that this method may converge erratically and even may fail to do so. In this paper, we present a new method for computing interior eigenpairs of large nonsymmetric matrices, which is called weighted harmonic Arnoldi method. The implementation of the method has been tested by numerical examples, the results show that the method converges fast and works with high accuracy.

**Keywords:**
Harmonic Arnoldi method,
weighted harmonic Arnoldi method,
eigenpair,
interior eigenproblem,
non symmetric matrix.

##### 1632 Unrelated Parallel Machines Scheduling Problem Using an Ant Colony Optimization Approach

**Authors:**
Y. K. Lin,
H. T. Hsieh,
F. Y. Hsieh

**Abstract:**

**Keywords:**
ant colony optimization,
total weighted tardiness,
unrelated parallel machines.

##### 1631 Subband Adaptive Filter Exploiting Sparsity of System

**Authors:**
Young-Seok Choi

**Abstract:**

**Keywords:**
Subband adaptive filtering,
sparsity constraint,
weighted l1-norm.

##### 1630 Rigid and Non-rigid Registration of Binary Objects using the Weighted Ratio Image

**Authors:**
Panos Kotsas,
Tony Dodd

**Abstract:**

**Keywords:**
rigid and non-rigid body registration,
binary objects

##### 1629 Solving Process Planning, Weighted Earliest Due Date Scheduling and Weighted Due Date Assignment Using Simulated Annealing and Evolutionary Strategies

**Authors:**
Halil Ibrahim Demir,
Abdullah Hulusi Kokcam,
Fuat Simsir,
Özer Uygun

**Abstract:**

Traditionally, three important manufacturing functions which are process planning, scheduling and due-date assignment are performed sequentially and separately. Although there are numerous works on the integration of process planning and scheduling and plenty of works focusing on scheduling with due date assignment, there are only a few works on integrated process planning, scheduling and due-date assignment. Although due-dates are determined without taking into account of weights of the customers in the literature, here weighted due-date assignment is employed to get better performance. Jobs are scheduled according to weighted earliest due date dispatching rule and due dates are determined according to some popular due date assignment methods by taking into account of the weights of each job. Simulated Annealing, Evolutionary Strategies, Random Search, hybrid of Random Search and Simulated Annealing, and hybrid of Random Search and Evolutionary Strategies, are applied as solution techniques. Three important manufacturing functions are integrated step-by-step and higher integration levels are found better. Search meta-heuristics are found to be very useful while improving performance measure.

**Keywords:**
Evolutionary strategies,
hybrid searches,
process planning,
simulated annealing,
weighted due-date assignment,
weighted scheduling.

##### 1628 A Weighted Sum Technique for the Joint Optimization of Performance and Power Consumption in Data Centers

**Authors:**
Samee Ullah Khan,
C.Ardil

**Abstract:**

**Keywords:**
Meta-heuristics,
distributed systems,
adaptive methods,
resource allocation.

##### 1627 Standard Fuzzy Sets for Aircraft Selection using Multiple Criteria Decision Making Analysis

**Authors:**
C. Ardil

**Abstract:**

This study uses two-dimensional standard fuzzy sets to enhance multiple criteria decision-making analysis for passenger aircraft selection, allowing decision-makers to express judgments with uncertain and vague information. Using two-dimensional fuzzy numbers, three decision makers evaluated three aircraft alternatives according to seven decision criteria. A validity analysis based on two-dimensional standard fuzzy weighted geometric (SFWG) and two-dimensional standard fuzzy weighted average (SFGA) operators is conducted to test the proposed approach's robustness and effectiveness in the fuzzy multiple criteria decision making (MCDM) evaluation process.

**Keywords:**
Standard fuzzy sets (SFSs),
aircraft selection,
multiple criteria decision making,
intuitionistic fuzzy sets (IFSs),
SFWG,
SFGA,
MCDM

##### 1626 Iterative Methods for Computing the Weighted Minkowski Inverses of Matrices in Minkowski Space

**Authors:**
Xiaoji Liu,
Yonghui Qin

**Abstract:**

In this note, we consider a family of iterative formula for computing the weighted Minskowski inverses AM,N in Minskowski space, and give two kinds of iterations and the necessary and sufficient conditions of the convergence of iterations.

**Keywords:**
iterative method,
the Minskowski inverse,
A