Battle damage assessment of surface warship formation based on improved gray relational analysis

2017 ◽  
Vol 15 (3) ◽  
pp. 269-278
Author(s):  
Zhuojie Xie ◽  
Yuhui Wang ◽  
Qingxian Wu
Keyword(s):  
Damage Assessment ◽  
Entropy Method ◽  
Relational Model ◽  
Reference Sequence ◽  
Gray Relational Analysis ◽  
Analytic Hierarchy ◽  
Relational Analysis ◽  
Relational Degree ◽  
Battle Damage Assessment ◽  
Pros And Cons

The paper analyzes the pros and cons of classical gray relational analysis on solving multi-target and multi-attribute problems, and presents an improved gray relational model to assess the battle damage of surface warship formations. First, with an entropy method and analytic hierarchy process, the subjective and objective weights of the index attributes are determined, respectively, and then they are combined with the product method to obtain the combined weight. Second, to make full use of the information carried by the index attributes, a polygon area formed by the adjacent points of the reference sequence curve and alternative sequence curve is used as gray relational coefficient. Third, by combining with the combined weight and the gray relational coefficients, an improved gray relational degree is thus determined. Finally, the numerical results illustrate that the battle damage assessment is generally consistent with the assessment results of experts, and the achieved result will provide important information to make a correct decision for carrying out a next strike.

A MPTCP Path Selection Strategy Based on Improved Grey Relational Analysis

2013 ◽  
Vol 401-403 ◽  
pp. 1766-1771 ◽  
Author(s):  
Lan Kou ◽  
Si Rui Chen ◽  
Rui Wang
Keyword(s):  
Transmission Control Protocol ◽  
Path Selection ◽  
Transport Layer ◽  
Reference Sequence ◽  
Gray Relational Analysis ◽  
Selection Strategy ◽  
Relational Analysis ◽  
Multiple Paths ◽  
End To End ◽  
Grey Relational

Multipath Transmission Control Protocol (MPTCP), a transport layer protocol, proposed by the IETF working group in 2009, can provide multipath communication end to end. It also can improve the utilization of network resources and network transmission reliability. However, that how to select multiple paths to improve the end to end overall throughput, and how to avoid the throughput declining by the performance difference, become the focus of this study. We propose a path selection strategy based on improved gray relational analysis, and set the optimal values of the QoS parameters for the selected paths as the reference sequence. According to the value of improved grey relational degree (IGRD) which is compared with reference sequence, we select the paths with better performance, smaller difference for transmission.

scholarly journals Multiple Channel Integration Quality Assessment Method Using NARX

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Xiaolei Wang ◽  
Yingzhao He
Keyword(s):  
Purchase Intention ◽  
Evaluation Method ◽  
Assessment Method ◽  
Entropy Method ◽  
Gray Relational Analysis ◽  
Standard Samples ◽  
Multiple Channel ◽  
Channel Integration ◽  
Relational Degree ◽  
Narx Model

To improve the accuracy of the multiple channel integration quality (MCIQ) evaluation, this paper proposes a comprehensive evaluation method using the nonlinear autoregressive exogenous model (NARX) and constructs an index system. First, the entropy method is used to determine the objective weight of each indicator. The indicators used in this paper are process consistency, information consistency, emotional value, procedural value, service structure transparency, online result value, business relevance, and online purchase intention. Second, an improved gray relational analysis (GRA) algorithm is used to obtain the comprehensive gray relational degree between the above eight indicators’ standard samples and the tested samples. Then, this study uses the dataset preprocessed with the GRA algorithm for training the NARX model. Then, this study uses the trained model to evaluate the quality of multiple channel integration comprehensively. Next, this study uses standardized methods to quantify the evaluation results to provide new ideas and theoretical guidance for teaching traditional retailers to use the advantages of multiple channels to expand their online business. This paper uses 50,000 consecutive samples of a product for 3 months as a dataset in the experimental part. Through the GRA method and the NARX model, the comprehensive gray relational degree between the test sample and the ideal sample is obtained, and the results are quantified. Experiments show that, compared with the GRA method, this paper’s method has a higher degree of fit between the output value and the target value.

scholarly journals A Calibration-Free Method Based on Grey Relational Analysis for Heterogeneous Smartphones in Fingerprint-Based Indoor Positioning

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3885 ◽  
Author(s):  
Shuai Zhang ◽  
Jiming Guo ◽  
Nianxue Luo ◽  
Di Zhang ◽  
Wei Wang ◽  
...  
Keyword(s):  
Grey Relational Analysis ◽  
Indoor Positioning ◽  
Test Point ◽  
Reference Sequence ◽  
Fingerprint Matching ◽  
Relational Analysis ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Grey Relational Coefficient ◽  
Grey Relational

The fingerprint method has been widely adopted in Wi-Fi indoor positioning because of its advantage in non-line-of-sight channels between access points (APs) and mobile users. However, the received signal strength (RSS) during the fingerprint positioning process generally varies due to the dissimilar hardware configurations of heterogeneous smartphones. This difference may degrade the accuracy of fingerprint matching between fingerprint and test data. Thus, this paper puts forward a fingerprint method based on grey relational analysis (GRA) to approach the challenge of heterogeneous smartphones and to improve positioning accuracy. Initially, the grey relational coefficient (GRC) between the RSS comparability sequence of each reference point (RP) and the RSS reference sequence of the test point (TP) is calculated. Subsequently, the grey relational degree (GRD) between each RP and TP is determined on the basis of GRC, and the K most relational RPs are selected in accordance with the value of GRD. Finally, the user location is determined by weighting the K most relational RPs that correspond to the coordinates. The main advantage of this GRA method is that it does not require device calibration when handling heterogeneous smartphone problems. We further carry out extensive experiments using heterogeneous Android smartphones in an office environment to verify the positioning performance of the proposed method. Experimental results indicate that the proposed method outperforms the existing ones no matter whether heterogeneous smartphones are used.

The Risk Measurement of the Space Launch Test Project Based on Gray Relational Analysis

2013 ◽  
Vol 718-720 ◽  
pp. 686-691
Author(s):  
Yao Dong Le ◽  
Fa Jie Wei ◽  
An Ying Liu
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Risk Measurement ◽  
Gray Relational Analysis ◽  
Relational Analysis ◽  
Space Launch ◽  
Relational Degree ◽  
And Control ◽  
Test Project

The special nature of space launch test projects requires ground personnel to reduce the occurring probability of risk and ensure the success of the projects to the greatest extents. Hence how to accurately identify, measure, control and manage risk through effective measurement is currently a focus of risk management for space launch test projects. This paper identifies risk factors in all the stages of the space launch test projects, and analyzes and sorts them based on the gray relational degree. The results offer advices for ground personnel to make more precisely identification and control of risk.

scholarly journals Gray Relational Analysis Optimization for Coalbed Methane Blocks in Complex Conditions Based on a Best Worst and Entropy Method

2019 ◽  
Vol 9 (23) ◽  
pp. 5033
Author(s):  
Zhao ◽  
Kang ◽  
Guo ◽  
Zhang ◽  
Li
Keyword(s):  
System Theory ◽  
Optimization Model ◽  
Coalbed Methane ◽  
Entropy Method ◽  
Gray Relational Analysis ◽  
Multi Index ◽  
Gray System Theory ◽  
Gray System ◽  
Relational Analysis ◽  
Geological Conditions

The uncertainty and complexity of the geological parameters of coalbed methane (CBM) reservoirs may result in the assignment of atypical exact values to a whole block. Therefore, the influence of different resources and productivity characterization indices on the development of CBM blocks was analyzed systematically in this research. Furthermore, this research reported an interval-number index evaluation system and a gray relational analysis optimization model for CBM development. The weights of the evaluation indices were determined by combining the entropy method and the best worst method (BWM) with the objective deviation law of the data and the subjective experience of experts. Based on the gray system theory, a multi-index gray relational analysis optimization model was established to evaluate the interval values and optimize the development potential of CBM blocks with complex geological conditions. The results show that the order of importance of the eight resources and reservoir evaluation indices, from highest to lowest, is permeability, reservoir pressure gradient, gas content, reservoir thickness, reservoir depth, critical reservoir ratio, Young’s modulus, and reservoir temperature. The order of the target blocks, from most to least optimal, is the Sanjiao block, Fanzhuang-Zhengzhuang block, Daning-Jixian block, Gujiao block, and Fengrun block. The evaluation results are consistent with actual conditions. Thus, the multi-index gray relation analysis optimization model, on account of the gray system theory, is feasible for the development evaluation of CBM blocks under complex conditions. This model is suitable for the CBM blocks in the range of 547 km2~675 km2. When using this model, the index values must be representative and accurate.

scholarly journals Hospital Location Selection with Grey System Theory

2016 ◽  
Vol 5 (1) ◽  
pp. 66 ◽  
Author(s):  
Halil Şen ◽  
Mehmet Fatih Demiral
Keyword(s):  
System Theory ◽  
Interdisciplinary Approach ◽  
Grey System Theory ◽  
Gray Relational Analysis ◽  
Grey System ◽  
Strategic Decisions ◽  
Analytic Hierarchy ◽  
Location Selection ◽  
Relational Analysis ◽  
Strategic Issue

The facility location selection is one of the most important decisions for investors and entrepreneurs. It is a strategic issue besides often decides the fate of such a facility. In this kind of strategic decisions, decision makers should take into account various objectives and criteria and the process of location selection is inherently complicated. This paper considers the hospital location selection for a new public hospital by using Gray Relational Analysis (GRA) and Analytic Hierarchy Process (AHP). Gray Relational Analysis have been developed based on Grey System Theory. Grey System Theory is an interdisciplinary approach which first quantified by Deng in the early 1980’s as an alternative method in creating the uncertainty have been proposed. The basic idea of emergence is to estimate the behavior of the systems which cannot be overcome by the stochastic or fuzzy methods with limited number of data. In this paper, the weights of criteria have been determined by using Analytic Hierarchic Process, then the grey relational degrees have been calculated for each alternative location.

The Application of Grey Relational Analysis Model in the Performance Evaluation of Agricultural Product Logistics Companies

2014 ◽  
Vol 687-691 ◽  
pp. 5165-5168 ◽  
Author(s):  
Hang Yu ◽  
Kai Zhang
Keyword(s):  
Comprehensive Evaluation ◽  
Relational Model ◽  
Gray Relational Analysis ◽  
Agricultural Product ◽  
Analysis Model ◽  
Logistics Enterprise ◽  
Relational Analysis ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation

In this paper, the use of gray relational analysis theory and methods, Evaluation for agricultural logistics and enterprise performance evaluated. The results obtained using the comprehensive evaluation can provide an objective for the logistics enterprise managers, rational basis for decision making. Innovation of this paper is to use gray relational model to widen, the calculation methods of gray correlation degree of improvement.

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