Research of Performance Assessment Methods with Simulation Grid System Based on Grey Cluster

Fu, Yanfang; Geng, Zhaoyang

doi:10.1109/cise.2009.5364422

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…ce . ss (ARP) [1] [2][3] [4], hamming distance method [5], prmclple component analysis (PCA) [6],grey cluster assessment [7] [8], and fuzzy comprehensive evaluation [9],…”

Section: Introductionmentioning

confidence: 99%

Evaluating the credibility of the C3I information network simulation based on fuzzy AHP

Zhang

Bai

et al. 2013

2013 IEEE 4th International Conference on Software Engineering and Service Science

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Abs�ract � The evaluation of a simulation model's credibility etc. IS a hot Issue m present research of simulation Furthermore the H . credibility evaluation on the information net�ork simulatio ' n of ow ever, It h � s alw � ys been the . st � ess . and difficulty of the command_control equipment is an important part to build ? ur res : arch to mv . estlgat . e the s11ll iianty between the and evaluate the information network's simulation model � nformat � on network s11ll ulatmg model and the C3I prototype through simulation experiment. also a critical challenge for us to l � form � tlOn network, i.e., how to analyze and evaluate the �valuate . the credibility of command-control equipment sImulatIOn system's credibility. All is due to that only when mformatlOn network simulation. On the basis of the analysis of the correctness and high credibility of the simulation have the comman�-control equi�ment information network's system been assured, the outcome of the simulating is of value and structure, this paper e�tabhshes a half-real simulation model of a significance, and the simulation system is life-force. This paper co . mmand-control eqUlp� ent netwo�k, . employs the Analytical firstly establishes a half-real simulation model of a C3I Hierarchy Process to bUild up the mdlcator set that affect the . fi . evaluation of the simulation credibility, and further figures out m ormation network, then em � lo � s the Analytical Hie � a � c�y the weight of each indicator, then upbuilds a grey model of Process . (AHP) to set up the mdlcator set of . the credIbIlIty evaluation on simulation's credibility on the ground of putting evaluatIOn, and . finally us � s the fuzzy evaluatmg method to forward positive ' negative ideal comparatively standard, to mak � . a . synthetIc evaluatIOn and analysis of its simulation make a synthetic evaluation and analysis of its simulation credIbIlIty. credibility.Finally, the method's feasibility and validity are verified by citing and analyzing some practical examples.

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“…ce . ss (ARP) [1] [2][3] [4], hamming distance method [5], prmclple component analysis (PCA) [6],grey cluster assessment [7] [8], and fuzzy comprehensive evaluation [9],…”

Section: Introductionmentioning

confidence: 99%

Evaluating the credibility of the C3I information network simulation based on fuzzy AHP

Zhang

Bai

et al. 2013

2013 IEEE 4th International Conference on Software Engineering and Service Science

View full text Add to dashboard Cite

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Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation

Yue

et al. 2012

2012 IEEE International Systems Conference SysCon 2012

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Simulation-based comprehensive performance assessment of precision guided system

Chao

Chen

Wang

et al. 2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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Research of Performance Assessment Methods with Simulation Grid System Based on Grey Cluster

Cited by 3 publications

References 6 publications

Evaluating the credibility of the C3I information network simulation based on fuzzy AHP

Evaluating the credibility of the C3I information network simulation based on fuzzy AHP

Fuzzy comprehensive approach based on AHP and entropy combination weight for pipeline leak detection system performance evaluation

Simulation-based comprehensive performance assessment of precision guided system

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