基于模糊神经网络的数字资源服务绩效评价研究

doi:10.3976/j.issn.1002-4026.2013.06.012

J4 ›› 2013, Vol. 26 ›› Issue (6): 51-56.doi: 10.3976/j.issn.1002-4026.2013.06.012

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Fuzzy neural network based evaluation for digital resources service performance

ZHU Shi-Wei- , JU Mei-Long, YU Jun-Feng, WEI Mo-Ji, WANG Lei

Information Institute, Shandong Academy of Sciences, Jinan 250014, China

Received:2013-07-26 Published:2013-12-20 Online:2013-12-20

Abstract

Abstract:

We construct a fuzzy neural network (FNN) based evaluation model with twostage evaluation method for some negatives in the existing eresources performance evaluation methods. We further acquire the evaluation value for eresources service performance. It is compared with the expected value. Experimental results demonstrate that the accuracy of our model is 83.7%.

Key words: fuzzy logic, BP neural network, digital resources, fuzzy neural network, performance evaluation

CLC Number:

TP391

ZHU Shi-Wei- , JU Mei-Long, YU Jun-Feng, WEI Mo-Ji, WANG Lei. Fuzzy neural network based evaluation for digital resources service performance[J].J4, 2013, 26(6): 51-56.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits third parties to freely share (i.e., copy and redistribute the material in any medium or format) and adapt (i.e., remix, transform, or build upon the material) the articles published in this journal, provided that appropriate credit is given, a link to the license is provided, and any changes made are indicated. The material may not be used for commercial purposes. For details of the CC BY-NC 4.0 license, please visit: https://creativecommons.org/licenses/by-nc/4.0

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Fuzzy neural network based evaluation for digital resources service performance

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