Grey Evaluation Method of Knowledge Management Capability

Zheng, Wenshan; Hu, Yangcheng

doi:10.1109/wkdd.2009.205

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…All mathematical models (Fan et al, 2008, Zheng andHu, 2009) for KMC evaluation, focus on numerical variables as input data and relay on mathematical formulas. Existing models try to make this evaluation very precise by modifying mathematics models.…”

Section: Discussionmentioning

confidence: 99%

Knowledge Management Capabilities Rubrics

Muhammad¹

2011

American Journal of Economics and Business Administration

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Problem statement:Recently researchers discerned the vitality and importance of Knowledge Management Capabilities (KMC) evaluation in organizations. In fact evaluation of KMC helps to prevent failure in Knowledge Management (KM) projects. Approach: One of the most popular methods in the phase of evaluating KMC is Fuzzy method which evaluates seven attributes of KMC. Fuzzy needs KM experts to give their opinion about these attributes as input data. However in some organizations these experts are not available. Results: Therefore in this study a rubric matrix is developed as an assessment tool with ordered rank (very high, medium and very low) of descriptive characteristics of criteria (seven attributes) that organizations wish to evaluate. Conclusion: This rubric is applicable for members of an organization which are not familiar completely with KMC and also will be maintained by analyzing and surveying many different researches.

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Section: Discussionmentioning

confidence: 99%

Knowledge Management Capabilities Rubrics

Muhammad¹

2011

American Journal of Economics and Business Administration

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“…Fuzzy comprehensive assessment (FCA) can process ambiguous information with quantitative mathematical expressions (Ruan et al 2005). Grey evaluation applies grey relational analysis (GRA) to assessment modeling with incomplete data (Zheng and Hu 2009). However, these classical methods are mainly based on subjective experience and expert knowledge.…”

Section: Introductionmentioning

confidence: 99%

Improved Bayesian Network-Based Risk Model and Its Application in Disaster Risk Assessment

Mei

Zhang

2018

Int J Disaster Risk Sci

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The application of Bayesian network (BN) theory in risk assessment is an emerging trend. But in cases where data are incomplete and variables are mutually related, its application is restricted. To overcome these problems, an improved BN assessment model with parameter retrieval and decorrelation ability is proposed. First, multivariate nonlinear planning is applied to the feedback error learning of parameters. A genetic algorithm is used to learn the probability distribution of nodes that lack quantitative data. Then, based on an improved grey relational analysis that considers the correlation of variation rate, the optimal weight that characterizes the correlation is calculated and the weighted BN is improved for decorrelation. An improved risk assessment model based on the weighted BN then is built. An assessment of sea ice disaster shows that the model can be applied for risk assessment with incomplete data and variable correlation.

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“…Currently, many evaluation models, such as fuzzy mathematics [1], neural network [2] and grey theory [3] have been put forward, and a lot of research achievements have been acquired. Especially the research on fuzzy evaluation method has attracted widespread concern.…”

Section: Introductionmentioning

confidence: 99%

Security Evaluation for Wireless Network Based on Fuzzy-AHP with Variable Weight

Zhang

Huang

Xiao

2010

2010 Second International Conference on Networks Security, Wireless Communications and Trusted Computing

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This paper proposes a wireless network security evaluation method based on Fuzzy-AHP (Analytic Hierarchy Process) with variable weight. In this paper, we first design the evaluation index system based on characteristics of wireless networks, and then analyze each uncertainty measured by the Fuzzy-AHP method, and introduce variable weight theory into Fuzzy-AHP method to address the difficulty of weight decision, overcome the subjectivity of weight decision to some extent and improve the accuracy of evaluation. It is shown in the case study that the method is effective and practical to evaluate security for wireless networks.

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Grey Evaluation Method of Knowledge Management Capability

Cited by 7 publications

References 17 publications

Knowledge Management Capabilities Rubrics

Knowledge Management Capabilities Rubrics

Improved Bayesian Network-Based Risk Model and Its Application in Disaster Risk Assessment

Security Evaluation for Wireless Network Based on Fuzzy-AHP with Variable Weight

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