Study on the Trust Evaluation Approach Based on Cloud Model

Zhang, Shibin; Xu, Chunxiang

doi:10.3724/sp.j.1016.2013.00422

Cited by 28 publications

(18 citation statements)

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“…Using the regression analysis algorithm of SPSS, the relational model between the exact distress degree (Y) and the expected distress degree (D) is established, as formula (19). The exact distress degree (Y) is dependent variables; the expected distress degree (D) is independent variables.…”

Section: Case Verificationmentioning

confidence: 99%

“…JC Shen [18] compared a fuzzy evaluation with a fuzzy comprehensive assessment based on a cloud model and verified the advantages of the cloud model with an example. SB Zhang [19], based on the fuzziness, randomness, and uncertainty of the cloud model, applied it to the trust mechanism and realized the quantitative and qualitative transformation of the concept of trust. According to the measured data of the Three Gorges Reservoir, QW Zhang [20] analyzed the reservoir-induced earthquake of each unit using a multilevel fuzzy comprehensive evaluation method based on the cloud model.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model

Zhang

et al. 2019

Mathematical Problems in Engineering

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Highway in permafrost regions has numerous diseases during operation, due to instability and degradation of permafrost. To predict distress sections of a newly built highway in permafrost regions, we proposed a new method based on the multidimensional and multirules reasoning cloud model. Herein, the evaluation parameters affecting the highway distresses in permafrost regions, i.e., annual average ground temperature, ice content, and frozen-heave factor, were as the data input, whereas the distress degree was as the data output; all of the aforementioned were described by a cloud model. Based on the analysis of distress large data, inference rules and a cloud reasoning prediction model were established. Subsequently, distress degrees of the 10 equidistance highway sections were predicted on the Qinghai-Tibet highway by using the cloud model, and actual distress degree and predicted distress degree were compared by using the regression analysis algorithm. The results showed that the relevance between the actual distress degree and the predicted distress degree was 0.738. The study provides a feasible and effective method to predict the potential distress sections of the newly built highway and better plan infrastructure project on permafrost regions.

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Section: Case Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel Prediction Method for Highway Distresses in Permafrost Regions Based on Qualitative Reasoning of Multidimensional and Multirules Cloud Model

Zhang

et al. 2019

Mathematical Problems in Engineering

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“…Bedi et al [ 26 ] proposed a trust-based recommender system using ant colony for trust computation. Zhang et al [ 27 ] proposed a trust evaluation method based on the cloud model.…”

Section: Related Workmentioning

confidence: 99%

A game theory-based trust measurement model for social networks

Wang

Cai

Yin

et al. 2016

Compu Social Networls

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BackgroundIn social networks, trust is a complex social network. Participants in online social networks want to share information and experiences with as many reliable users as possible. However, the modeling of trust is complicated and application dependent. Modeling trust needs to consider interaction history, recommendation, user behaviors and so on. Therefore, modeling trust is an important focus for online social networks.MethodsWe propose a game theory-based trust measurement model for social networks. The trust degree is calculated from three aspects, service reliability, feedback effectiveness, recommendation credibility, to get more accurate result. In addition, to alleviate the free-riding problem, we propose a game theory-based punishment mechanism for specific trust and global trust, respectively.Results and conclusionsWe prove that the proposed trust measurement model is effective. The free-riding problem can be resolved effectively through adding the proposed punishment mechanism.

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“…Based on the previous analysis of the characteristics of the cloud model, the cloud decision method is proposed in this article to solve this problem [11][12][13][14][15].…”

Section: Problematic Presentationmentioning

confidence: 99%