Reliability Prediction of Products Based on Generalized Closeness Degree

Ling Ling Li; Chun Tao Zhao; Shan Shan Huang; Zhi Gang Li

doi:10.4028/www.scientific.net/AMR.354-355.1273

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 354-355Reliability Prediction of Products Based on...

Reliability Prediction of Products Based on Generalized Closeness Degree

Abstract:

In practice, the getting product data types have ordinary real number, interval-valued in real number field, fuzzy set in real number field. In order to dispose these data simultaneously, a new generalized closeness degree is proposed in this paper. And then make it applied to reliability prediction. The new generalized closeness degree is getting through the weighted fusion with two of commonly used closeness degree. lattice close-degree Based on membership degree, and measure close-degree Based on area ratio. According calculating the characteristic factors’ close-degree between the awaiting predicting product and the case products, for every attribute value distributing a weight, prediction result is obtained by integrating the data.

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Periodical:

Advanced Materials Research (Volumes 354-355)

Pages:

1273-1277

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.354-355.1273

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Online since:

October 2011

Authors:

Ling Ling Li, Chun Tao Zhao, Shan Shan Huang, Zhi Gang Li

Keywords:

Generalized Closeness Degree, Reliability Degree, Reliability Prediction

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