Mining Methods Based on Vague Optimization Evaluation

Abstract:

Method based on vague optimization evaluation is vague pattern recognition. There are six detailed steps of application. The first, Set up Techno-economic indicator system. Secondly set up preparative optimization scheme sets. Thirdly set up optimal scheme in theory. It is made up of each Techno-economic indicator optimal data. Fourthly transform techno-economic input data into vague data. The fifth, Calculating similarly measures. Similarity measures will be evaluated between preparative optimization scheme vague sets and optimal scheme in theory. The last is vague optimization evaluation. The weight of each preparative optimization scheme is given. The data of weighted similarity measures by the weight factors are obtained. And applying them we obtain the good and bad sort of vague optimization scheme. The new similarity measures formula between vague sets is given. The formula is indispensable in the method of vague optimization evaluation. Application examples show that the Vague optimization evaluation method to the conclusion is reliable.

• Periodical: Advanced Materials Research (Volume 659)
• Pages: 128-133
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.659.128
• Online since: January 2013
• Authors: Hai Feng Wang, Hong E Ren, Kun Zhang, Hong Xu Wang
• Keywords: Input Data, Similarity Measures, Vague Data, Vague Optimization Evaluation Method, Vague Set

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