Data evaluation method for ceramic 3D printing samples based on fuzzy algorithm

Issue title: Information Sciences and Data Transmission of Data

Guest editors: Juan Luis García Guirao

Article type: Research Article

Authors: Xu, Ling^{; *}

Affiliations: Engineering Training Center, Nanjing University of Aeronautics and Astronautics, Nanjing, China

Correspondence: [*] Corresponding author. Ling Xu. E-mail: xuling1018@126.com.

Abstract: In order to improve the evaluation score and accuracy of ceramic 3D printing sample data, a fuzzy algorithm based evaluation method of ceramic 3D printing sample data is proposed. The data of ceramic 3D printing samples were collected and preprocessed by fuzzy algorithm. The specific content of the evaluation index of 3D printing sample data is determined, and the evaluation system of 3D printing sample data is established. Fuzzy algorithm is used to determine the weight of data quality evaluation index of ceramic 3D printing samples. According to the steps of setting up the weight matrix of the evaluation index of 3D printed ceramic sample data, the weight matrix of the evaluation index is established. Because there are many data sources of ceramic 3D printing samples, there may be data conflicting with the description of the same object. Under the background of fuzzy algorithm, the effective dimension of ceramic 3D printing sample data is established. According to the membership function of each evaluation index, the fuzzy set of 3D printing sample data of ceramics is established. Finally, the data evaluation process is designed to realize the data evaluation of ceramic 3D printing samples based on fuzzy algorithm. The experimental results show that the evaluation accuracy of the method is higher than 96%, and the scores of users and experts on the interior design scheme are above 80 points.

Keywords: Fuzzy algorithm, ceramic material, 3D printing, sample data, data evaluation

DOI: 10.3233/JIFS-179846

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7767-7778, 2020