Patent ID: 11868432
Assignee: SICHUAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for extracting a kansei adjective of a product based on principal component analysis and explanation (PCA-E), comprising:
S1: constructing a product kansei evaluation vector matrix;
S2: subjecting the product kansei evaluation vector matrix to dimensionality reduction based on principal components:
S21: zero-centering each row in the product kansei evaluation vector matrix;
S22: obtaining a covariance matrix of the product kansei evaluation vector matrix after the zero-centering;
S23: subjecting the covariance matrix obtained in step S22 to orthogonal decomposition to obtain eigenvalues and eigenvectors of the covariance matrix; and
S24: arranging the eigenvalues in a descending order, and extracting the eigenvectors of first f principal components with a cumulative contribution rate greater than a first threshold to form an eigenvector matrix;
S3: obtaining a principal component load factor matrix, and constructing a principal component load factor table; and
S4: extracting kansei adjectives representing the principal components according to a kansei adjective extraction strategy.