Comprehensive Evaluation of Chinese Liquor Quality Based on Improved Gray-Clustering Analysis

• Published in: Advances in Swarm Intelligence pp. 147 - 154
• Main Authors: Zeng, Huanglin, Tang, Xuefei
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2012
• Series: Lecture Notes in Computer Science
• Subjects: Chinese liquor quality; comprehensive evaluation; gray-clustering analysis; non-linear logistic function
• ISBN: 3642310192; 9783642310195
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-31020-1_18

An improved gray-clustering analysis model is proposed for comprehensive evaluation of Chinese liquor quality, in which non-linear modification is made to the white functions of grey classification in the original model. A grade of attribute values of condition attributes given by liquor tasting specialists is turned into a gray value of condition attribute based on each grey classification white function generated. The right conversion factor of evaluative value for each condition attribute and comprehensive evaluation of Chinese liquor quality are facilitated the acquiring of the result of the gray-clustering process. A comprehensive evaluation case is also proposed at the end of this article.