计算机工程与应用2015，Vol.51Issue(24)：221-226,265,7.DOI:10.3778/j.issn.1002-8331.1312-0343
基于聚类的食品可追溯属性支付意愿研究
Research of willingness to pay for food traceability property based on clustering
摘要
Abstract
A menu-based choice experimental survey is conducted in Wuxi, Jiangsu Province. An improved k-modes algo-rithm is used to analyze the data. The improved k-modes algorithm optimizes the method of selecting initial cluster centers so as to simplify the process of clustering. Cluster modes are replaced by the pattern of thinking all property values thereby improving the clustering accuracy. Experimental results indicate that customer can be divided into four classes, i. e. those who pay no attention to traceability information class, those who pay attention to farming information class, those who attach importance to the traceability information, and those who pay attention to farming information and government-certified class. Pork with different combinations of traceability information can be provided to different customer classes thus expand-ing consumers'demand for traceable food and finally improving food safety standards.关键词
聚类/菜单法/可追溯猪肉/支付意愿Key words
clustering/menu based choice experiment/traceability pork/willingness to pay分类
信息技术与安全科学引用本文复制引用
董汉芳,吴小俊,吴林海..基于聚类的食品可追溯属性支付意愿研究[J].计算机工程与应用,2015,51(24):221-226,265,7.基金项目
国家自然科学基金(No.71273117) （No.71273117）
江苏省六大人才高峰资助项目(No.2012-JY-002) （No.2012-JY-002）
国家软科学计划项目(No.2013GXQ4B158) （No.2013GXQ4B158）
江苏省高校哲学社会科学优秀创新团队建设项目(No.2013-011). （No.2013-011）
