The Research of Traveling Companion Algorithm Based on Fuzzy Clustering Analysis

被引：0

作者：

Shi, Weina ^{[1
]}

Lin, Shengling ^{[1
]}

Dong, Linfeng ^{[1
]}

机构：

[1] Hainan Univ, Coll Tourism, Haikou, Hainan, Peoples R China

来源：

PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016) | 2016年

基金：

中国国家自然科学基金;

关键词：

Fuzzy Clustering Analysis; Traveling Companion; Algorithm research;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The algorithm research of Traveling Companion is based on the fuzzy clustering analysis. The traveling companion is achieved via determining companion's characteristic index, tourists' information collection, dynamic fuzzy clustering analysis and finding optimal companion. In addition, it is aimed at solving the problems emerged in the tour and providing tourist enterprises with new tips for marketing. The result of the empirical research indicates that the algorithm research of traveling companion is faithfully and reasonably designed, and has guiding significance to solve relevant problems in the future.

引用

页码：863 / 866

页数：4