Web intelligence for tourism using railway data by a simplified fuzzy reasoning method

Takashi Hasuike*, Takumi Ichimura

*この研究の対応する著者

研究成果: Article査読

2 被引用数 (Scopus)

抄録

This paper proposes an approach to analyze the tourism information and data derived from the Web, particularly seat availability data of bullet trains in Japan, and to discover some useful knowledge for the tourism. For the fast development of information and communication technologies, the relation between the web data and tourism is inseparable. However, the Web data include various types of information such as numerical, linguistic, and graded data. Furthermore, the expert tourism planner's subjectivity is also an important factor to develop new favorable plans. A simplified fuzzy reasoning method, which is one of the useful approaches in Data mining, is introduced in order to deal with these data mathematically. The analysis of the tourism data and the knowledge discovery are performed using actual data of bullet trains in Japan.

本文言語English
ページ(範囲)251-259
ページ数9
ジャーナルJournal of Intelligent and Fuzzy Systems
24
2
DOI
出版ステータスPublished - 2013
外部発表はい

ASJC Scopus subject areas

  • 統計学および確率
  • 工学(全般)
  • 人工知能

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