Skip to main content

Residents' Perceptions of Tourism Impacts: An Analysis of Fuzzy Synthetic Evaluation

Buy Article:

$25.00 plus tax (Refund Policy)

Investigating residents' perception of tourism impacts is a good method to analyze the status of tourism impact. Due to the underlying correlation among several impacts indices, tourism impacts are generally very complex to model. Various methods such as single-variable and statistics used in previous authoritative studies are not sensitive enough, which may affect the decision-making process adversely. The purpose of this research is to present the fuzzy synthetic evaluation method to analyze residents' perceptions of tourism impacts. Basic attributes and a hierarchical framework of tourism impacts are defined and formed. Then weighted vectors are determined according to the knowledge and experience of experts. The weighted evaluation matrices are then aggregated to get the fuzzy sets of tourism impacts. In the final stage, the final fuzzy sets are defuzzified to get the rank of residents' perceptions of tourism impacts. Sensitivity of fuzzy synthetic evaluation is quite high compared to other index evaluation techniques. A case study in Jiuzhaigou National Park of China is provided to demonstrate the application of this method. The findings clearly indicate that the fuzzy synthetic evaluation may successfully harmonize inherent complex conditions in residents' perception of tourism impact.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics


Document Type: Research Article

Publication date: 2006-12-01

More about this publication?
  • The aim of Tourism Analysis is to promote a forum for practitioners and academicians in the fields of Leisure, Recreation, Tourism, and Hospitality (LRTH). As a interdisciplinary journal, it is an appropriate outlet for articles, research notes, and computer software packages designed to be of interest, concern, and of applied value to its audience of professionals, scholars, and students of LRTH programs the world over.
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more