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县域旅游资源多级模糊综合评价改良模型的应用研究--以海南省琼海市为例
引用本文:肖星,刘睿文,杜莉. 县域旅游资源多级模糊综合评价改良模型的应用研究--以海南省琼海市为例[J]. 经济地理, 2005, 25(6): 898-903
作者姓名:肖星  刘睿文  杜莉
作者单位:广州大学,旅游学院,中国广东,广州,510006;北京师范大学,地理与遥感科学学院,中国,北京,100875;广州大学,地理科学学院,中国广东,广州,510006
摘    要:近年来,随着国内旅游开发步伐的加快,旅游资源评价逐渐成为旅游研究的重点和热点,许多方法和模型应运而生,其中多级模糊综合评价方法是目前比较科学、规范的一种方法,成为评价研究的重要方向。文章以模糊数学的相关理论为基础,结合旅游规划实践,构建了旅游资源多级模糊综合评价改良模型,并应用于琼海市的旅游资源评价,为该市旅游开发提供了科学依据,还提出了一些改良建议,以供学界参考。

关 键 词:旅游资源  隶属度函数  多级模糊综合评价  改良模型
文章编号:1000-8462(2005)06-0898-06
收稿时间:2004-12-02
修稿时间:2004-12-022005-03-25

THE APPLIED RESEARCH OF MULTI-GRADE FUZZY COMPREHENSIVE APPRAISEMENT MODEL OF TOURISM RESOURCE IN COUNTY REGION--THE CASE OF QIONGHAI CITY,HAINAN PROVINCE
XIAO Xing,LIU Rui-wen,DU Li. THE APPLIED RESEARCH OF MULTI-GRADE FUZZY COMPREHENSIVE APPRAISEMENT MODEL OF TOURISM RESOURCE IN COUNTY REGION--THE CASE OF QIONGHAI CITY,HAINAN PROVINCE[J]. Economic Geography, 2005, 25(6): 898-903
Authors:XIAO Xing  LIU Rui-wen  DU Li
Affiliation:1. Tourism College of Guangzhou University, Guangzhou, 510006, Guangdong, China; 2. The School of Geography and Science of Remote Sensing, Beijing Normal University, Beijing 100875, China; 3. Geography College of Guangzhou University, Guangzhou 510006, Guangdong, China
Abstract:In the recent years,with the quickening step of the developing of tourism,the appraisement of tourism resource became the emphases of the tourism research.And many method and mode of appraisement of tourism resource was put forward,among them,the multi-grade fuzzy comprehensive appraisement was more scientific and normative,thus it became the important trend of appraisement of tourism resource.This article based on the fuzzy mathematic theory,combining with the practice of tourism planning,then brought forward the improved mode of multi-grade fuzzy comprehensive appraisement of tourism resource.The author made applied research on the appraisement of tourism resource of Qionghai city,Hainan province,and also put forward some improved suggestion on it.So made it serve as the reference for the tourism academia.
Keywords:tourism resource  membership function  multi-grade fuzzy comprehensive appraisement  improved model
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