METHODS OF MULTICRITERIAL HIERARCHY ON TOURISM-SPECIFIC INDICES

机译：特定于旅游指标的多准则层次方法

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World Tourism Organization's long-term forecast up to 2020 emphasizes an increasing tourism development in Central and Eastern-European countries such as Bulgaria, Croatia, the Czech Republic, Hungary, Latvia, Lithuania, Poland, Romania, Slovenia and Slovakia. The paper herein aims at identifying Romania's place within the tourism framework of these Central and Eastern-European countries, taking into account a series of indices specific to the tourism activity: arrivals of visitors at tourist accommodation units, tourism nights, number of bed-places in hotels and similar units, tourism intensity (total number of nights spent per 1000 inhabitants), tourist expenditure of residents total (thousands of euro), Gross Domestic Product at market prices (Purchasing Power Standard per inhabitant). Analysis methods: main components analysis, cluster analysis, relative distances method.

机译：世界旅游组织对2020年的长期预测强调了中欧和东欧国家（例如保加利亚，克罗地亚，捷克共和国，匈牙利，拉脱维亚，立陶宛，波兰，罗马尼亚，斯洛文尼亚和斯洛伐克）旅游业的发展。本文的目的是确定罗马尼亚在这些中欧和东欧国家的旅游框架内的位置，同时考虑到一系列针对旅游活动的指标：游客到达旅游住宿单位的人数，旅游夜数，床位数旅馆及类似单位的旅游强度（每千名居民过夜的总夜数），居民的旅游总支出（千欧元），按市场价格计算的国内生产总值（每名居民购买力标准）。分析方法：主要成分分析，聚类分析，相对距离法。

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《Mathematics and computers in biology, business and acoustics》|2011年|p.254-259|共6页
会议地点 Brasov(RO);Brasov(RO);Brasov(RO);Brasov(RO);Brasov(RO);Brasov(RO)
作者
PETCU NICOLETA;
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作者单位

Management and Informatics Departament University 'Transilvania' of Brasov 29, Eroilor Bld ROMANIA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
relative distances method; cluster analysis; main components analysis;

机译：相对距离法聚类分析;主要成分分析;

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METHODS OF MULTICRITERIAL HIERARCHY ON TOURISM-SPECIFIC INDICES

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