arrow
返回

Hotel selection using a modified TOPSIS-based decision support algorithm

delete2019-05-01
delete53
PRE
AI
A
Alex Pak Ki Kwok *
H
Henry Y.K. Lau
DOI:10.1016/j.dss.2019.02.004delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
While many studies pointed out that travellers often consider a basket of factors when they are selecting their accommodation, few online travel agency websites allow the travellers to actively express their preference about the selection criteria in order to receive tailor-made recommendations in return. The absence of this feature causes travellers to spend extra effort and time to compare the hotel options themselves. This paper presents a decision support algorithm, namely Vague Set TOPSIS, to help travellers to rank the hotel options. It was found in this research that the structure and assumptions of the conventional TOPSIS methods are not suitable for handling this decision problem. Therefore, this paper is novel in providing a foundational change to the conventional TOPSIS models such that it is more applicable to hotel selection. The validity of the proposed decision support algorithm was proved via three approaches, which are mathematical proofs, computer stochastic simulation experiments and a numerical case study using data obtained from Hotels.com.
Keyword:
Decision support system
Multi-criteria decision-making
Vague set TOPSIS
Hotel selection
Online travel agencies
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Decision Support Systems 封面图
Decision Support Systems
IF:
6.8
论文数:
3.8K
被引数:
1.5W

机构

U
University of Hong Kong
学者数:
4.1W
论文数: 3.9W
被引数: 10.1W
J
jinan university
学者数:
4.3W
论文数: 2.7W
被引数: 38
引用论文

引用论文

err分享
err收藏
err分享
err收藏
Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company
err2014-03-01
err496
PREAI
errKannan, Devika; Lopes de Sousa Jabbour, Ana Beatriz; Chiappetta Jabbour, Charbel Jose
err分享
err收藏
err分享
err收藏
学者 查看更多内容