Criteria selection and decision making of hotels using Dominance Based Rough Set Theory

H. Sharma, Aarti Singh, Dixy Yadav, S. Kar
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引用次数: 12

Abstract

Accommodation is one of the necessities of tourists and travel agencies' significant responsibilities. With the growing competition and profit-making various tour organising companies have started providing attractive accommodation options to the travellers to win their choices. Present research performs a case study on accommodation providing hotels through designing a strategy to enhance their profit earrings by welcoming more and more tourists. The methodology comprises rough set theory (RST) using the Dominance Based rough set theory (DRST) on the collected data of selected variables such as location, facility, value for money, etc., of hotels. Correspondingly, if and then decision rule has been used to classify these variables. The statistical methods regression analysis has also been used to define each variable's relationship and influence on concerned authorities' decision-making. The results show that hotels and tourists can benefit from the proposed strategy and help in decision making by understanding tourist behaviour, increasing profit, improving services, and quality of hotels.
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基于优势度粗糙集理论的酒店标准选择与决策
住宿是游客的必需品之一,也是旅行社的重要职责。随着竞争的加剧和盈利的增加,各种旅行社开始为游客提供有吸引力的住宿选择,以赢得他们的选择。本研究对提供住宿的酒店进行了案例研究,通过设计一种策略来提高其利润,以迎接越来越多的游客。该方法包括基于优势的粗糙集理论(DRST)的粗糙集论(RST),该理论基于所收集的选定变量的数据,如酒店的位置、设施、性价比等。相应地,if and then决策规则被用于对这些变量进行分类。统计方法回归分析也被用来定义每个变量的关系和对有关当局决策的影响。结果表明,酒店和游客可以从所提出的策略中受益,并通过了解游客行为、增加利润、改善服务和酒店质量来帮助决策。
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来源期刊
CiteScore
7.90
自引率
0.00%
发文量
25
审稿时长
15 weeks
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