Abstract: Three factors, namely, the time of online rating published, the number of “useful” votes and whether rating is labeled as “ZhuanJia Rating”, have a significant impact on the credibility of online rating and consumer purchasing decision. Considering the different needs of different consumers' groups, a method for ranking hotels is proposed based on the online ratings considering the credibility of online ratings and consumer types. First, the online rating information given by different types of consumer groups is converted into interval-valued neutrosophic considering the credibility of online rating. Second, the weight of each consumer group for target group is calculated according to the method for measuring the distance of interval-valued neutrosophic, and then the hotel-attribute decision matrix for the target consumer group is determined according to the INLNPA integration operator. Third, the weight of each attribute is calculated according to the entropy measure method of interval-valued neutrosophic set, and then the hotel ranking results for the target groups are obtained based on the VIKOR method. Finally, a case study shows the validity and feasibility of the proposed method.

Key words: hotel ranking, online rating information, interval-valued neutrosophic, weight, VIKOR method

摘要： 针对在线评价的发布时间、获得的“有用”的投票数以及是否被贴上“砖家”点评标签对在线评价信息可信度和消费者购买决策具有重要影响,提出一种基于在线评价信息且考虑评价信息可信度及消费者类型的酒店排序方法。首先,将不同类型消费者群体给出的在线评价信息转换成考虑在线评价信息可信度的区间中智数;其次,依据区间中智数距离测度公式确定针对目标群体的各消费者群体权重,进而依据INLNPA集成算子集结各消费者群体评价信息确定针对目标群体的酒店-属性决策矩阵;再次,依据区间中智集熵测度方法确定各属性权重,在此基础上,基于VIKOR方法得到针对目标群体的酒店排序结果;最后,通过一个实例分析说明该方法的有效性和可行性。

关键词: 酒店排序, 在线评价信息, 区间中智数, 权重, VIKOR方法