A Novel Hotel Selection Decision Support Model Based on the Online Reviews from Opinion Leaders by Best Worst Method
نویسندگان
چکیده
Abstract Hotel selection is an important decision in making travel plans. Since hotel a typical non-expert decision, online reviews provide people with information about the hotels and destinations they never went to. Several studies construct model based on subjective weights of criteria but ignore objective weight derived by opinion leaders, which contributes to review helpfulness. This study proposes decision-making for satisfactory selection. Firstly, RFMP proposed extract Word2vec method used from leaders. Secondly, obtain leaders Word2Vec. Meanwhile, best worst method(BWM) method. Thus, can be obtained linear weighting parameter. Thirdly, process TOPSIS employed. Finally, case 8 alternative Mafengwo.com applied verify model. Comparison experiments sensitivity analysis are given illustrate reasonableness advantage
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2022
ISSN: ['1875-6883', '1875-6891']
DOI: https://doi.org/10.1007/s44196-022-00073-w