Multi-stage multi-attribute decision making method based on online reviews for hotel selection considering the aspirations with different development speeds

被引:36
作者
Zhang, Chen-xi [1 ]
Zhao, Meng [1 ,2 ]
Cai, Ming-yao [3 ]
Xiao, Qi-rui [4 ]
机构
[1] Northeastern Univ, Sch Business Adm, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ Qinhuangdao, 143 Taishan Rd, Qinhuangdao 066004, Hebei, Peoples R China
[3] Carleton Univ, Dept Math, Ottawa, ON K1S 5B6, Canada
[4] Northeastern Univ, Coll Sci, Shenyang 110819, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-stage multi-attribute decision making; Online reviews; Aspiration; Development speed; Hotel selection; USER-GENERATED CONTENT; WORD-OF-MOUTH; NUMERICAL SCALE; PROSPECT-THEORY; SUPPORT MODEL; REPRESENTATION; INFORMATION; ASSESSMENTS; OPERATORS; CONSUMERS;
D O I
10.1016/j.cie.2020.106421
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the development of the Internet, online reviews provide a new perspective to evaluate alternatives. From the perspective of selecting a hotel as the long-term partner, the comprehensive performances of hotels in a longtime dimension become the vital factor. In addition, the behaviors of decision-makers should also be taken into account in the decision making. Due to the above reasons, this paper provides a multi-stage multi-attribute decision-making method based on online reviews for hotel selection by considering the aspirations of different development speeds. Firstly, this paper considers the performances of hotels in multiple stages. Secondly, this paper establishes the aspiration satisfaction function that considers different risk preferences and aspirations to make the decision process more flexibility. Thirdly, this paper provides three different development speeds when setting the multi-stage time aspirations to offer more choices. Finally, this paper illustrates the effectiveness by a practical example and provides management suggestions for both decision-makers and alternatives based on the simulation results.
引用
收藏
页数:18
相关论文
共 52 条
[1]  
[Anonymous], 2010, 4 INT AAAI C WEBL SO
[2]   Do online hotel rating schemes influence booking behaviors? [J].
Casalo, Luis V. ;
Flavian, Carlos ;
Guinaliu, Miguel ;
Ekinci, Yuksel .
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2015, 49 :28-36
[3]   Multi-stage multi-attribute decision-making method based on the prospect theory and triangular fuzzy MULTIMOORA [J].
Dai, Wen-feng ;
Zhong, Qiu-yan ;
Qi, Chun-ze .
SOFT COMPUTING, 2020, 24 (13) :9429-9440
[4]   Digital marketing strategies, online reviews and hotel performance [J].
De Pelsrnacker, Patrick ;
van Tilburg, Sophie ;
Holthof, Christian .
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2018, 72 :47-55
[5]  
Degani R., 1988, International Journal of Approximate Reasoning, V2, P143, DOI 10.1016/0888-613X(88)90105-3
[6]   ON AGGREGATION OPERATIONS OF LINGUISTIC LABELS [J].
DELGADO, M ;
VERDEGAY, JL ;
VILA, MA .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 1993, 8 (03) :351-370
[7]   Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information [J].
Dong, Yucheng ;
Li, Cong-Cong ;
Herrera, Francisco .
INFORMATION SCIENCES, 2016, 367 :259-278
[8]   Consensus-Based Group Decision Making Under Multi-granular Unbalanced 2-Tuple Linguistic Preference Relations [J].
Dong, Yucheng ;
Li, Cong-Cong ;
Xu, Yinfeng ;
Gu, Xin .
GROUP DECISION AND NEGOTIATION, 2015, 24 (02) :217-242
[9]   Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model [J].
Dong, Yucheng ;
Xu, Yinfeng ;
Yu, Shui .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2009, 17 (06) :1366-1378
[10]   A method for product personalized design based on prospect theory improved with interval reference [J].
Dou, Runliang ;
Lin, Dandan ;
Nan, Guofang ;
Lei, Siyuan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 125 :708-719