An online reviews information fusion method and its application to public property service quality evaluation

    Shanshan Lin   Affiliation
    ; Wenjin Zuo   Affiliation
    ; Hualin Lin   Affiliation
    ; Qiang Hu   Affiliation


With the rapid development of computer networking technology, people pay more and more attention to the role of online reviews in management decision making. The existing methods of online reviews fusion are limited to rational decision-making behavior, which does not accord with the characteristics of evaluators’ behavior characteristics in the real environment. In order to solve the online reviews fusion problem based on bounded rational behavior which is closer to the reality of property service quality evaluation, the multi-index and multi-scale (MIMS) method is extended into the generalized form, the online reviews are quantified by using the adverb structure scaling method, and an online reviews fusion method based on the improved TODIM (an acronym in Portuguese of interactive and multi-criteria decision making) model is proposed. The feasibility and effectiveness of the proposed method are verified by an example analysis of property service quality evaluation. The research results are as follows: the adverb structure scaling method is suitable for a large number of online reviews processing, the proposed method improves the efficiency of online reviews information fusion, and it is feasible and effective to evaluate property service quality based on the bounded rationality of evaluator’s behavior.

First published online 14 January 2022

Keyword : generalized MIMS method, adverb structure scaling method, improved TODIM method, online reviews information fusion, public property service quality evaluation

How to Cite
Lin, S., Zuo, W., Lin, H., & Hu, Q. (2022). An online reviews information fusion method and its application to public property service quality evaluation. International Journal of Strategic Property Management, 26(1), 1-10.
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Jan 28, 2022
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Agrawal, V., Seth, N., & Dixit, J. K. (2020, August 1). A combined AHP–TOPSIS–DEMATEL approach for evaluating success factors of e-service quality: an experience from Indian banking industry. Electronic Commerce Research.

Alimohammadzadeh, K., Bahadori, M., & Hassani, F. (2016). Application of analytical hierarchy process approach for service quality evaluation in radiology departments: a cross-sectional study. Iranian Journal of Radiology, 13(1), 1–7.

Atalay, K. D., Atalay, B., & Isin, F. B. (2019). Fipia with information entropy: a new hybrid method to assess airline service quality. Journal of Air Transport Management, 76(5), 67–77.

Basfirinci, C., & Mitra, A. (2015). A cross cultural investigation of airlines service quality through integration of servqual and the KANO model. Journal of Air Transport Management, 42, 239–248.

Bazeer Ahamed, B., & Murugan, K. (2020). Study of socio-linguistics online review system using sentiment scoring method. In P. Vasant, I. Zelinka, & G. W. Weber (Eds.), Advances in intelligent systems and computing: Vol. 1072. Intelligent computing and optimization (pp. 569–580). Springer.

Beim, D., Hirsch, A. V., & Kastellec, J. P. (2016). Signaling and counter-signaling in the judicial hierarchy: an empirical analysis of en banc review. American Journal of Political Science, 60(2), 490–508.

Biswas, A., & Sarkar, B. (2018). Interval-valued pythagorean fuzzy TODIM approach through point operator-based similarity measures for multicriteria group decision making. Kybernetes, 48(3), 496–519.

Chen, K., Kou, G., Shang, J., & Chen, Y. (2015). Visualizing market structure through online product reviews: integrate topic modeling, TOPSIS, and multi-dimensional scaling approaches. Electronic Commerce Research & Applications, 14(1), 58–74.

Chen, Y. T., & Chou, T. Y. (2011). Applying GRA and QFD to improve library service quality. The Journal of Academic Librarianship, 37(3), 237–245.

Chiang, T. Y., & Perng, Y. H. (2018). A new model to improve service quality in the property management industry. International Journal of Strategic Property Management, 22(5), 436–446.

China Internet Network Information Center. (2021, February). The 47th China statistical report on Internet development [R].

Fan, Z. P., Zhang, X., Chen, F. D., & Liu, Y. (2013). Extended TODIM method for hybrid multiple attribute decision making problems. Knowledge-Based Systems, 42(2), 40–48.

Garoupa, N., Gili, M., & Gómez-Pomar, F. (2012). Political influence and career judges: an empirical analysis of administrative review by the Spanish supreme court. Journal of Empirical Legal Studies, 9(4), 795–826.

Gomes, L. F. A. M., & Lima, M. (1991). TODIM: basic and application to multicriteria ranking of projects with environmental impacts. Foundations of Computing and Decision Sciences, 16(3), 113–127.

Gou, X. J., Xu, Z. S., & Herrera, F. (2018). Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations. Knowledge-Based Systems, 157, 20–33.

Huang, Y. H., & Lee, P. C. (2020). Role of property management in service demands of elderly residents of apartment complexes. International Journal of Strategic Property Management, 24(1), 24–37.

Islam, R., Musabbir, S. R., Ahmed, I. U., Hadiuzzaman, M., & Hasnat, M. H. (2016). Bus service quality prediction and attribute ranking using probabilistic neural network and adaptive neuro fuzzy inference system. Canadian Journal of Civil Engineering, 43(9), 822–829.

Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47, 263–291.

Kseolu, A., Ahin, R., & Merdan, M. (2020). A simplified neutrosophic multiplicative set‐based TODIM using water-filling algorithm for the determination of weights. Expert Systems, 37(4), e12515.1–e12515.28.

Lee, Y. S., & Shih, H. S. (2016). Incremental analysis for generalized TODIM. Central European Journal of Operations Research, 24(4), 901–922.

Leoneti, A. B., & Gomes, L. F. A. M. (2021). A novel version of the TODIM method based on the exponential model of prospect theory: the ExpTODIM method. European Journal of Operational Research, 295(3), 1042–1055.

Llamazares, B. (2018). An analysis of the generalized TODIM method. European Journal of Operational Research, 269(3), 1041–1049.

Li, D. F. (2008). Extension of the LINMAP for multiattribute decision-making under Atanassov’s intuitionistic fuzzy environment. Fuzzy Optimization & Decision-Making, 7(1), 7–34.

Li, W. H., Yu, S. H., Pei, H. N., Zhao, C., & Tian, B. Z. (2017). A hybrid approach based on fuzzy AHP and 2-tuple fuzzy linguistic method for evaluation in-flight service quality. Journal of Air Transport Management, 60, 49–64.

Liang, X., Jiang, Y. P., & Gao, M. (2017). Product selection methods based on online reviews. Journal of Northeastern University (Natural Science), 38(1), 143–147.

Liu, L. J., & Zuo, W. J. (2019). Interval value weighted Muirhead mean operator and its application in perceived service quality evaluation. Journal of Industrial Technological Economics, 38(5), 38–44.

Lourenzutti, R., & Krohling, R. A. (2013). A study of TODIM in a intuitionistic fuzzy and random environment. Expert Systems with Applications, 40(16), 6459–6468.

Mi, C. M., Shan, X. F., Qiang, Y., Stephanie, Y., & Chen, Y. (2014). A new method for evaluating tour online review based on grey 2-tuple linguistic. Kybernetes, 43, 601–613.

Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on MIS Quarterly, 34(1), 185–200.

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implication for future research (servqual). Journal of Marketing, 49, 41–50.

Qin, Q. D., Liang, F. Q., Li, L., Chen, Y. W., & Yu, G. F. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. Applied Soft Computing, 55, 93–107.

Robson, K., Farshid, M., Bredican, J., & Humphrey, S. (2013). Making sense of online consumer reviews: a methodology. International Journal of Market Research, 55(4), 521–537.

Shen, H. M., Tu, K. J., & Chiang, T. Y. (2021). Establish a customer property service strategy framework. International Journal of Strategic Property Management, 25(3), 204–215.

Srinivasan, V., & Shocker, A. D. (1973). Linear programming techniques for multidimensional analysis of preferences. Psychometrika, 38, 337–369.

Tiglao, N. C. C., De Veyra, J. M. Tolentino, N. J. Y., & Tacderas, M. A. Y. (2020). The perception of service quality among paratransit users in Metro Manila using structural equations modelling (SEM) approach. Research in Transportation Economics, 83, 100955.

Wan, S. P., Zou, W., & Dong, J. Y. (2020). Prospect theory based method for heterogeneous group decision making with hybrid truth degrees of alternative comparisons. Computers & Industrial Engineering, 141(3), 106285.1–106285.14.

Wang, C., Chen, G. Q., & Wei, Q. (2018a). A temporal consistency method for online review ranking. Knowledge-Based Systems, 143(1), 259–270.

Wang, H. D., Yao, J. L., Zhang, X. Y., & Zhang, Y. (2021). An area similarity measure for trapezoidal interval type-2 fuzzy sets and its application to service quality evaluation. International Journal of Fuzzy Systems, 23, 2252–2269.

Wang, P., Xu, X. H., Huang, S., & Cai, C. G. (2018b). A linguistic large group decision making method based on the cloud model. IEEE Transactions on Fuzzy Systems, 26(6), 314–326.

Wang, X., & Dang, Y. G. (2016). Multiple attribute decision-making model with interval grey number based on improved TODIM method. Control and Decision, 31(2), 261–266.

Xi, Y., & Fan, Z. P. (2016). Method for determining attribute weights and ranking alternatives based on online evaluation information. Control and Decision, 31(11), 1998–2004.

Xie, L., He, J. Q., Cheng, P. F., Xiao, R. S., & Zhou, X. H. (2019). A multi-criteria 2-tuple linguistic group decision-making method based on TODIM for cholecystitis treatments selection. ACCESS, 7, 127967–127986.

Xu, X. H., Du, Z. J., Chen, X. H., & Zhou, Y. J. (2017). Conflict large-group emergency decision-making method while protecting minority opinions. Journal of Management Sciences in China, 20(11), 10–23.

Yucesan, M., & Gul, M. (2020). Hospital service quality evaluation: an integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. Soft Computing, 24(5), 3237–3255.

Zhang, J., Wang, C., & Chen, G. Q. (2020). A review selection method for finding an informative subset from online reviews. Informs Journal on Computing, 33(1), 280–299.

Zhang, X., & Fan, Z. P. (2010). A method for large group decision making with multi-attribute and multiidentifier based on stochastic dominance rules. Systems Engineering, 28(2), 24–29.

Zuo, W. J., Li, D. F., & Yu, G. F. (2020). A general multi-attribute multi-scale decision making method based on dynamic LINMAP for property perceived service quality evaluation. Technological and Economic Development of Economy, 26(5), 1052–1073.

Zuo, W. J., Li, D. F., Yu, G. F., & Zhang, L. P. (2019). A large group decision-making method and its application to the evaluation of property perceived service quality. Journal of Intelligent & Fuzzy Systems, 37(1), 1513–1527.

Zuo, W. J., Zhang, X. X., Zeng, S. Z., & Liu, L. J. (2021). A LINMAP method based on the bounded rationality of evaluators for property service quality evaluation. ACCESS, 9, 122668–122684.