Criteria selection and decision making of hotels using Dominance Based Rough Set Theory
DOI:
https://doi.org/10.31181/oresta190222061sKeywords:
Hotel criteria, Dominance-based rough set theory, regression analysis, decision making.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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Alptekin, G. I., & Büyüközkan, G. (2011). An integrated case-based reasoning and MCDM system for Web based tourism destination planning. Expert Systems with Applications, 38(3), 2125-2132. https://doi.org/10.1016/j.eswa.2010.07.153
Augeri, M. G., Cozzo, P., & Greco, S. (2015). Dominance-based rough set approach: An application case study for setting speed limits for vehicles in speed controlled zones. Knowledge Based Systems, 89, 288-300. https://doi.org/10.1016/j.knosys.2015.07.010
Błaszczyński, J., Adiel T. de Almeida Filho, Matuszyk, A., Szeląg, M., & Słowiński, R. (2021). Auto loan fraud detection using dominance-based rough set approach versus machine learning methods. Expert Systems with Applications, 163, 113740. https://doi.org/10.1016/j.eswa.2020.113740
Božanić, D., Ranđelović, A., Radovanović, M., & Tešić, D. (2020). A hybrid LBWA - IR-MAIRCA multicriteria decision-making model for determination of constructive elements of weapons. facta Universitatis, Series: Mechanical Engineering, 18(3), 399-418. 10.22190/FUME200528033B
Chakhar, S., & Saad, I. (2012). Dominance-based rough set approach for groups in multicriteria classification problems. Decision Support Systems, 54(1), 372-380. https://doi.org/10.1016/j.dss.2012.05.050
Chakhar, S., Ishizaka, A., Labib, A., & Saad, I. (2016). Dominance-based rough set approach for group decisions. European Journal of Operational Research, 251(1), 206-224. https://doi.org/10.1016/j.ejor.2015.10.060
Croby, L. A., Evans, K. R., & Cowels, D. (1990). Relatioship quality in service selling: an interprersonal influence perspective. Journal of Marketing, 54 (2), 68–81.
Couto, & Gaiado, A. B. (2015). Using a dominance based rough set approach for analysing Business indicators, Information Technology and Quantitative Management (ITQM). Procedia Computer Science, 55, 350-359. https://doi.org/10.1016/j.procs.2015.07.062
Geetha, M., Singha, P., & Sinha, S. (2017). Relationship between customer sentiment and online customer ratings for hotels-An empirical analysis. Tourism Management, 61, 43–54. https://doi.org/10.1016/j.tourman.2016.12.022
Greco, S., Matarazzo, B., & Slowinski, R. (2000). Extension of the rough set approach to multicriteria decision support. INFOR: Information Systems and Operational Research, 38(3), 161-195. https://doi.org/10.1080/03155986.2000.11732407
Đalić, I., Stević, Ž., Karamasa, C., & Puška, A. (2020). A novel integrated fuzzy PIPRECIA–interval rough SAW model: Green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), 126-145. https://doi.org/10.31181/dmame2003114d
Hsieh, L. F., & Lin, L. H. (2010). A performance evaluation model for international tourist hotels in Taiwan—An application of the relational network DEA. International Journal of Hospitality Management, 29(1), 14-24. https://doi.org/10.1016/j.ijhm.2009.04.004
Hua, N., & Yang, Y. (2017). Systematic effects of crime on hotel operating performance. Tourism Management, 60, 257-269. https://doi.org/10.1016/j.tourman.2016.11.022
Hu, M., Tsang, E. C. C., Guo, Y., Chen, D., & Xu, W. (2021). A novel approach to attribute reduction based on weighted neighborhood rough sets. Knowledge-Based Systems, 220, 106908. https://doi.org/10.1016/j.knosys.2021.106908
Joel A. C. Baum, & Mezias, S. (1992). Localised Competition and Organisational Failure in the Manhattan Hotel Industry, 1898-1990. Administrative Science Quarterly, 37(4), 580-604. https://doi.org/10.2307/2393473
Kazemitash, N., Fazlollahtabar, H., & Abbaspour, M. (2021). Rough Best-Worst Method for Supplier Selection in Biofuel Companies based on Green criteria. Operational Research in Engineering Sciences: Theory and Applications, 4(2), 1-12. https://doi.org/10.31181/oresta20402001k
Kusunoki, Y., Błaszczyński, J., Inuiguchi, M., & Słowiński, R. (2021). Empirical risk minimization for dominance-based rough set approaches. Information Sciences, 567, 395-417. https://doi.org/10.1016/j.ins.2021.02.043
Lahap, J., Ramli, N. S., Said, N. M., Radzi, S. M, & Zain R. A. (2016). A Study of Brand Image towards Customer's Satisfaction in the Malaysian Hotel Industry. Procedia - Social and Behavioral Sciences, 224, 149 – 157. https://doi.org/10.1016/j.sbspro.2016.05.430
Lai, I. K. W. & Hitchcock, M. (2017). Sources of satisfaction with luxury hotels for new, repeat, and frequent travelers: A PLS impact-asymmetry analysis. Tourism Management, 60, 107-129. https://doi.org/10.1016/j.tourman.2016.11.011
Li. L., Peng, M., Jiang, N., & Law, R. (2017). An empirical study on the influence of economy hotel website quality on online booking intentions. International Journal of Hospitality Management, 63, 1-10. https://doi.org/10.1016/j.ijhm.2017.01.001
Martin, W.B. (1986). Quality Service: The Restaurant Manager's Bible. School of Hotel Administration, Cornell University, Ithaca, NY.
Mohajerani, P., & Miremadi, A. (2012). Customer Satisfaction Modeling in Hotel Industry: A Case Study of Kish Island in Iran. International Journal of Marketing Studies, 4(3), 134-152. doi:10.5539/ijms.v4n3p134
Pamučar, D., & Janković, A. (2020). The application of the hybrid interval rough weighted Power-Heronian operator in multicriteria decision making. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 54-73. https://doi.org/10.31181/oresta2003049p
Pamucar, D., Macura, D., Tavana, M., Božanić, D., & Knežević, N. (2022). An integrated rough group multicriteria decision-making model for the ex-ante prioritization of infrastructure projects: the Serbian railways case. Socio-Economic Planning Sciences, 79, 101098. https://doi.org/10.1016/j.seps.2021.101098
Pamučar, D., Stević, Ž., & Zavadskas, E. K. (2018). Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages. Applied soft computing, 67, 141-163. https://doi.org/10.1016/j.asoc.2018.02.057
Patiar, A., Emily, M., Sandra, K., & Cox R. (2017). Students' perceptions of quality and satisfaction with virtual field trips of hotels. Journal of Hospitality and Tourism Management, 31, 134-141. https://doi.org/10.1016/j.jhtm.2016.11.003
Pawlak, Z. (1982). Rough sets. International journal of computer & information sciences, 11(5), 341-356. https://doi.org/10.1007/BF01001956
Popov, V. (2020). Coefficients of restitution in normal adhesive impact between smooth and rough elastic bodies. Reports in Mechanical Engineering, 1(1), 103-109. https://doi.org/10.31181/rme200101103p
Poznan University of Technology, Poland, Laboratory of Intelligent Decision Support System. 4eMka2 software http://idss.cs.put.poznan.pl/site/4emka.html
Ren, L., Qiuc, H., Wangd, P., & Lin, P. M. C. (2016). Exploring customer experience with budget hotels: Dimensionality and satisfaction. International Journal of Hospitality Management, 52, 13–23. https://doi.org/10.1016/j.ijhm.2015.09.009
Roy, J., Sharma, H., Kar, S., Kazimieras, Z. E., & Saparauskas, J. (2019). An extended COPRAS model for multicriteria decision-making problems and its application in web-based hotel evaluation and selection. Economic research – Ekonomska istraživanja, 32 (1), 219-253. https://doi.org/10.1080/1331677X.2018.1543054
Sawicki, P., & Zak, J. (2014). The application of Dominance based rough set theory to evaluation of transportation systems. Procedia -Social and Behavioral Sciences, 111, 1238-1248. https://doi.org/10.1016/j.sbspro.2014.03.727
Sharma, N., & Kalotra, A. (2016). Hospitality Industry in India: A Big Contributor to India's Growth, International Journal of Emerging Research in Management & Technology, 5(6), 202-210.
Sharma, H. K., Kumari, K., & Kar, S. (2019). Short-term Forecasting of Air Passengers based on Hybrid Rough Set and Double Exponential Smoothing Models, Intelligent Automation and Soft Computing, 25(1), 1-13.
Sharma, H. K., Kumari, K., & Kar, S. (2021). Forecasting Sugarcane Yield of India based on rough set combination approach. Decision Making: Applications in Management and Engineering, 4(2), 163-177. https://doi.org/10.31181/dmame210402163s
Sheather, S. (2009). A modern approach to regression with R, Springer-Verlag New York.
Sohrabi, B., Vanani, I. R., Tahmasebipur, K., & Fazli, S. (2012). An exploratory analysis of hotel selection factors: A comprehensive survey of Tehran hotels. International Journal of Hospitality Management, 31(1), 96-106. https://doi.org/10.1016/j.ijhm.2011.06.002
Stević, Ž., Pamučar, D., Kazimieras Zavadskas, E., Ćirović, G., & Prentkovskis, O. (2017). The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods. Symmetry, 9(11), 264. https://doi.org/10.3390/sym9110264
Travel and tourism website: Retrieved February, 2021. https://www.makemytrip.com.
Travel & Tourism Competitiveness Index (2019). Retrieved at March, 2021. https://reports.weforum.org/travel-and-tourism-competitiveness-report-2019/country-profiles/#economy=IND
Xu Xun., & Li Y. (2016). The antecedents of customer satisfaction and dissatisfaction toward various types of hotels: A text mining approach. International Journal of Hospitality Management, 55, 57–69. https://doi.org/10.1016/j.ijhm.2016.03.003
Ye, J., Zhan, J., & Xu, Z. (2021). A novel multi-attribute decision-making method based on fuzzy rough sets. Computers & Industrial Engineering, 155, 107136. https://doi.org/10.1016/j.cie.2021.107136
Yu, Z., Wang, D., & Wang, P. (2021). A study of interrelationships between rough set model accuracy and granule cover refinement processes. Information Sciences, 578, 116-128. https://doi.org/10.1016/j.ins.2021.07.049
Žižović, M., & Pamucar, D. (2019). New model for determining criteria weights: Level Based Weight Assessment (LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), 126-137. https://doi.org/10.31181/dmame1902102z