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An overview of fuzzy multi-criteria decision-making methods in hospitality and tourism industries: bibliometrics, methodologies, applications and future directions

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Article: 2150871 | Received 20 Apr 2022, Accepted 14 Nov 2022, Published online: 07 Dec 2022

References

  • Abrishamchi, A., Moonesan, A. A., & Maknoon, R. (2019). A fuzzy multi-criteria approach for sustainable island-based tourism development. Scientia Iranica, 28(2), 682-699. https://doi.org/10.24200/sci.2019.53260.3146
  • Aliani, H., BabaieKafaky, S., Saffari, A., & Monavari, S. M. (2017). Land evaluation for ecotourism development—an integrated approach based on FUZZY, WLC, and ANP methods. International Journal of Environmental Science and Technology, 14(9), 1999–2008. https://doi.org/10.1007/s13762-017-1291-5
  • Aliani, H., Kafaky, S. B., Saffari, A., & Monavari, S. M. (2016). Determining an appropriate method for the purpose of land allocation for ecotourism development (case study: Taleghan County, Iran). Environmental Monitoring and Assessment, 188(11), 651. https://doi.org/10.1007/s10661-016-5651-2.
  • Andria, J., di Tollo, G., & Pesenti, R. (2021). Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability. Tourism Economics, 27(1), 168–186. https://doi.org/10.1177/1354816619885207
  • Arsić, S., Nikolić, D., & Živković, Ž. (2017). Hybrid SWOT - ANP - FANP model for prioritization strategies of sustainable development of ecotourism in National Park Djerdap, Serbia. Forest Policy and Economics, 80, 11–26. https://doi.org/10.1016/j.forpol.2017.02.003
  • Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96. https://doi.org/10.1016/S0165-0114(86)80034-3
  • Atanassov, K. T. (1999). Interval valued intuitionistic fuzzy sets. Intuitionistic fuzzy sets, physica, Heidelberg (pp. 139–177). https://doi.org/10.1007/978-3-7908-1870-3_2
  • Baydaş, M., Elma, O. E., & Pamučar, D. (2022). Exploring the specific capacity of different multi criteria decision making approaches under uncertainty using data from financial markets. Expert Systems with Applications, 197, 116755. https://doi.org/10.1016/j.eswa.2022.116755
  • Benítez, J. M., Martín, J. C., & Román, C. (2007). Using fuzzy number for measuring quality of service in the hotel industry. Tourism Management, 28(2), 544–555. https://doi.org/10.1016/j.tourman.2006.04.018
  • Bueno, I., Carrasco, R. A., Porcel, C., Kou, G., & Herrera-Viedma, E. (2021). A linguistic multi-criteria decision making methodology for the evaluation of tourist services considering customer opinion vayanglue. Applied Soft Computing, 101, 107045. https://doi.org/10.1016/j.asoc.2020.107045
  • Büyüközkan, G., Feyzioğlu, O., & Havle, C. A. (2019). Intuitionistic fuzzy AHP based strategic analysis of service quality in digital hospitality industry. IFAC-PapersOnLine, 52(13), 1687–1692. https://doi.org/10.1016/j.ifacol.2019.11.443
  • Çalık, A. (2020). Evaluation of social media platforms using best-worst method and fuzzy VIKOR methods: A case study of travel agency. Iranian Journal of Management Studies, 13(4), 645–672. https://doi.org/10.22059/ijms.2020.294545.673893
  • Carlos Martin, J., Saayman, M., & Du Plessis, E. (2019). Determining satisfaction of international tourist: A different approach. Journal of Hospitality and Tourism Management, 40, 1–10. https://doi.org/10.1016/j.jhtm.2019.04.005
  • Chang, K. L. (2015). The use of a hybrid MCDM model for public relations personnel selection. Informatica, 26(3), 389–406. https://doi.org/10.15388/Informatica.2015.54
  • Chen, C. L., & Bau, Y. P. (2016). Establishing a multi-criteria evaluation structure for tourist beaches in Taiwan: A foundation for sustainable beach tourism. Ocean & Coastal Management, 121, 88–96. https://doi.org/10.1016/j.ocecoaman.2015.12.013
  • Chen, N., Xu, Z., & Xia, M. (2013). Interval-valued hesitant preference relations and their applications to group decision making. Knowledge-Based Systems, 37, 528–540. https://doi.org/10.1016/j.knosys.2012.09.009
  • Chen, S. X., Xu, Z. S., Wang, X. X., & Škare, M. (2022). A bibliometric analysis of natural disasters and business management in tourism. Journal of Business Economics and Management, 23(2), 305–326. https://doi.org/10.3846/jbem.2022.16388
  • Chen, Y. C., Yu, T. H., Tsui, P. L., & Lee, C. S. (2014). A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model. Quality & Quantity, 48(2), 645–657. https://doi.org/10.1007/s11135-012-9792-2
  • Chou, S. F., Horng, J. S., Liu, C. H., & Lin, J. Y. (2021). Innovation strategy development and facilitation of an integrative process with an MCDM framework. Entrepreneurship Research Journal, 000010151520200001. https://doi.org/10.1515/erj-2020-0001
  • Chou, S. Y., Vincent, F. Y., Dewabharata, A., & Dat, L. Q. (2012). A fuzzy TOPSIS approach for medical provider selection and evaluation [Paper presentation]. November In 2012 International conference on Fuzzy Theory and Its Applications (iFUZZY2012) (pp. 322–326). IEEE. https://doi.org/10.1109/iFUZZY.2012.6409724
  • Chou, T. Y., Hsu, C. L., & Chen, M. C. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International Journal of Hospitality Management, 27(2), 293–301. https://doi.org/10.1016/j.ijhm.2007.07.029
  • Chiao, K. P. (2021). Multi-criteria decision making with interval type 2 fuzzy Bonferroni mean. Expert Systems with Applications, 176, 114789. https://doi.org/10.1016/j.eswa.2021.114789
  • Duan, G., Papi, M., & Kosti, M. (2021). Multi-criteria decision making trends in ecotourism and sustainable tourism. Ekonomika Poljoprivrede, 68(2), 321–340. https://doi.org/10.5937/ekoPolj2102321G
  • Erdenejargal, N., Dorjsuren, B., Choijinjav, L., Doljin, D., Enkhbold, A., Munkhuu, B., Natsagdorj, B., & Girma, A. (2021). Evaluation of the natural landscape aesthetic: A case study of Uvs province. Polish Journal of Environmental Studies, 30(5), 4497–4509. https://doi.org/10.15244/pjoes/132788
  • Erfani, M., Afrougheh, S., Ardakani, T., & Sadeghi, A. (2015). Tourism positioning using decision support system (case study: Chahnime—Zabol, Iran). Environmental Earth Sciences, 74(4), 3135–3144. https://doi.org/10.1007/s12665-015-4365-z
  • Estiri, M., Heidary Dahooie, J., & Skare, M. (2022). COVID-19 crisis and resilience of tourism SME's: A focus on policy responses. Economic Research-Ekonomska Istraživanja, 35(1), 5556–5580. https://doi.org/10.1080/1331677X.2022.2032245
  • Forouzandeh, S., Rostami, M., & Berahmand, K. (2022). A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model. Fuzzy Information and Engineering, 14(1), 26–50. https://doi.org/10.1080/16168658.2021.2019430
  • Fu, H. H., & Tzeng, S. Y. (2016). Applying fuzzy multiple criteria decision making approach to establish safety-management system for hot spring hotels. Asia Pacific Journal of Tourism Research, 21(12), 1343–1356. https://doi.org/10.1080/10941665.2016.1175487
  • Fu, Y. K., Huang, W., & Liao, C. N. (2020). The selection model for horizontal alliances between hotels and airlines: An integrated application of NGT, fuzzy TOPSIS and MCGP methods. Tourism Review, 75(4), 681–698. https://doi.org/10.1108/TR-06-2019-0214
  • García Mestanza, J., & Bakhat, R. (2021). A fuzzy AHP-MAIRCA model for overtourism assessment: The case of Malaga province. Sustainability, 13(11), 6394. https://doi.org/10.3390/su13116394
  • Ghasemi, P., Mehdiabadi, A., Spulbar, C., & Birau, R. (2021). Ranking of sustainable medical tourism destinations in Iran: An integrated approach using fuzzy SWARA-PROMETHEE. Sustainability, 13(2), 683. https://doi.org/10.3390/su13020683
  • Gigović, L., Pamučar, D., Lukić, D., & Marković, S. (2016). GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of “Dunavski ključ” region, Serbia. Land Use Policy, 58, 348–365. https://doi.org/10.1016/j.landusepol.2016.07.030
  • Gou, X. J., Xu, Z. S., Liao, H. C., & Herrera, F. (2021). Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare. Journal of the Operational Research Society, 72(12), 2611–2630. https://doi.org/10.1080/01605682.2020.1806741
  • Guru, S., Sinha, A., & Kautish, P. (2022). Determinants of medical tourism: Application of fuzzy analytical hierarchical process. International Journal of Emerging Markets, 17. https://doi.org/10.1108/IJOEM-08-2021-1173
  • Hameed, H. B., Ali, Y., & Khan, A. U. (2022). Regional development through tourism in Balochistan under the China-Pakistan economic corridor. Journal of China Tourism Research, 18(1), 1–19. https://doi.org/10.1080/19388160.2020.1787910
  • Hasheminasab, H., Hashemkhani Zolfani, S., Kazimieras Zavadskas, E., Kharrazi, M., & Skare, M. (2022). A circular economy model for fossil fuel sustainable decisions based on MADM techniques. Economic Research-Ekonomska Istraživanja, 35(1), 564–582. https://doi.org/10.1080/1331677X.2021.1926305
  • He, J., Huang, Z., Mishra, A. R., & Alrasheedi, M. (2021). Developing a new framework for conceptualizing the emerging sustainable community-based tourism using an extended interval-valued Pythagorean fuzzy SWARA-MULTIMOORA. Technological Forecasting and Social Change, 171, 120955. https://doi.org/10.1016/j.techfore.2021.120955
  • He, P., Yang, Z., & Hou, B. (2020). A multi-attribute decision-making algorithm using Q-rung orthopair power Bonferroni mean operator and its application. Mathematics, 8(8), 1240. https://doi.org/10.3390/math8081240
  • Ho, C. Y., Tsai, B. H., Chen, C., S., & Lu, M. T. (2021). Exploring green marketing orientations toward sustainability the hospitality industry in the COVID-19 pandemic. Sustainability, 13(8), 4348. https://doi.org/10.3390/su13084348
  • Horng, J. S., Hsu, H., & Tsai, C. Y. (2018). An assessment model of corporate social responsibility practice in the tourism industry. Journal of Sustainable Tourism, 26(7), 1085–1104. https://doi.org/10.1080/09669582.2017.1388384
  • Hosseini, A., Pourahmad, A., Ayashi, A., Tzeng, G. H., Banaitis, A., & Pourahmad, A. (2021). Improving the urban heritage based on a tourism risk assessment using a hybrid fuzzy MADM method: The case study of Tehran’s central district. Journal of Multi-Criteria Decision Analysis, 28(5–6), 248–268. https://doi.org/10.1002/mcda.1746
  • Hu, M., Qiu, R. T. R., Wu, D. C., & Song, H. (2021). Hierarchical pattern recognition for tourism demand forecasting. Tourism Management, 84, 104263. https://doi.org/10.1016/j.tourman.2020.104263
  • Hu, Y. C. (2009). Fuzzy multiple-criteria decision making in the determination of critical criteria for assessing service quality of travel websites. Expert Systems with Applications, 36(3), 6439–6445. https://doi.org/10.1016/j.eswa.2008.07.046
  • Huang, A., & Baker, M. (2021). Exploring skill-based career transitions for entry-level hospitality and tourism workers. Journal of Hospitality and Tourism Management, 48, 368–373. https://doi.org/10.1016/j.jhtm.2021.07.007
  • Huang, C. H., Kao, H. Y., & Li, H. L. (2007). Decision on enterprise computing solutions for an international tourism. International Journal of Information Technology & Decision Making, 06(04), 687–700. https://doi.org/10.1142/S0219622007002666
  • Huang, J. H., & Peng, K. H. (2012). Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries. Tourism Management, 33(2), 456–465. https://doi.org/10.1016/j.tourman.2011.05.006
  • Jeong, J. S., García-Moruno, L., Hernández-Blanco, J., & Sánchez-Ríos, A. (2016). Planning of rural housings in reservoir areas under (mass) tourism based on a fuzzy DEMATEL-GIS/MCDA hybrid and participatory method for Alange, Spain. Habitat International, 57, 143–153. https://doi.org/10.1016/j.habitatint.2016.07.008
  • Jusoh, A., Mardani, A., Omar, R., Štreimikienė, D., Khalifah, Z., & Sharifara, A. (2018). Application of MCDM approach to evaluate the critical success factors of total quality management in the hospitality industry. Journal of Business Economics and Management, 19(2), 399–416. https://doi.org/10.3846/jbem.2018.5538
  • Kamassi, A., Abd Manaf, N. H., & Omar, A. (2020). The identity and role of stakeholders in the medical tourism industry: State of the art. Tourism Review, 75(3), 559–574. https://doi.org/10.1108/TR-01-2019-0031
  • Kaushal, V., & Srivastava, S. (2021). Hospitality and tourism industry amid COVID-19 pandemic: Perspectives on challenges and learnings from India. International Journal of Hospitality Management, 92, 102707. https://doi.org/10.1016/j.ijhm.2020.102707
  • Kaymaz, Ç. K., Çakır, Ç., Birinci, S., & Kızılkan, Y. (2021). GIS-Fuzzy DEMATEL MCDA model in the evaluation of the areas for ecotourism development: A case study of “Uzundere”, Erzurum-Turkey. Applied Geography, 136, 102577. https://doi.org/10.1016/j.apgeog.2021.102577
  • Kilic, H. S., Kalender, Z. T., Yalcin, A. S., Erkal, G., & Tuzkaya, G. (2021). Information system selection for hospitality industry via integrated use of IVIF-DEMATEL and IVIF-TOPSIS. Journal of Intelligent & Fuzzy Systems, 42(1), 317–335. https://doi.org/10.3233/JIFS-219194
  • Krishnan, E., Mohammed, R., Alnoor, A., Albahri, O. S., Zaidan, A. A., Alsattar, H., Albahri, A. S., Zaidan, B. B., Kou, G., Hamid, R. A., Alamoodi, A. H., & Alazab, M. (2021). Interval type 2 trapezoidal-fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications. International Journal of Intelligent Systems, 36(9), 4723–4774. https://doi.org/10.1002/int.22489
  • Lian, T., Yu, C., Wang, Z., & Hou, Z. (2017). The evaluation study on tourism websites: From the perspective of triangular intuitionistic fuzzy multiple attribute group decision making. Journal of Applied Statistics, 44(16), 2877–2889. https://doi.org/10.1080/02664763.2016.1266466
  • Liao, H. C., Wu, X. L., Liang, X. D., Yang, J. B., Xu, D. L., & Herrera, F. (2018). A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowledge-Based Systems, 153, 65–77. https://doi.org/10.1016/j.knosys.2018.04.022
  • Liao, S. K., Hsu, H. Y., & Chang, K. L. (2019). OTAs selection for hot spring hotels by a hybrid MCDM model. Mathematical Problems in Engineering, 2019, 1–9. https://doi.org/10.1155/2019/4251362
  • Lin, C. T., Lee, C., & Wu, C. S. (2010). Fuzzy group decision making in pursuit of a competitive marketing strategy. International Journal of Information Technology & Decision Making, 09(02), 281–300. https://doi.org/10.1142/S0219622010003828
  • Lin, H., & Wang, Z. J. (2017). Linguistic multi-attribute group decision making with risk preferences and its use in low-carbon tourism destination selection. International Journal of Environmental Research and Public Health, 14(9), 1078. https://doi.org/10.3390/ijerph14091078
  • Ling, C R. (2019). Methods for evaluating the government administrative power under the whole area tourism with hesitant fuzzy linguistic information. Journal of Intelligent & Fuzzy Systems, 37(2), 2019–2025. https://doi.org/10.3233/JIFS-179264
  • Litvin, S. W., Goldsmith, R. E., & Pan, B. (2018). A retrospective view of electronic word-of-mouth in hospitality and tourism management. International Journal of Contemporary Hospitality Management, 30(1), 313–325. https://doi.org/10.1108/IJCHM-08-2016-0461
  • Liu, M., & Gao, Q. (2017). Supplier evaluation in TSC based on fuzzy linguistic term sets and QFD [Paper presentation].2017 29th Chinese Control and Decision Conference (CCDC), (pp. 4671–4675). IEEE. https://doi.org/10.1109/CCDC.2017.7979322
  • Liu, M., & Wang, S. (2017). Method for evaluating the eco-tourism environmental carrying capacity with hesitant fuzzy linguistic information. Journal of Intelligent & Fuzzy Systems, 33(3), 1733–1740. https://doi.org/10.3233/JIFS-161057
  • Liu, Y., & Suk, S. (2021). Coupling and coordinating relationship between tourism economy and ecological environment—a case study of Nagasaki Prefecture, Japan. International Journal of Environmental Research and Public Health, 18(23), 12818. https://doi.org/10.3390/ijerph182312818
  • Lu, K. Y., Liao, H. C., & Zavadskas, E. K. (2021). An overview of fuzzy techniques in supply chain management: Bibliometrics, methodologies, applications and future directions. Technological and Economic Development of Economy, 27(2), 402–458. https://doi.org/10.3846/tede.2021.14433
  • Mardani, A., Jusoh, A., Zavadskas, E. K., Kazemilari, M., & Khalifah, Z. (2016). Application of multiple-criteria decision making techniques in tourism and hospitality industry: A systematic review. Transformations in Business & Economics, 15(1), 192–213. https://doi.org/10.3846/16111699.2015.1095233
  • Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., Nor, K. M. D., & Khoshnoudi, M. (2016). Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework. Energy, 117, 131–148. https://doi.org/10.1016/j.energy.2016.10.076
  • Martín, J. C., Orden Cruz, C., & Zergane, S. (2020). Islamic finance and halal tourism: An unexplored bridge for smart specialization. Sustainability, 12(14), 5736. https://doi.org/10.3390/su12145736
  • Martín, J. C., & Román, C. (2017). Measuring service quality in the hotel industry: The value of user generated content. Tourism: An International Interdisciplinary Journal, 65(4), 390–405.https://hrcak.srce.hr/191470
  • Martin, J. C., Román, C., Moreira, P., Moreno, R., & Oyarce, F. (2021). Does the access transport mode affect visitors’ satisfaction in a World Heritage City? The case of Valparaiso, Chile. Journal of Transport Geography, 91, 102969. https://doi.org/10.1016/j.jtrangeo.2021.102969
  • MerdİVencİ, F., & KarakaŞ, H. (2020). Analysis of factors affecting health tourism performance using fuzzy dematel method. Advances in Hospitality and Tourism Research, 8, 371–392. https://doi.org/10.30519/ahtr.734339
  • Merigó, J. M., Gil-Lafuente, A. M., & Yager, R. R. (2015). An overview of fuzzy research with bibliometric indicators. Applied Soft Computing, 27, 420–433. https://doi.org/10.1016/j.asoc.2014.10.035
  • Mi, X., Li, J., Liao, H., Zavadskas, E. K., Al-Barakati, A., Barnawi, A., Taylan, O., & Herrera-Viedma, E. (2019). Hospitality brand management by a score-based q-rung orthopair fuzzy V.I.K.O.R. method integrated with the best worst method. Economic Research-Ekonomska Istraživanja, 32(1), 3272–3301. https://doi.org/10.1080/1331677X.2019.1658533
  • Mijajlović, M., Puška, A., Stević, Ž., Marinković, D., Doljanica, D., Jovanović, S. V., Stojanović, I., & Beširović, J. (2020). Determining the competitiveness of spa-centers in order to achieve sustainability using a fuzzy multi-criteria decision-making model. Sustainability, 12(20), 8584. https://doi.org/10.3390/su12208584
  • Mishra, A. R., Chandel, A., & Saeidi, P. (2022). Low-carbon tourism strategy evaluation and selection using interval-valued intuitionistic fuzzy additive ratio assessment approach based on similarity measures. Environment, Development and Sustainability, 24(5), 7236–7282. https://doi.org/10.1007/s10668-021-01746-w
  • Nilashi, M., Samad, S., Manaf, A. A., Ahmadi, H., Rashid, T. A., Munshi, A., Almukadi, W., Ibrahim, O., & Hassan Ahmed, O. (2019). Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach. Computers & Industrial Engineering, 137, 106005. https://doi.org/10.1016/j.cie.2019.106005
  • Omarzadeh, D., Pourmoradian, S., Feizizadeh, B., Khallaghi, H., Sharifi, A., & Kamran, K. V. (2022). A GIS-based multiple ecotourism sustainability assessment of West Azerbaijan province, Iran. Journal of Environmental Planning and Management, 65(3), 490–513. https://doi.org/10.1080/09640568.2021.1887827
  • Ostovare, M., & Shahraki, M. R. (2019). Evaluation of hotel websites using the multicriteria analysis of PROMETHEE and GAIA: Evidence from the five-star hotels of Mashhad. Tourism Management Perspectives, 30, 107–116. https://doi.org/10.1016/j.tmp.2019.02.013
  • Ozturkoglu, Y., Sari, F. O., & Saygili, E. (2021). A new holistic conceptual framework for sustainability oriented hospitality innovation with triple bottom line perspective. Journal of Hospitality and Tourism Technology, 12(1), 39–57. https://doi.org/10.1108/JHTT-02-2019-0022
  • Pahari, S., Ghosh, D., & Pal, A. (2018). An online review-based hotel selection process using intuitionistic fuzzy TOPSIS method. Progress in computing, analytics and networking (pp. 203–214). Springer. https://doi.org/10.1007/978-981-10-7871-2_20
  • Pang, Q., Wang, H., & Xu, Z. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128–143. https://doi.org/10.1016/j.ins.2016.06.021
  • Peng, K. H., & Tzeng, G. H. (2012). Improvement tourism competitiveness using hybrid fuzzy MCDM [Paper presentation]. November In 2012 International conference on Fuzzy Theory and Its Applications (iFUZZY2012) (pp. 24–29). IEEE. https://doi.org/10.1109/iFUZZY.2012.6409670
  • Peng, G. D., Tian, S., Zhang, Y., Song, R., & Wang, Z. (2019). Single-valued neutrosophic power Shapley Choquet average operators and their applications to multi-criteria decision-making. Mathematics, 7(11), 1081. https://doi.org/10.3390/math7111081
  • Puška, A., Pamucar, D., Stojanović, I., Cavallaro, F., Kaklauskas, A., & Mardani, A. (2021). Examination of the sustainable rural tourism potential of the Brčko district of Bosnia and Herzegovina using a fuzzy approach based on group decision making. Sustainability, 13(2), 583. https://doi.org/10.3390/su13020583
  • Qin, J. (2017). Interval type-2 fuzzy Hamy mean operators and their application in multiple criteria decision making. Granular Computing, 2(4), 249–269. https://doi.org/10.1007/s41066-017-0041-x
  • Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Danish Institute for Educational Research.
  • Rashmi, R., Singh, R., Chand, M., & Avikal, S. (2019). An MCDM-based approach for selecting the best state for tourism in India. Harmony search and nature inspired optimization algorithms (pp. 17–26). Springer. https://doi.org/10.1007/978-981-13-0761-4_2
  • Rodriguez, R. M., Martinez, L., & Herrera, F. (2012). Hesitant fuzzy linguistic term sets for decision making. IEEE Transactions on Fuzzy Systems, 20(1), 109–119. https://doi.org/10.1109/TFUZZ.2011.2170076
  • Ronizi, S. R. A., Mokarram, M., & Negahban, S. (2020). Utilizing multi-criteria decision to determine the best location for the ecotourism in the east and central of Fars province, Iran. Land Use Policy, 99, 105095. https://doi.org/10.1016/j.landusepol.2020.105095
  • Roy, J., Chatterjee, K., Bandyopadhyay, A., & Kar, S. (2018). Evaluation and selection of medical tourism sites: A rough analytic hierarchy process based multi-attributive border approximation area comparison approach. Expert Systems, 35(1), e12232. https://doi.org/10.1111/exsy.12232
  • Saayman, M., Martín, J. C., & Román, C. (2016). There is no fuzziness when it comes to measuring service quality in national parks. Tourism Economics, 22(6), 1207–1224. https://doi.org/10.1177/1354816616669036
  • Scheyvens, R., & Hughes, E. (2019). Can tourism help to “end poverty in all its forms everywhere”? The challenge of tourism addressing SDG1. Journal of Sustainable Tourism, 27(7), 1061–1079. https://doi.org/10.1080/09669582.2018.1551404
  • Sheng Hshiung, T., Gwo Hshiung, T., & Kuo Ching, W. (1997). Evaluating tourist risks from fuzzy perspectives. Annals of Tourism Research, 24(4), 796–812. https://doi.org/10.1016/S0160-7383(97)00059-5
  • Sheng, Y., Xu, M., Jin, Z., & Zhang, J. (2019). Research on evaluating brand marketing of leisure tourism city with fuzzy information. Journal of Intelligent & Fuzzy Systems, 37(2), 1679–1686. https://doi.org/10.3233/JIFS-179232
  • Skondras, E., Siountri, K., Michalas, A., & Vergados, D. D. (2018). A route selection scheme for supporting virtual tours in sites with cultural interest using drones [Paper presentation].2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), (pp. 1–6). IEEE. https://doi.org/10.1109/IISA.2018.8633594
  • Stanujkic, D., Zavadskas, E. K., & Tamošaitienė, J. (2015). An approach to measuring website quality in the rural tourism industry based on atanassov intuitionistic fuzzy sets. E + M Ekonomie a Management, 18(4), 184–199. https://doi.org/10.15240/tul/001/2015-4-013
  • Tang, M., Liao, H., Yepes, V., Laurinavičius, A., & Tupėnaitė, L. (2021). Quantifying and mapping the evolution of a leader journal in the field of civil engineering. Journal of Civil Engineering and Management, 27(2), 100–116. https://doi.org/10.3846/jcem.2021.14365
  • Tian, C., & Peng, J. J. (2019). An integrated picture fuzzy anp-todim multi-criteria decision-making approach for tourism attraction recommendation. Technological and Economic Development of Economy, 26(2), 331–354. https://doi.org/10.3846/tede.2019.11412
  • Torkayesh, A. E., Malmir, B., & Asadabadi, M. R. (2021). Sustainable waste disposal technology selection: The stratified best-worst multi-criteria decision-making method. Waste Management (New York, NY), 122, 100–112. https://doi.org/10.1016/j.wasman.2020.12.040
  • Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), n/a–n/a. https://doi.org/10.1002/int.20418
  • Vahdat, V., Salehi, S., & Ahmadi, N. (2018). November Service quality assessment via enhanced data-driven MCDM model. INFORMS international conference on service science (pp. 217–230). Springer. https://doi.org/10.1007/978-3-030-04726-9_22
  • Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
  • Vatankhah, S., Bouzari, M., & Safavi, H. P. (2021). Unraveling the fuzzy predictors of stress at work. International Journal of Organizational Analysis, 29(2), 277–300. https://doi.org/10.1108/IJOA-01-2020-2005
  • Wang, X. k., Wang, S. h., Zhang, H. y., Wang, J. q., & Li, L. (2021). The recommendation method for hotel selection under traveller preference characteristics: A cloud-based multi-criteria group decision support model. Group Decision and Negotiation, 30(6), 1433–1469. https://doi.org/10.1007/s10726-021-09735-0
  • Wei, G., Tang, Y., Zhao, M., Lin, R., & Wu, J. (2020). Selecting the low-carbon tourism destination: Based on Pythagorean fuzzy taxonomy method. Mathematics, 8(5), 832. https://doi.org/10.3390/math8050832
  • Wu, L., Gao, H., Wei, C., & Zhang, J. (2019). VIKOR method for financing risk assessment of rural tourism projects under interval-valued intuitionistic fuzzy environment. Journal of Intelligent & Fuzzy Systems, 37(2), 2001–2008. https://doi.org/10.3233/JIFS-179262
  • Wu, L., Wei, G., Gao, H., & Wei, Y. (2018). Some interval-valued intuitionistic fuzzy dombi hamy mean operators and their application for evaluating the elderly tourism service quality in tourism destination. Mathematics, 6(12), 294. https://doi.org/10.3390/math6120294
  • Wu, L., Wei, G., Wu, J., & Wei, C. (2020). Some interval-valued intuitionistic fuzzy dombi heronian mean operators and their application for evaluating the ecological value of forest ecological tourism demonstration areas. International Journal of Environmental Research and Public Health, 17(3), 829. https://doi.org/10.3390/ijerph17030829
  • Wut, T. M., Xu, J. B., & Wong, S. M. (2021). Crisis management research (1985–2020) in the hospitality and tourism industry: A review and research agenda. Tourism Management, 85, 104307. https://doi.org/10.1016/j.tourman.2021.104307
  • Yang, Y., Hu, J., Sun, R., & Chen, X. (2017). Medical tourism destinations prioritization using group decision making method with neutrosophic fuzzy preference relations. Scientia Iranica, 25(6), 3744–3764. https://doi.org/10.24200/sci.2017.4514
  • Yang, X., & Wang, Z. J. (2020). Intuitionistic fuzzy hierarchical multi-criteria decision making for evaluating performances of low-carbon tourism scenic spots. International Journal of Environmental Research and Public Health, 17(17), 6259. https://doi.org/10.3390/ijerph17176259
  • Yu, S. M., Wang, J., & Wang, J. Q. (2017). An interval type-2 fuzzy likelihood-based MABAC approach and its application in selecting hotels on a tourism website. International Journal of Fuzzy Systems, 19(1), 47–61. https://doi.org/10.1007/s40815-016-0217-6
  • Yu, S. M., Wang, J., & Wang, J. Q. (2018). An extended TODIM approach with intuitionistic linguistic numbers. International Transactions in Operational Research, 25(3), 781–805. https://doi.org/10.1111/itor.12363
  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
  • Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information Sciences, 8(3), 199–249. https://doi.org/10.1016/0020-0255(75)90036-5
  • Zhang, C., Liao, H., Luo, L., & Xu, Z. (2022). Low-carbon tourism destination selection by a thermodynamic feature-based method. Journal of the Operational Research Society, 73(8), 1692–1707. https://doi.org/10.1080/01605682.2021.1908862
  • Zhu, J., Wang, H., & Xu, B. (2021). Using fuzzy AHP-PROMETHEE for market risk assessment of new-build river cruises on the Yangtze river. Sustainability, 13(22), 12932. https://doi.org/10.3390/su132212932
  • Zolfani, S. H., Sedaghat, M., Maknoon, R., & Zavadskas, E. K. (2015). Sustainable tourism: A comprehensive literature review on frameworks and applications. Economic Research-Ekonomska Istraživanja, 28(1), 1–30. https://doi.org/10.1080/1331677X.2014.995895