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Oteller ve havayolları arasındaki yatay ittifakları değerlendirmek için yeni bir CINFUS-SWARA-TOPSIS metodolojisi

Year 2025, Volume: 10 Issue: 2, 133 - 148

Abstract

Bu çalışma, Türkiye'deki Hotel Airlines Alliance için en iyi otel seçeneğinin seçilmesine odaklanarak, konaklama sektöründe stratejik karar verme sürecine yenilikçi bir yaklaşım getirmektedir. SWARA (Adım Adım Ağırlık Değerlendirme Oran Analizi) ve TOPSIS (İdeal Çözüme Benzerliğe Göre Tercih Sıralaması Tekniği) yaklaşımlarının Sürekli Sezgisel Bulanık Kümeler (CINFUSs) ortamına dahil edilmesi, karar verme prosedürlerinde özgün bir çabadır. Değerlendirme süreci on otel alternatifini içermekte ve beş kriteri dikkate almaktadır: Ölçek ve kapsam olasılığı, Marka değeri, Turizm çekiciliği, İşletme maliyeti ve Endüstriyel koşullar. İkinci aşamada, ilk aşamada elde edilen sübjektif kriter ağırlıkları, CINFUS-TOPSIS yaklaşımı kullanılarak 10 otel alternatifini sıralamak için kullanılmış ve en yüksek tercih potansiyeline ilk sırada öncelik verilmiştir. SWARA ve TOPSIS entegrasyonu, kriter ağırlıklarının belirlenmesi için uzman görüşlerini (SWARA) ve alternatiflerin sıralanması için matematiksel modellemeyi (TOPSIS) birleştiren kapsamlı bir değerlendirmeyi kolaylaştırmıştır.

References

  • Adam, I., & Amuquandoh, F. E. (2014). Hotel characteristics and location decisions in Kumasi Metropolis, Ghana. Tourism Geographies, 16(4), 653-668. https://doi.org/10.1080/14616688.2012.762689
  • Aksoy, S., & Ozbuk, M. Y. (2017). Multiple criteria decision making in hotel location: Does it relate to postpurchase consumer evaluations?. Tourism management perspectives, 22, 73-81. https://doi.org/10.1016/j.tmp.2017.02.001
  • Alkan, N., & Kahraman, C. (2023). Continuous intuitionistic fuzzy sets (CINFUS) and their AHP&TOPSIS extension: Research proposals evaluation for grant funding. Applied Soft Computing, 110579. https://doi.org/10.1016/j.asoc.2023.110579
  • Badi, I., & Pamucar, D. (2020). Supplier selection for steelmaking company by using combined Grey-MARCOS methods. Decision Making: Applications in Management and Engineering, 3(2), 37-48. https://doi.org/10.31181/dmame2003037b
  • Benitez, 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
  • Bilotkach, V., & Hüschelrath, K. (2012). Airline alliances and antitrust policy: The role of efficiencies. Journal of air transport management, 21, 76-84. https://doi.org/10.1016/j.jairtraman.2011.12.019
  • Boran FE, Genc¸ S, Kurt M, Akay D (2009) A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst Appl, 36(8), 11363–11368. https://doi.org/10.1016/j.eswa.2009.03.039
  • Buran, B., & Erçek, M. (2022). Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 204, 117519. https://doi.org/10.1016/j.eswa.2022.117519
  • Chai, N., Zhou, W., & Jiang, Z. (2023). Sustainable supplier selection using an intuitionistic and interval-valued fuzzy MCDM approach based on cumulative prospect theory. Information Sciences, 626, 710-737. https://doi.org/10.1016/j.ins.2023.01.070
  • Chaurasiya, R., & Jain, D. (2021). Generalized intuitionistic fuzzy entropy on if-marcos technique in multi-criteria decision making. Advances in Computing and Data Sciences. 1440, 592-603. Springer International Publishing. https://doi.org/10.1007/978-3-030-81462-5_52
  • Chen, K. H., Liao, C. N., & Wu, L. C. (2014). A selection model to logistic centers based on TOPSIS and MCGP methods: The case of airline industry. Journal of Applied Mathematics, 2014. https://doi.org/10.1155/2014/470128
  • Cheng, S. H. (2018a). Autocratic decision making using group recommendations based on hesitant fuzzy sets for green hotels selection and bidders selection. Information Sciences, 467, 604-617. https://doi.org/10.1016/j.ins.2018.08.014
  • Cheng, S. H. (2018b). Autocratic multiattribute group decision making for hotel location selection based on interval-valued intuitionistic fuzzy sets. Information Sciences, 427, 77-87. https://doi.org/10.1016/j.ins.2017.10.018
  • 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
  • Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943-3952. https://doi.org/10.1016/j.eswa.2009.11.022
  • Dogan, O., Deveci, M., Canıtez, F., & Kahraman, C. (2020). A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method. Soft Computing, 24, 8937-8953. https://doi.org/10.1007/s00500-019-04421-5
  • Ecer, F. (2022). An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19. Neural Computing and Applications, 34(7), 5603-5623. https://doi.oıg/10.1007/s00521-021-06728-7
  • Fan, T., Vigeant-Langlois, L., Geissler, C., Bosler, B., & Wilmking, J. (2001). Evolution of global airline strategic alliance and consolidation in the twenty-first century. Journal of Air Transport Management, 7(6), 349-360. https://doi.org/10.1016/S0969-6997(01)00027-8
  • Fu, Y. K. (2019). An integrated approach to catering supplier selection using AHP-ARAS-MCGP methodology. Journal of Air Transport Management, 75, 164-169. https://doi.org/10.1016/j.jairtraman.2019.01.011
  • Geringer, J. M. (1991). Strategic determinants of partner selection criteria in international joint ventures. Journal of international business studies, 22, 41-62. https://doi.org/10.1057/palgrave.jibs.8490291
  • Gil-Lafuente, A. M., Merigó, J. M., & Vizuete, E. (2014). Analysis of luxury resort hotels by using the fuzzy analytic hierarchy process and the fuzzy Delphi method. Economic research-Ekonomska istrazivanja, 27(1), 244-266. https://doi.org/10.1080/1331677X.2014.952106
  • Ilbahar, E., Kahraman, C., & Cebi, S. (2022). Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP. Energy, 239, 121907. https://doi.org/10.1016/j.energy.2021.121907
  • Ilbas, A., Gurdere, A., & Boran, F. E. (2023). An integrated intuitionistic fuzzy set and stochastic multi-criteria acceptability analysis approach for supplier selection. Neural Computing and Applications, 35(5), 3937-3953. https://doi.org/10.1007/s00521-022-07919-6
  • Juan, P. J., & Lin, S. Y. (2013). Selecting resort locations. Tourism Economics, 19(6), 1249-1272. https://doi.org/10.5367/te.2013.0247
  • K. Atanassov (1983). Intuitionistic fuzzy sets, in: Proceedings of VII ITKR’s Session, Sofia. https://doi.org/10.1007/978-3-7908-1870-3_1
  • Karagoz, S., Deveci, M., Simic, V., Aydin, N., & Bolukbas, U. (2020). A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul. Waste Management & Research, 38(6), 660-672. https://doi.org/10.1177/0734242X19899729
  • Lee, K. W., Kim, H. B., Kim, H. S., & Lee, D. S. (2010). The determinants of factors in FIT guests' perception of hotel location. Journal of Hospitality and Tourism Management, 17(1), 167-174. https://doi.org/10.1375/jhtm.17.1.167
  • Li, G., Law, R., Vu, H. Q., & Rong, J. (2013). Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral. Tourism Management, 36, 321-330. https://doi.org/10.1016/j.tourman.2012.10.017
  • Liou, J. J. (2012). Developing an integrated model for the selection of strategic alliance partners in the airline industry. Knowledge-Based Systems, 28, 59-67. https://doi.org/10.1016/j.knosys.2011.11.019
  • Liou, J. J., Tzeng, G. H., Tsai, C. Y., & Hsu, C. C. (2011). A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry. Applied Soft Computing, 11(4), 3515-3524. https://doi.org/10.1016/j.asoc.2011.01.024
  • Mardani, A., Jusoh, A., Zavadskas, E. K., Zakuan, N., Valipour, A., & Kazemilari, M. (2016). Proposing a new hierarchical framework for the evaluation of quality management practices: a new combined fuzzy hybrid MCDM approach. Journal of Business Economics and Management, 17(1), 1-16. https://doi.org/10.3846/16111699.2015.1061589
  • Memari A, Dargi A, Jokar MRA, Ahmad R, Rahim ARA (2019) Sustainable supplier selection: a multi-criteria intuitionistic fuzzy TOPSIS method. J Manuf Syst 50:9–24. https://doi.org/10.1016/j. jmsy.2018.11.002
  • Newell, G., & Seabrook, R. (2006). Factors influencing hotel investment decision making. Journal of Property Investment & Finance, 24(4), 279-294. https://doi.org/10.1108/14635780610674499
  • Oum, T. H., Park, J. H., & Zhang, A. (2000). Globalization and strategic alliances: The case of the airline industry.
  • Rani, P., Mishra, A. R, Ansari, M. D., &Ali, J. (2021). Assessment ofperformance oftelecom service providers using intuitionistic fuzzy grey relational analysis framework (IF-GRA). Soft Computing 25(3), 1983-1993. https://doi.oıg/10.1007/s00500-020-05269-w
  • Rhoades, D. L., & Lush, H. (1997). A typology of strategic alliances in the airline industry: Propositions for stability and duration. Journal of Air Transport Management, 3(3), 109-114. https://doi.org/10.1016/S0969-6997(97)00017-3
  • Roy, J., Kumar Sharma, H., Kar, S., Kazimieras Zavadskas, E., & Saparauskas, J. (2019). An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection. Economic research-Ekonomska istrazivanja, 32(1), 219-253. https://doi.org/10.1080/1331677X.2018.1543054
  • 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
  • Stafford, E. R. (1994). Using co-operative strategies to make alliances work. Long Range Planning, 27(3), 64-74. https://doi.org/10.1016/0024-6301(94)90191-0
  • Su, Y. (2020). Selection and application of building material suppliers based on intuitionistic fuzzy analytic hierarchy process (IFAHP) model. IEEE access, 8, 136966-136977. https://doi.org/10.1109/ACCESS.2020.3011946
  • Yang, Y., Tang, J., Luo, H., & Law, R. (2015). Hotel location evaluation: A combination of machine learning tools and web GIS. International Journal of Hospitality Management, 47, 14-24. https://doi.org/10.1016/j.ijhm.2015.02.008
  • Yu, S. M., Wang, J., Wang, J. Q., & Li, L. (2018). A multi-criteria decision-making model for hotel selection with linguistic distribution assessments. Applied soft computing, 67, 741-755. https://doi.org/10.1016/j.asoc.2017.08.009
  • Zolfani, S. H., Pourhossein, M., Yazdani, M., & Zavadskas, E. K. (2018). Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal, 57(1), 357-365. https://doi.org/10.1016/j.aej.2016.11.002
  • Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1(1), 3-28. https://doi.org/10.1016/0165-0114(78)90029-

A novel CINFUS-SWARA-TOPSIS methodology for evaluating horizontal Alliances between hotels and airlines

Year 2025, Volume: 10 Issue: 2, 133 - 148

Abstract

This study introduces an innovative approach to strategic decision-making in the hospitality business, with a focus on selecting the best hotel option for the Hotel Airlines Alliance in Türkiye. The incorporation of SWARA (Step-Wise Weight Assessment Ratio Analysis) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approaches within the Continuous Intuitionistic Fuzzy Sets (CINFUSs) environment is an original effort in decision-making procedures. The evaluation process involved ten hotel alternatives and considered five criteria: Scale and scope possibility, Brand value, Tourism attraction, Operating cost, and Industrial conditions. In the second stage, the subjective criterion weights obtained in the first stage were utilized to rank the 10 hotel alternatives using the CINFUS-TOPSIS approach, with the highest preference potential being prioritized in the first position. The integration of SWARA and TOPSIS facilitated a comprehensive assessment that combined expert opinions (SWARA) for determining criteria weights and mathematical modeling (TOPSIS) for ranking alternatives.

References

  • Adam, I., & Amuquandoh, F. E. (2014). Hotel characteristics and location decisions in Kumasi Metropolis, Ghana. Tourism Geographies, 16(4), 653-668. https://doi.org/10.1080/14616688.2012.762689
  • Aksoy, S., & Ozbuk, M. Y. (2017). Multiple criteria decision making in hotel location: Does it relate to postpurchase consumer evaluations?. Tourism management perspectives, 22, 73-81. https://doi.org/10.1016/j.tmp.2017.02.001
  • Alkan, N., & Kahraman, C. (2023). Continuous intuitionistic fuzzy sets (CINFUS) and their AHP&TOPSIS extension: Research proposals evaluation for grant funding. Applied Soft Computing, 110579. https://doi.org/10.1016/j.asoc.2023.110579
  • Badi, I., & Pamucar, D. (2020). Supplier selection for steelmaking company by using combined Grey-MARCOS methods. Decision Making: Applications in Management and Engineering, 3(2), 37-48. https://doi.org/10.31181/dmame2003037b
  • Benitez, 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
  • Bilotkach, V., & Hüschelrath, K. (2012). Airline alliances and antitrust policy: The role of efficiencies. Journal of air transport management, 21, 76-84. https://doi.org/10.1016/j.jairtraman.2011.12.019
  • Boran FE, Genc¸ S, Kurt M, Akay D (2009) A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Syst Appl, 36(8), 11363–11368. https://doi.org/10.1016/j.eswa.2009.03.039
  • Buran, B., & Erçek, M. (2022). Public transportation business model evaluation with Spherical and Intuitionistic Fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 204, 117519. https://doi.org/10.1016/j.eswa.2022.117519
  • Chai, N., Zhou, W., & Jiang, Z. (2023). Sustainable supplier selection using an intuitionistic and interval-valued fuzzy MCDM approach based on cumulative prospect theory. Information Sciences, 626, 710-737. https://doi.org/10.1016/j.ins.2023.01.070
  • Chaurasiya, R., & Jain, D. (2021). Generalized intuitionistic fuzzy entropy on if-marcos technique in multi-criteria decision making. Advances in Computing and Data Sciences. 1440, 592-603. Springer International Publishing. https://doi.org/10.1007/978-3-030-81462-5_52
  • Chen, K. H., Liao, C. N., & Wu, L. C. (2014). A selection model to logistic centers based on TOPSIS and MCGP methods: The case of airline industry. Journal of Applied Mathematics, 2014. https://doi.org/10.1155/2014/470128
  • Cheng, S. H. (2018a). Autocratic decision making using group recommendations based on hesitant fuzzy sets for green hotels selection and bidders selection. Information Sciences, 467, 604-617. https://doi.org/10.1016/j.ins.2018.08.014
  • Cheng, S. H. (2018b). Autocratic multiattribute group decision making for hotel location selection based on interval-valued intuitionistic fuzzy sets. Information Sciences, 427, 77-87. https://doi.org/10.1016/j.ins.2017.10.018
  • 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
  • Demirel, T., Demirel, N. Ç., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943-3952. https://doi.org/10.1016/j.eswa.2009.11.022
  • Dogan, O., Deveci, M., Canıtez, F., & Kahraman, C. (2020). A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method. Soft Computing, 24, 8937-8953. https://doi.org/10.1007/s00500-019-04421-5
  • Ecer, F. (2022). An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19. Neural Computing and Applications, 34(7), 5603-5623. https://doi.oıg/10.1007/s00521-021-06728-7
  • Fan, T., Vigeant-Langlois, L., Geissler, C., Bosler, B., & Wilmking, J. (2001). Evolution of global airline strategic alliance and consolidation in the twenty-first century. Journal of Air Transport Management, 7(6), 349-360. https://doi.org/10.1016/S0969-6997(01)00027-8
  • Fu, Y. K. (2019). An integrated approach to catering supplier selection using AHP-ARAS-MCGP methodology. Journal of Air Transport Management, 75, 164-169. https://doi.org/10.1016/j.jairtraman.2019.01.011
  • Geringer, J. M. (1991). Strategic determinants of partner selection criteria in international joint ventures. Journal of international business studies, 22, 41-62. https://doi.org/10.1057/palgrave.jibs.8490291
  • Gil-Lafuente, A. M., Merigó, J. M., & Vizuete, E. (2014). Analysis of luxury resort hotels by using the fuzzy analytic hierarchy process and the fuzzy Delphi method. Economic research-Ekonomska istrazivanja, 27(1), 244-266. https://doi.org/10.1080/1331677X.2014.952106
  • Ilbahar, E., Kahraman, C., & Cebi, S. (2022). Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP. Energy, 239, 121907. https://doi.org/10.1016/j.energy.2021.121907
  • Ilbas, A., Gurdere, A., & Boran, F. E. (2023). An integrated intuitionistic fuzzy set and stochastic multi-criteria acceptability analysis approach for supplier selection. Neural Computing and Applications, 35(5), 3937-3953. https://doi.org/10.1007/s00521-022-07919-6
  • Juan, P. J., & Lin, S. Y. (2013). Selecting resort locations. Tourism Economics, 19(6), 1249-1272. https://doi.org/10.5367/te.2013.0247
  • K. Atanassov (1983). Intuitionistic fuzzy sets, in: Proceedings of VII ITKR’s Session, Sofia. https://doi.org/10.1007/978-3-7908-1870-3_1
  • Karagoz, S., Deveci, M., Simic, V., Aydin, N., & Bolukbas, U. (2020). A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul. Waste Management & Research, 38(6), 660-672. https://doi.org/10.1177/0734242X19899729
  • Lee, K. W., Kim, H. B., Kim, H. S., & Lee, D. S. (2010). The determinants of factors in FIT guests' perception of hotel location. Journal of Hospitality and Tourism Management, 17(1), 167-174. https://doi.org/10.1375/jhtm.17.1.167
  • Li, G., Law, R., Vu, H. Q., & Rong, J. (2013). Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral. Tourism Management, 36, 321-330. https://doi.org/10.1016/j.tourman.2012.10.017
  • Liou, J. J. (2012). Developing an integrated model for the selection of strategic alliance partners in the airline industry. Knowledge-Based Systems, 28, 59-67. https://doi.org/10.1016/j.knosys.2011.11.019
  • Liou, J. J., Tzeng, G. H., Tsai, C. Y., & Hsu, C. C. (2011). A hybrid ANP model in fuzzy environments for strategic alliance partner selection in the airline industry. Applied Soft Computing, 11(4), 3515-3524. https://doi.org/10.1016/j.asoc.2011.01.024
  • Mardani, A., Jusoh, A., Zavadskas, E. K., Zakuan, N., Valipour, A., & Kazemilari, M. (2016). Proposing a new hierarchical framework for the evaluation of quality management practices: a new combined fuzzy hybrid MCDM approach. Journal of Business Economics and Management, 17(1), 1-16. https://doi.org/10.3846/16111699.2015.1061589
  • Memari A, Dargi A, Jokar MRA, Ahmad R, Rahim ARA (2019) Sustainable supplier selection: a multi-criteria intuitionistic fuzzy TOPSIS method. J Manuf Syst 50:9–24. https://doi.org/10.1016/j. jmsy.2018.11.002
  • Newell, G., & Seabrook, R. (2006). Factors influencing hotel investment decision making. Journal of Property Investment & Finance, 24(4), 279-294. https://doi.org/10.1108/14635780610674499
  • Oum, T. H., Park, J. H., & Zhang, A. (2000). Globalization and strategic alliances: The case of the airline industry.
  • Rani, P., Mishra, A. R, Ansari, M. D., &Ali, J. (2021). Assessment ofperformance oftelecom service providers using intuitionistic fuzzy grey relational analysis framework (IF-GRA). Soft Computing 25(3), 1983-1993. https://doi.oıg/10.1007/s00500-020-05269-w
  • Rhoades, D. L., & Lush, H. (1997). A typology of strategic alliances in the airline industry: Propositions for stability and duration. Journal of Air Transport Management, 3(3), 109-114. https://doi.org/10.1016/S0969-6997(97)00017-3
  • Roy, J., Kumar Sharma, H., Kar, S., Kazimieras Zavadskas, E., & Saparauskas, J. (2019). An extended COPRAS model for multi-criteria decision-making problems and its application in web-based hotel evaluation and selection. Economic research-Ekonomska istrazivanja, 32(1), 219-253. https://doi.org/10.1080/1331677X.2018.1543054
  • 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
  • Stafford, E. R. (1994). Using co-operative strategies to make alliances work. Long Range Planning, 27(3), 64-74. https://doi.org/10.1016/0024-6301(94)90191-0
  • Su, Y. (2020). Selection and application of building material suppliers based on intuitionistic fuzzy analytic hierarchy process (IFAHP) model. IEEE access, 8, 136966-136977. https://doi.org/10.1109/ACCESS.2020.3011946
  • Yang, Y., Tang, J., Luo, H., & Law, R. (2015). Hotel location evaluation: A combination of machine learning tools and web GIS. International Journal of Hospitality Management, 47, 14-24. https://doi.org/10.1016/j.ijhm.2015.02.008
  • Yu, S. M., Wang, J., Wang, J. Q., & Li, L. (2018). A multi-criteria decision-making model for hotel selection with linguistic distribution assessments. Applied soft computing, 67, 741-755. https://doi.org/10.1016/j.asoc.2017.08.009
  • Zolfani, S. H., Pourhossein, M., Yazdani, M., & Zavadskas, E. K. (2018). Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal, 57(1), 357-365. https://doi.org/10.1016/j.aej.2016.11.002
  • Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1(1), 3-28. https://doi.org/10.1016/0165-0114(78)90029-
There are 44 citations in total.

Details

Primary Language English
Subjects Tourism (Other)
Journal Section Contents
Authors

Umut Aydın 0000-0003-4802-8793

Early Pub Date March 6, 2025
Publication Date
Submission Date March 19, 2024
Acceptance Date February 6, 2025
Published in Issue Year 2025 Volume: 10 Issue: 2

Cite

APA Aydın, U. (2025). A novel CINFUS-SWARA-TOPSIS methodology for evaluating horizontal Alliances between hotels and airlines. Journal of Multidisciplinary Academic Tourism, 10(2), 133-148.



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