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Dairesel Sezgisel Bulanık Çok Kriterli Karar Verme Metodolojisi

Year 2021, Issue: 28, 900 - 905, 30.11.2021
https://doi.org/10.31590/ejosat.1011888

Abstract

Sağlık turizmi günümüzün hızla büyüyen ekonomik alanlarından biridir. Sağlık turizmininden elde edilecek gelirleri arttırmak için tanıtım çalışmaları yürütülmelidir. Bu çalışmaların etkili bir şekilde yapılması için en iyi merkezin seçilmesi gereklidir. En iyi sağlık turizmi merkezi seçiminde çok kriterli karar verme yaklaşımlarından faydalanılabilir. Bu çalışmada, Türkiye’deki dört alternatif sağlık turizmi merkezinin değerlendirilmesi için bir bulanık çok kriterli karar verme yöntemi önerilmektedir. Alternatifler, uzmanlar tarafından sezgisel bulanık sayılarla değerlendirilerek yeni bir dairesel sezgisel bulanık çok kriterli karar verme yaklaşımı geliştirilmiştir. Mevcut literatüre ek olarak, bu çalışma yeni durulaştırma fonksiyonları önererek dairesel sezgisel bulanık kümelere katkıda bulunmaktadır. Uygulamanın, gelecekteki dairesel sezgisel bulanık çok kriterli karar verme yöntemlerinin uygulanmasına rehberlik etmesi amaçlamaktadır.

References

  • Akinboade, O. A., & Braimoh, L. A. (2010). International tourism and economic development in South Africa: A Granger causality test. International Journal of Tourism Research, 12(2), 149-163. doi: 10.1002/jtr.743
  • Amouzagar, S., Mojaradi, Z., Izanloo, A., Beikzadeh, S., & Milani, M. (2016). Qualitative examination of health tourism and its challenges. International Journal of Travel Medicine and Global Health, 4(3), 88-91. doi: 10.21859/IJTMGH-040304
  • Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87-96. doi: 10.1016/S0165-0114(86)80034-3
  • Atanassov, K. T. (2020). Circular intuitionistic fuzzy sets. Journal of Intelligent & Fuzzy Systems, 39(5), 5981-5986. doi: 10.3233/JIFS-189072
  • Carrera, P. M., & Bridges, J. F. (2006). Globalization and healthcare: understanding health and medical tourism. Expert review of pharmacoeconomics & outcomes research, 6(4), 447-454. doi: 10.1586/14737167.6.4.447
  • Chen, S. M., & Tan, J. M. (1994). Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy sets and systems, 67(2), 163-172. doi: 10.1016/0165-0114(94)90084-1
  • Çakır, E., Taş, M.A. & Ulukan, Z. (2021). Circular Intuitionistic Fuzzy Sets in Multi Criteria Decision Making. 11th International Conference On Theory And Application Of Soft Computing, Computing With Words, Perception And Artificial Intelligence (ICSCCW 2021). Antalya, Turkey. 23 - 24 August 2021.
  • Çakır, E., & Ulukan, Z. (2020). Sustainable health tourism site selection with a fuzzy linguistic prolog. In Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020), pp. 1456-1463.
  • 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. doi: 10.3390/su13020683
  • Han, J. S., Lee, T. J., & Ryu, K. (2018). The promotion of health tourism products for domestic tourists. International Journal of Tourism Research, 20(2), 137-146. doi: 10.1002/jtr.2161
  • Hung, Y. H., Ma, J., Chou, J. C. L., & Tzeng, G. H. (2014, September). Improving medical tourism services based on a hybrid MCDM model combined by DANP and VIKOR techniques. In 2014 IEEE International Conference on Management of Innovation and Technology (pp. 486-488). IEEE. doi: 10.1109/ICMIT.2014.6942475
  • Izadi, M., Ayoobian, A., Nasiri, T., Joneidi, N., Fazel, M., & Hosseinpourfard, M. J. (2012). Situation of health tourism in Iran; opportunity or threat. Journal of Military Medicine, 14(2), 69-75.
  • Kahraman, C., & Alkan, N. (2021). Circular intuitionistic fuzzy TOPSIS method with vague membership functions: Supplier selection application context. Notes on Intuitionistic Fuzzy Set, 27(1), 24-52. doi: 10.7546/nifs.2021.27.1.24-52
  • Kantar, G., & Işık, E. (2014). Türkiye’de sağlık turizmi. Sağlık Akademisyenleri Dergisi, 1(1), 15-20. https://dergipark.org.tr/en/download/article-file/752395
  • Kušen, E. (2011). Positioning medical tourism in the broader framework of health tourism. Tourism: an international interdisciplinary journal, 59(1), 95-99.
  • Kutlu Gündoğdu, F., & Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of intelligent & fuzzy systems, 36(1), 337-352. doi: 10.3233/JIFS-181401
  • Lee, C. W., & Li, C. (2019). The process of constructing a health tourism destination index. International journal of environmental research and public health, 16(22), 4579. doi: 10.3390/ijerph16224579
  • Pan, X., Yang, Z., Han, F., Lu, Y., & Liu, Q. (2019). Evaluating potential areas for mountain wellness tourism: A case study of Ili, Xinjiang Province. Sustainability, 11(20), 5668. doi: 10.3390/su11205668
  • 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. doi: 10.1111/exsy.12232
  • Sariisik, M., Turkay, O., & Akova, O. (2011). How to manage yacht tourism in Turkey: A swot analysis and related strategies. Procedia-Social and Behavioral Sciences, 24, 1014-1025. doi: 10.1016/j.sbspro.2011.09.041
  • Smarandache, F. (1998). Neutrosophy: neutrosophic probability, set, and logic: analytic synthesis & synthetic analysis.
  • T. C. Kültür ve Turizm Bakanlığı. (2021). Türkiye'de Sağlık Turizmine Yönelik Yapılan Çalışmaları ve Etkinlikler. https://yigm.ktb.gov.tr/TR-11479/turkiye39de-saglik-turizmine-yonelik-yapilan-calismalar-.html. Erişim Tarihi: 14.07.2021
  • Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), 529-539. doi: 10.1002/int.20418
  • Tureac, C. E., & Turtureanu, A. (2010). Types and forms of tourism. Acta Universitatis Danubius. Œconomica, 4(1). http://www.journals.univ-danubius.ro/index.php/oeconomica/article/view/60/56
  • Türkiye Seyahat Acentaları Birliği (TÜRSAB). (2021). Turizm gelirleri. https://www.tursab.org.tr/istatistikler-icerik/turizm-geliri. Erişim Tarihi: 10.07.2021
  • Uluslararası Sağlık Hizmetleri A. Ş. (USHAŞ). (2021). Sağlık Turizmi Verileri. https://www.ushas.com.tr/saglik-turizmi-verileri/ Erişim Tarihi: 10.07.2021
  • World Tourism Organization (UNWTO). (2018). Exploring Health Tourism – Executive Summary. https://www.e-unwto.org/doi/pdf/10.18111/9789284420308 Erişim Tarihi: 11.07.2021
  • World Tourism Organization (UNWTO). (2019). International Tourism Highlights, 2019 Edition, Madrid. doi: 10.18111/9789284421152 Erişim Tarihi: 11.07.2021
  • Xu, Z. (2007). Intuitionistic fuzzy aggregation operators. IEEE Transactions on fuzzy systems, 15(6), 1179-1187. doi: 10.1109/TFUZZ.2006.890678
  • Yager, R. R. (2013, June). Pythagorean fuzzy subsets. In 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS) (pp. 57-61). IEEE. doi: 10.1109/IFSA-NAFIPS.2013.6608375
  • Yang, J. Y., Paek, S., Kim, T. T., & Lee, T. H. (2015). Health tourism: Needs for healing experience and intentions for transformation in wellness resorts in Korea. International Journal of Contemporary Hospitality Management, 27(8), 1881-1904. doi: 10.1108/IJCHM-11-2013-0505
  • Yu, X., & Xu, Z. (2013). Prioritized intuitionistic fuzzy aggregation operators. Information Fusion, 14(1), 108-116. doi: 10.1016/j.inffus.2012.01.011
  • Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338-353. doi: 10.1016/S0019-9958(65)90241-X

Circular Intuitionistic Fuzzy Multi-Criteria Decision Making Methodology

Year 2021, Issue: 28, 900 - 905, 30.11.2021
https://doi.org/10.31590/ejosat.1011888

Abstract

Health tourism is one of today's rapidly growing economic areas. Promotional activities must be carried out in order to increase the income to be obtained from health tourism. It is necessary to select the best center for these studies to be prepared effectively. Multi-criteria decision-making approaches can be considered in use of the selection of the best health tourism center. This study proposes a fuzzy multi criteria decision making methodology in evaluation of four alternative health tourism centers in Turkey. A new circular intuitionistic fuzzy multi-criteria decision-making approach was developed by evaluating the alternatives with intuitionistic fuzzy numbers by experts. In addition to the existing literature, this study contributes to circular intuitionistic fuzzy sets by proposing new defuzzification functions. The study aims to guide future circular intuitionistic fuzzy multi-criteria decision making approaches.

References

  • Akinboade, O. A., & Braimoh, L. A. (2010). International tourism and economic development in South Africa: A Granger causality test. International Journal of Tourism Research, 12(2), 149-163. doi: 10.1002/jtr.743
  • Amouzagar, S., Mojaradi, Z., Izanloo, A., Beikzadeh, S., & Milani, M. (2016). Qualitative examination of health tourism and its challenges. International Journal of Travel Medicine and Global Health, 4(3), 88-91. doi: 10.21859/IJTMGH-040304
  • Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87-96. doi: 10.1016/S0165-0114(86)80034-3
  • Atanassov, K. T. (2020). Circular intuitionistic fuzzy sets. Journal of Intelligent & Fuzzy Systems, 39(5), 5981-5986. doi: 10.3233/JIFS-189072
  • Carrera, P. M., & Bridges, J. F. (2006). Globalization and healthcare: understanding health and medical tourism. Expert review of pharmacoeconomics & outcomes research, 6(4), 447-454. doi: 10.1586/14737167.6.4.447
  • Chen, S. M., & Tan, J. M. (1994). Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy sets and systems, 67(2), 163-172. doi: 10.1016/0165-0114(94)90084-1
  • Çakır, E., Taş, M.A. & Ulukan, Z. (2021). Circular Intuitionistic Fuzzy Sets in Multi Criteria Decision Making. 11th International Conference On Theory And Application Of Soft Computing, Computing With Words, Perception And Artificial Intelligence (ICSCCW 2021). Antalya, Turkey. 23 - 24 August 2021.
  • Çakır, E., & Ulukan, Z. (2020). Sustainable health tourism site selection with a fuzzy linguistic prolog. In Developments of Artificial Intelligence Technologies in Computation and Robotics: Proceedings of the 14th International FLINS Conference (FLINS 2020), pp. 1456-1463.
  • 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. doi: 10.3390/su13020683
  • Han, J. S., Lee, T. J., & Ryu, K. (2018). The promotion of health tourism products for domestic tourists. International Journal of Tourism Research, 20(2), 137-146. doi: 10.1002/jtr.2161
  • Hung, Y. H., Ma, J., Chou, J. C. L., & Tzeng, G. H. (2014, September). Improving medical tourism services based on a hybrid MCDM model combined by DANP and VIKOR techniques. In 2014 IEEE International Conference on Management of Innovation and Technology (pp. 486-488). IEEE. doi: 10.1109/ICMIT.2014.6942475
  • Izadi, M., Ayoobian, A., Nasiri, T., Joneidi, N., Fazel, M., & Hosseinpourfard, M. J. (2012). Situation of health tourism in Iran; opportunity or threat. Journal of Military Medicine, 14(2), 69-75.
  • Kahraman, C., & Alkan, N. (2021). Circular intuitionistic fuzzy TOPSIS method with vague membership functions: Supplier selection application context. Notes on Intuitionistic Fuzzy Set, 27(1), 24-52. doi: 10.7546/nifs.2021.27.1.24-52
  • Kantar, G., & Işık, E. (2014). Türkiye’de sağlık turizmi. Sağlık Akademisyenleri Dergisi, 1(1), 15-20. https://dergipark.org.tr/en/download/article-file/752395
  • Kušen, E. (2011). Positioning medical tourism in the broader framework of health tourism. Tourism: an international interdisciplinary journal, 59(1), 95-99.
  • Kutlu Gündoğdu, F., & Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of intelligent & fuzzy systems, 36(1), 337-352. doi: 10.3233/JIFS-181401
  • Lee, C. W., & Li, C. (2019). The process of constructing a health tourism destination index. International journal of environmental research and public health, 16(22), 4579. doi: 10.3390/ijerph16224579
  • Pan, X., Yang, Z., Han, F., Lu, Y., & Liu, Q. (2019). Evaluating potential areas for mountain wellness tourism: A case study of Ili, Xinjiang Province. Sustainability, 11(20), 5668. doi: 10.3390/su11205668
  • 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. doi: 10.1111/exsy.12232
  • Sariisik, M., Turkay, O., & Akova, O. (2011). How to manage yacht tourism in Turkey: A swot analysis and related strategies. Procedia-Social and Behavioral Sciences, 24, 1014-1025. doi: 10.1016/j.sbspro.2011.09.041
  • Smarandache, F. (1998). Neutrosophy: neutrosophic probability, set, and logic: analytic synthesis & synthetic analysis.
  • T. C. Kültür ve Turizm Bakanlığı. (2021). Türkiye'de Sağlık Turizmine Yönelik Yapılan Çalışmaları ve Etkinlikler. https://yigm.ktb.gov.tr/TR-11479/turkiye39de-saglik-turizmine-yonelik-yapilan-calismalar-.html. Erişim Tarihi: 14.07.2021
  • Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), 529-539. doi: 10.1002/int.20418
  • Tureac, C. E., & Turtureanu, A. (2010). Types and forms of tourism. Acta Universitatis Danubius. Œconomica, 4(1). http://www.journals.univ-danubius.ro/index.php/oeconomica/article/view/60/56
  • Türkiye Seyahat Acentaları Birliği (TÜRSAB). (2021). Turizm gelirleri. https://www.tursab.org.tr/istatistikler-icerik/turizm-geliri. Erişim Tarihi: 10.07.2021
  • Uluslararası Sağlık Hizmetleri A. Ş. (USHAŞ). (2021). Sağlık Turizmi Verileri. https://www.ushas.com.tr/saglik-turizmi-verileri/ Erişim Tarihi: 10.07.2021
  • World Tourism Organization (UNWTO). (2018). Exploring Health Tourism – Executive Summary. https://www.e-unwto.org/doi/pdf/10.18111/9789284420308 Erişim Tarihi: 11.07.2021
  • World Tourism Organization (UNWTO). (2019). International Tourism Highlights, 2019 Edition, Madrid. doi: 10.18111/9789284421152 Erişim Tarihi: 11.07.2021
  • Xu, Z. (2007). Intuitionistic fuzzy aggregation operators. IEEE Transactions on fuzzy systems, 15(6), 1179-1187. doi: 10.1109/TFUZZ.2006.890678
  • Yager, R. R. (2013, June). Pythagorean fuzzy subsets. In 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS) (pp. 57-61). IEEE. doi: 10.1109/IFSA-NAFIPS.2013.6608375
  • Yang, J. Y., Paek, S., Kim, T. T., & Lee, T. H. (2015). Health tourism: Needs for healing experience and intentions for transformation in wellness resorts in Korea. International Journal of Contemporary Hospitality Management, 27(8), 1881-1904. doi: 10.1108/IJCHM-11-2013-0505
  • Yu, X., & Xu, Z. (2013). Prioritized intuitionistic fuzzy aggregation operators. Information Fusion, 14(1), 108-116. doi: 10.1016/j.inffus.2012.01.011
  • Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338-353. doi: 10.1016/S0019-9958(65)90241-X
There are 33 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Esra Çakır 0000-0003-4134-7679

Mehmet Ali Taş 0000-0003-3333-7972

Publication Date November 30, 2021
Published in Issue Year 2021 Issue: 28

Cite

APA Çakır, E., & Taş, M. A. (2021). Dairesel Sezgisel Bulanık Çok Kriterli Karar Verme Metodolojisi. Avrupa Bilim Ve Teknoloji Dergisi(28), 900-905. https://doi.org/10.31590/ejosat.1011888