Research Article
BibTex RIS Cite

Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method

Year 2022, Volume: 1 Issue: 1, 63 - 77, 01.10.2022

Abstract

In health services planning, it is aimed to use the existing resources in the most effective way to meet the needs and expectations of the society. Health services planning can be thought of as a multi-criteria decision-making problem, due to the varying expectations, needs and conditions from country to country. In this study, the problem of location selection of specific health service units, which requires high cost and human resource planning, is discussed. 4 main criteria were determined for the location selection problem of specialty health service units and the order of preference of 9 alternatives was made. In this study, the WASPAS method, which is an integration of Weighted Product Model (WPM) and Weighted Sum Model (WSM), was used by incorporating the uncertainties in the evaluations into the model using Pythagorean fuzzy sets.

References

  • Türkiye İstatistik Kurumu. (2021, March 18). İstatistiklerle Yaşlılar, 2020. Türkiye İstatistik Kurumu Haber Bülteni, 1–10. https://data.tuik.gov.tr/Bulten/Index?p=Istatistiklerle-Yaslilar-2020-37227
  • Akdağ, R., Tosun, N., Çinal, A., Yeşilyurt, H., Şencan, İ., Koç, O., Dilsiz, A., Bayraktar, G., Küçük, A., Yastı, A. Ç., Baş, A. Y., Kervan, Ü., & Göksel, F. (Eds.). (2011). Türkiye’de Özellikli Planlama Gerektiren Sağlık Hizmetler 2011-2023. T.C. Sağlık Bakanlığı Tedavi Hizmetleri Genel Müdürlüğü.
  • Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2012). Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical Engineering, 122(6), 3–6. doi: https://doi.org/10.5755/j01.eee.122.6.1810
  • Dang, R., Li, X., Li, C., & Xu, C. (2021). A MCDM framework for site selection of island photovoltaic charging station based on new criteria identification and a hybrid fuzzy approach. Sustainable Cities and Society, 74, 103230. doi: https://doi.org/10.1016/j.scs.2021.103230
  • Yılmaz, M., & Atan, T. (2021). Hospital site selection using fuzzy EDAS method: case study application for districts of İstanbul. Journal of Intelligent & Fuzzy Systems, 41(2), 2591–2602. doi: https://doi.org/10.3233/JIFS201757
  • Boyacı, A. Ç., & Şişman, A. (2022). Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets. Environmental Science and Pollution Research, 29(2), 1985–1997. doi: https://doi.org/10.1007/s11356-021-15703-7
  • Karaşan, A., Kaya, İ., & Erdoğan, M. (2020). Location selection of electric vehicles charging stations by using a fuzzy MCDM method: a case study in Turkey. Neural Computing and Applications, 32(9), 4553–4574. doi: https://doi.org/10.1007/s00521-018-3752-2
  • Lin, M., Huang, C., & Xu, Z. (2020). MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable Cities and Society, 53, 101873. doi: https://doi.org/10.1016/j.scs.2019.101873
  • Wu, Y., Zhang, T., Xu, C., Zhang, B., Li, L., Ke, Y., Yan, Y., & Xu, R. (2019). Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: A two-stage framework. Energy Conversion and Management, 199, 112066. doi: https://doi.org/10.1016/j.enconman.2019.112066
  • Şahin, T., Ocak, S., & Top, M. (2019). Analytic hierarchy process for hospital site selection. Health Policy and Technology, 8(1), 42–50. doi: https://doi.org/10.1016/j.hlpt.2019.02.005
  • Zečević, S., Tadić, S., & Krstić, M. (2017). Intermodal Transport Terminal Location Selection Using a Novel Hybrid MCDM Model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(06), 853–876. doi: https://doi.org/10.1142/S0218488517500362
  • Kharat, M. G., Kamble, S. J., Raut, R. D., Kamble, S. S., & Dhume, S. M. (2016). Modeling landfill site selection using an integrated fuzzy MCDM approach. Modeling Earth Systems and Environment, 2(2), 53. doi: https://doi.org/10.1007/s40808-016-0106-x
  • Vahidnia, M. H., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048–3056. doi: https://doi.org/10.1016/j.jenvman.2009.04.010
  • Al-Barakati, A., Mishra, A. R., Mardani, A., & Rani, P. (2022). An extended interval-valued Pythagorean fuzzy WASPAS method based on new similarity measures to evaluate the renewable energy sources. Applied Soft Computing, 120, 108689. doi: https://doi.org/10.1016/j.asoc.2022.108689
  • Mishra, A. R., & Rani, P. (2021). Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method. Complex & Intelligent Systems, 7(5), 2469–2484. doi: https://doi.org/10.1007/s40747- 021-00407-9
  • Alrasheedi, M., Mardani, A., Mishra, A. R., Rani, P., & Loganathan, N. (2022). An extended framework to evaluate sustainable suppliers in manufacturing companies using a new Pythagorean fuzzy entropy-SWARAWASPAS decision-making approach. Journal of Enterprise Information Management, 35(2), 333–357. doi: https://doi.org/10.1108/JEIM-07-2020-0263
  • Ayyildiz, E., Erdogan, M., & Taskin Gumus, A. (2021). A Pythagorean fuzzy number-based integration of AHP and WASPAS methods for refugee camp location selection problem: a real case study for Istanbul, Turkey. Neural Computing and Applications, 33(22), 15751–15768. doi: https://doi.org/10.1007/s00521-021-06195-0
  • Ayyildiz, E., & Taskin Gumus, A. (2020). A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul. Environmental Science and Pollution Research, 27(29), 36109–36120. doi: https://doi.org/10.1007/s11356-020-09640-0
  • Kahraman, C., Onar, S. Ç., Öztayşi Başar, & İlbahar, E. (2019). Selection Among GSM Operators Using Pythagorean Fuzzy WASPAS Method. Journal of Multiple-Valued Logic & Soft Computing, 33(4/5), 459–469.
  • Ilbahar, E., Cebi, S., & Kahraman, C. (2019). A state-of-the-art review on multi-attribute renewable energy decision making. Energy Strategy Reviews, 25, 18–33. doi: https://doi.org/10.1016/j.esr.2019.04.014
  • Ilbahar, E., & Kahraman, C. (2018). Retail store performance measurement using a novel interval-valued Pythagorean fuzzy WASPAS method. Journal of Intelligent & Fuzzy Systems, 35(3), 3835–3846. doi: https://doi.org/10.3233/JIFS-18730
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213–229. doi: https://doi.org/10.1016/j.jclepro.2016.07.031
  • World health statistics 2022: monitoring health for the SDGs, sustainable development goals. (2022). World Health Organization. Licence: CC BY-NC-SA 3.0 IGO.

Pisagor Bulanık WASPAS Yöntemiyle Özellikli Tıbbi Hizmet Birimlerinin Yer Seçimi

Year 2022, Volume: 1 Issue: 1, 63 - 77, 01.10.2022

Abstract

Sağlık hizmetleri planlamasında mevcut kaynakların, toplumun ihtiyaç ve beklentilerini karşılayacak şekilde en etkin şekilde kullanılması hedeflenmektedir. Ülkeden ülkeye değişen beklenti, ihtiyaçlar ve şartların olması nedeniyle, sağlık hizmetleri planlaması, çok kriterli karar verme problemi olarak düşünebilir. Bu çalışmada, yüksek maliyetli ve insan kaynağı planlaması gerektiren özellikli sağlık hizmet birimlerinin yer seçimi problemi ele alınmıştır. Özellikli sağlık hizmet birimlerinin yer seçimi problemi için 4 ana kriterler belirlenmiş ve 9 alternatifin tercih sırası yapılmıştır. Bu çalışmada, Pisagor bulanık kümeleri kullanılarak değerlendirmelerdeki belirsizlikler modele dahil edilerek, Ağırlıklı Çarpım Modeli (WPM) ve Ağırlıklı Toplam Model (WSM) entegrasyonu olan WASPAS yöntemi kullanılmıştır.

References

  • Türkiye İstatistik Kurumu. (2021, March 18). İstatistiklerle Yaşlılar, 2020. Türkiye İstatistik Kurumu Haber Bülteni, 1–10. https://data.tuik.gov.tr/Bulten/Index?p=Istatistiklerle-Yaslilar-2020-37227
  • Akdağ, R., Tosun, N., Çinal, A., Yeşilyurt, H., Şencan, İ., Koç, O., Dilsiz, A., Bayraktar, G., Küçük, A., Yastı, A. Ç., Baş, A. Y., Kervan, Ü., & Göksel, F. (Eds.). (2011). Türkiye’de Özellikli Planlama Gerektiren Sağlık Hizmetler 2011-2023. T.C. Sağlık Bakanlığı Tedavi Hizmetleri Genel Müdürlüğü.
  • Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2012). Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical Engineering, 122(6), 3–6. doi: https://doi.org/10.5755/j01.eee.122.6.1810
  • Dang, R., Li, X., Li, C., & Xu, C. (2021). A MCDM framework for site selection of island photovoltaic charging station based on new criteria identification and a hybrid fuzzy approach. Sustainable Cities and Society, 74, 103230. doi: https://doi.org/10.1016/j.scs.2021.103230
  • Yılmaz, M., & Atan, T. (2021). Hospital site selection using fuzzy EDAS method: case study application for districts of İstanbul. Journal of Intelligent & Fuzzy Systems, 41(2), 2591–2602. doi: https://doi.org/10.3233/JIFS201757
  • Boyacı, A. Ç., & Şişman, A. (2022). Pandemic hospital site selection: a GIS-based MCDM approach employing Pythagorean fuzzy sets. Environmental Science and Pollution Research, 29(2), 1985–1997. doi: https://doi.org/10.1007/s11356-021-15703-7
  • Karaşan, A., Kaya, İ., & Erdoğan, M. (2020). Location selection of electric vehicles charging stations by using a fuzzy MCDM method: a case study in Turkey. Neural Computing and Applications, 32(9), 4553–4574. doi: https://doi.org/10.1007/s00521-018-3752-2
  • Lin, M., Huang, C., & Xu, Z. (2020). MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable Cities and Society, 53, 101873. doi: https://doi.org/10.1016/j.scs.2019.101873
  • Wu, Y., Zhang, T., Xu, C., Zhang, B., Li, L., Ke, Y., Yan, Y., & Xu, R. (2019). Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach: A two-stage framework. Energy Conversion and Management, 199, 112066. doi: https://doi.org/10.1016/j.enconman.2019.112066
  • Şahin, T., Ocak, S., & Top, M. (2019). Analytic hierarchy process for hospital site selection. Health Policy and Technology, 8(1), 42–50. doi: https://doi.org/10.1016/j.hlpt.2019.02.005
  • Zečević, S., Tadić, S., & Krstić, M. (2017). Intermodal Transport Terminal Location Selection Using a Novel Hybrid MCDM Model. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(06), 853–876. doi: https://doi.org/10.1142/S0218488517500362
  • Kharat, M. G., Kamble, S. J., Raut, R. D., Kamble, S. S., & Dhume, S. M. (2016). Modeling landfill site selection using an integrated fuzzy MCDM approach. Modeling Earth Systems and Environment, 2(2), 53. doi: https://doi.org/10.1007/s40808-016-0106-x
  • Vahidnia, M. H., Alesheikh, A. A., & Alimohammadi, A. (2009). Hospital site selection using fuzzy AHP and its derivatives. Journal of Environmental Management, 90(10), 3048–3056. doi: https://doi.org/10.1016/j.jenvman.2009.04.010
  • Al-Barakati, A., Mishra, A. R., Mardani, A., & Rani, P. (2022). An extended interval-valued Pythagorean fuzzy WASPAS method based on new similarity measures to evaluate the renewable energy sources. Applied Soft Computing, 120, 108689. doi: https://doi.org/10.1016/j.asoc.2022.108689
  • Mishra, A. R., & Rani, P. (2021). Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method. Complex & Intelligent Systems, 7(5), 2469–2484. doi: https://doi.org/10.1007/s40747- 021-00407-9
  • Alrasheedi, M., Mardani, A., Mishra, A. R., Rani, P., & Loganathan, N. (2022). An extended framework to evaluate sustainable suppliers in manufacturing companies using a new Pythagorean fuzzy entropy-SWARAWASPAS decision-making approach. Journal of Enterprise Information Management, 35(2), 333–357. doi: https://doi.org/10.1108/JEIM-07-2020-0263
  • Ayyildiz, E., Erdogan, M., & Taskin Gumus, A. (2021). A Pythagorean fuzzy number-based integration of AHP and WASPAS methods for refugee camp location selection problem: a real case study for Istanbul, Turkey. Neural Computing and Applications, 33(22), 15751–15768. doi: https://doi.org/10.1007/s00521-021-06195-0
  • Ayyildiz, E., & Taskin Gumus, A. (2020). A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul. Environmental Science and Pollution Research, 27(29), 36109–36120. doi: https://doi.org/10.1007/s11356-020-09640-0
  • Kahraman, C., Onar, S. Ç., Öztayşi Başar, & İlbahar, E. (2019). Selection Among GSM Operators Using Pythagorean Fuzzy WASPAS Method. Journal of Multiple-Valued Logic & Soft Computing, 33(4/5), 459–469.
  • Ilbahar, E., Cebi, S., & Kahraman, C. (2019). A state-of-the-art review on multi-attribute renewable energy decision making. Energy Strategy Reviews, 25, 18–33. doi: https://doi.org/10.1016/j.esr.2019.04.014
  • Ilbahar, E., & Kahraman, C. (2018). Retail store performance measurement using a novel interval-valued Pythagorean fuzzy WASPAS method. Journal of Intelligent & Fuzzy Systems, 35(3), 3835–3846. doi: https://doi.org/10.3233/JIFS-18730
  • Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213–229. doi: https://doi.org/10.1016/j.jclepro.2016.07.031
  • World health statistics 2022: monitoring health for the SDGs, sustainable development goals. (2022). World Health Organization. Licence: CC BY-NC-SA 3.0 IGO.
There are 23 citations in total.

Details

Primary Language English
Subjects Industrial Engineering
Journal Section Research Articles
Authors

Muhammet Yasir Koç This is me

Publication Date October 1, 2022
Published in Issue Year 2022 Volume: 1 Issue: 1

Cite

APA Koç, M. Y. (2022). Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method. Journal of Optimization and Decision Making, 1(1), 63-77.
AMA Koç MY. Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method. JODM. October 2022;1(1):63-77.
Chicago Koç, Muhammet Yasir. “Location Selection of Specialized Medical Service Units With The Pythagorean Fuzzy WASPAS Method”. Journal of Optimization and Decision Making 1, no. 1 (October 2022): 63-77.
EndNote Koç MY (October 1, 2022) Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method. Journal of Optimization and Decision Making 1 1 63–77.
IEEE M. Y. Koç, “Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method”, JODM, vol. 1, no. 1, pp. 63–77, 2022.
ISNAD Koç, Muhammet Yasir. “Location Selection of Specialized Medical Service Units With The Pythagorean Fuzzy WASPAS Method”. Journal of Optimization and Decision Making 1/1 (October 2022), 63-77.
JAMA Koç MY. Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method. JODM. 2022;1:63–77.
MLA Koç, Muhammet Yasir. “Location Selection of Specialized Medical Service Units With The Pythagorean Fuzzy WASPAS Method”. Journal of Optimization and Decision Making, vol. 1, no. 1, 2022, pp. 63-77.
Vancouver Koç MY. Location Selection of Specialized Medical Service Units with The Pythagorean Fuzzy WASPAS Method. JODM. 2022;1(1):63-77.