Journals / Journal of Transportation and Logistics / 2023 / Volume: 8 Issue: 2

Research of Sustainable Supplier Selection Problem Using Fuzzy Inference Systems

Bulanık Çıkarım Sistemleri Kullanılarak Sürdürülebilir Tedarikçi Seçim Probleminin İncelenmesi

Turgut Hacıvelioğulları(Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi İşletme Bölümü)0000-0002-1935-8403
Nurullah Umarusman(Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi İşletme Bölümü)0000-0001-6535-5329
Pages
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Publication Date
2024-01-18
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It has been determined that there are different priority rankings among the same criteria for sustainability and performance levels by using the rules in the proposed model.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The concept of sustainability, emerged against the concerns about environmental degradation and social inequality, has led the public and private sectors to follow sustainability policies and practices.
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Key Findings & Data:The sustainability level and performance level of suppliers were simultaneously calculated based on the same rules in the proposed model.
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Conclusion & Impact:It has been determined that there are different priority rankings among the same criteria for sustainability and performance levels by using the rules in the proposed model.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Fuzzy Inference System · sustainable supply chain management · supplier selection

Abstract

The concept of sustainability, emerged against the concerns about environmental degradation and social inequality, has led the public and private sectors to follow sustainability policies and practices. Therefore, businesses have started to select their suppliers by evaluating them based on the sustainability criteria such as market conditions, government policies, business objectives, and geographical location. In sustainable supply chain management, possible problems can be overcome by creating a balance between economic, environmental, and social dimensions through supplier selection. Using the Mamdani-type Fuzzy Inference Systems, a new model in the on-board equipment sector has been proposed to solve the sustainable supplier selection problem of a company. The sustainability level and performance level of suppliers were simultaneously calculated based on the same rules in the proposed model. Later, the business suppliers were ranked according to the sustainability and performance levels of the suppliers. It has been determined that there are different priority rankings among the same criteria for sustainability and performance levels by using the rules in the proposed model.

Özet

Çevresel bozulma ve sosyal eşitsizlikle ilgili kaygılara karşı ortaya çıkan sürdürülebilirlik kavramı kamu ve özel sektörü sürdürülebilirlik politikalarını ve uygulamalarını takip etmeye yönlendirmiştir. Dolayısıyla bu sektörlerdeki işletmeler tedarikçilerini sürdürülebilirlik kriterlerine göre değerlendirerek seçimi gerçekleştirmeye başlamıştır. Bu seçim sürecinde piyasa şartları, devlet politikaları, işletmenin hedefleri ve coğrafi konumu farklı kriterler kullanılabilmektedir. Sürdürülebilir kalkınmanın ekonomik, çevresel ve sosyal boyutlarının tedarik zinciri yönetimine entegrasyonuyla gelişen sürdürülebilir tedarik zinciri yönetiminde tedarikçi seçimiyle bu boyutlar arasındaki denge oluşturularak muhtemel sorunları üstesinden gelinebilir. Bu çalışmada araç üstü ekipman sektöründe faaliyet gösteren bir işletmenin sürdürülebilir tedarikçi seçim problemi Bulanık Çıkarım Sistemlerinin Mamdani-tipi Bulanık Çıkarım Sistem yaklaşımı kullanılarak yeni bir model önerilmiştir. Önerilen modelde tedarikçilerin sürdürülebilirlik düzeyi ve performans düzeyi aynı kurallara bağlı olarak eş zamanlı olarak hesaplanmıştır. Daha sonra tedarikçilerin sürdürülebilirlik ve performans düzeylerine göre işletme tedarikçiler sıralaması yapılmıştır. Ayrıca önerilen modeldeki kurallar kullanılarak sürdürülebilirlik ve performans düzeyleri için aynı kriterler arasında farklı öncelik sıralamasının olduğu belirlenmiştir.

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Cite This Article

Hacıvelioğulları, T., Umarusman, N. (2024). Research of Sustainable Supplier Selection Problem Using Fuzzy Inference Systems. Journal of Transportation and Logistics, Volume: 8 Issue: 2. https://doi.org/10.26650/JTL.2023.1370019

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References (94)

  1. Ahuti, S. (2015). Industrial growth and environmental degradation. International Education and Research Journal, 1(5), 5-7. google scholar
  2. Akbaş, S., & Daklılıç, T. E. (2018). Multi-criteria supplier selection based on fuzzy pairwise comparisons in AHP. Gazi University Journal of Science, 31(1), 296-308. google scholar
  3. Amindoust, A., & Saghafinia, A. (2014). Supplier evaluation using fuzzy inference systems. In C. Kahraman, & B. Öztayşi (Eds.), Supply chain management under uzziness (pp. 3-19). Berlin-Heidelberg: Springer Verlag. doi:10.1007/978-3-642 53939-8. google scholar
  4. Amindoust, A., & Saghafinia, A. (2017). Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. The Journal of The Textile Institute, 108(7), 1250-1258. doi:10.1080/00405000.2016.1238130. google scholar
  5. Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12(6), 1668-1677. doi:10.1016/j.asoc.2012.01.023. google scholar
  6. Bache, J. Carr, R. Parnaby, J. & Tobias, A.M. (1987). Supplier development systems. International Journal of Technology Management, 2(2), 219-228. google scholar
  7. Benton, W. C., & McHenry, L. F. (2010). Construction purchasing and supply chain management, The McGraw-Hill Companies, Incorporation, U.S.A. google scholar
  8. Beske, P., & Seuring, S. (2014). Putting sustainability into supply chain management. Supply Chain Management: An International Journal, 19(3), 322-331. doi:10.1108/scm-12-2013-0432. google scholar
  9. Bhattacharyya, S., & Dutta, P. (2012). Fuzzy logic: Concepts, system design, and applications to industrial informatics. In M.A. Khan & A.Q. Ansari (Eds.), Handbook of research on industrial informatics and manufacturing intelligence: Innovations and solutions (pp. 33-71). IGI Global. doi:10.4018/978-1-4666-0294-6.CH003. google scholar
  10. Bozlağan, R. (2005). Sürdürülebilir gelişme düşüncesinin tarihsel arka planı. Journal of Social Policy Conferences, 0(50), 1011-1028. google scholar
  11. Caroll, A.B., & Buchhollz, A.K. (2008). Business & Society: Ethics and stakeholder management. 7th ed. Mason, Ohio: Thomson/South-Western. google scholar
  12. Carter, C. R., & Easton, P.L. (2011). Sustainable supply chain management: Evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41(1), 46-62. doi:10.1108/09600031111101420 google scholar
  13. Carter, C. R., & Rogers, D. S. (2008). A framework of sustainable supply chain management: Moving toward new theory. International Journal of Physical Distribution & Logistics, 38(5), 360-387. doi:10.1108/09600030810882816. google scholar
  14. Carrera, D.A., & Mayorga, R.W. (2008). Supply chain management: A modular fuzzy inference system approach in supplier selection for new product development. Journal of Intelligent Manufacturing, 19(1), 1-12. doi:10.1007/s10845-007-0041-9. google scholar
  15. Casson, L. (1954). The Grain Trade of the Hellenistic World. Transactions and Proceedings of the American Philological Association, 85, 168. doi:10.2307/283474. google scholar
  16. Chen, Y. J. (2011). Structured methodology for supplier selection and evaluation in a supply chain. Information Sciences, 181(9),16-51-1670. doi:10.1016/j.ins.2010.07.026. google scholar
  17. Cordon, O., Herrera, F., Gomide, F., Hoffmann, F., & Magdalena, L. (2001, July). Ten years of genetic fuzzy systems: Current framework and new trends. In Proceedings joint 9th IFSA world congress and 20th NAFIPS international conference, IEEE, Vancouver, BC, Canada. doi:10.1109/NAFIPS.2001.943725. google scholar
  18. DÇKK, (1987). http://www.un-documents.net/ocf-02.htm#I, Erişim tarihi: 21.11.2019. google scholar
  19. Delfmann, W., & Albers, S. (2000). Supply chain management in the global context. Dept. of General Management Working Paper (No:102), Business Planning and Logistics of the University of Cologne. google scholar
  20. Dempsey, W. A. (1978). Vendor selection and the buying process. Industrial Marketing Management, 7(4), 257-267. doi:10.1016/0019-8501(78)90044-5. google scholar
  21. Deshmukh, A. J., & Chaudhari, A. A. (2011). A review for supplier selection criteria and methods. In K. Shah, V.L. Gorty & A. Phirke (eds.), Technology Systems and Management (pp. 283-291). Berlin, Heidelberg: Springer. doi:10.1007/978-3-642 20209-4_41. google scholar
  22. Dickson, G.W. (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1), 5-17. doi:10.1111/j.1745-493x.1966.tb00818.x. google scholar
  23. Dong, Y., & Hauschild, M. Z. (2017). Indicators for environmental sustainability. Procedia CIRP, 61, 697-702.doi:10.1016/J.PROCIR.2016.11.173. google scholar
  24. Ecemiş, O., & Yaykaşlı, M. (2018). Çok kriterli karar verme yöntemleriyle sürdürülebilir tedarikçi seçimi ve bir uygulama. Akademik Sosyal Araştırmalar Dergisi, 6(83), 382-399. doi:10.16992/ASOS.14474. google scholar
  25. Elkington, J. (1998). Accounting for the triple bottom line. Measuring Business Excellence, 2(3), 18-22. doi:10.1108/eb025539. google scholar
  26. Er Kara, M., Yurtsever, O., & Fırat, S. U. O. (2016). Sustainable supplier evaluation and selection criteria. In M. M. Erdoğdu, A. Y. Mermod, & O. B. Aşkun-Yıldırım (Eds.), Social and Economic Perspectives on Sustainability (pp. 159-168). London: IJOPEC Publication. google scholar
  27. Feng, F., Li, C., Davvaz, B., & Ali, M. I. (2010). Soft sets combined with fuzzy sets and rough sets: A tentative approach. Soft computing, 14(9), 899-911. doi:10.1007/s00500-009-0465-6. google scholar
  28. Garg, C. P., & Sharma, A. (2018). Sustainable outsourcing partner selection and evaluation using an integrated BWM-VIKOR framework. Environment, Development and Sustainability, 22(2), 1529-1557. doi:10.1007/s10668-018-0261-5. google scholar
  29. Ghadimi, P., & Heavey, C. (2014). Sustainable supplier selection in medical device ındustry: Toward sustainable manufacturing. Procedia CIRP, 15, 165-170. doi:10.1016/J.PROCIR.2014.06.096. google scholar
  30. Ghoushchi, J. S., Milan, M. D., & Rezaee, M. J. (2018). Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data. Journal of Industrial Engineering International, 14(3), 613-625. doi:10.1007/s40092-017-0246-2. google scholar
  31. Gibson, R. B. (2012). In full retreat: The Canadian government’s new environmental assessment law undoes decades of progress. Impact Assessment and Project Appraisal, 30(3), 179-188. doi:10.1080/14615517.2012.720417. google scholar
  32. Gimenez, C., Sierra, V., & Rodon, J. (2012). Sustainable operations: Their impact on the triple bottom line. International Journal of Production Economics, 140(1), 149 159. doi:10.1016/j.ijpe.2012.01.035. google scholar
  33. Gorzalczany, M. B. (2002). Computational intelligence systems and applications Studies in Fuzziness and Soft Computing. Springer, Berlin, Heidelberg. doi:10.1007/978-3-7908-1801- google scholar
  34. Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 10-141. doi:10.1016/j.ejor.2017.04.009 Op. google scholar
  35. Hassig, R. (2001). Time, history, and belief in Aztec and Colonial Mexico. University of Texas Press. doi:10.5860/choice.39-1746 google scholar
  36. Hughes, J. D. (1992). Sustainable agriculture in ancient Egypt. Agricultural History, 66(2), 12-22. google scholar
  37. Hughes, J. D., & Thirgood, J. V. (1982). Deforestation, Erosion, and Forest Management in Ancient Greece and Rome. Forest & Conservation History, 26(2), 60-75. doi:10.2307/4004530. google scholar
  38. Humphreys, P., Wong, Y., & Chan, F. T. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138(13), 349-356. google scholar
  39. Jain, N., & Singh, A. R. (2019). Sustainable supplier selection under must-be criteria through fuzzy inference system. Journal of Cleaner Production, 248, 119275. doi:10.1016/j.jclepro.2019.119275. google scholar
  40. Jang, J. S. (1993). ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics, 23(3), 665-685. doi:10.1109/21.256541. google scholar
  41. Jang, J. S. R. (1997). Neuro-Fuzzy and soft computing-a computational approach to learning and machine intelligence. In J.S.R. Jang, C.T. Sun, E. Mizutani (Eds.), Fuzzy inference systems (pp.73-90). Prentice-Hall. doi:10.1109/TAC.1997.633847 google scholar
  42. Jung, H. (2017). Evaluation of third party logistics providers considering social sustainability. Sustainability, 9(5), 1-18. doi:10.3390/su9050777. google scholar
  43. Kaur, A., & Kaur, A. (2012). Comparison of mamdani-type and sugeno-type fuzzy inference systems for air conditioning system. International Journal of Soft Computing and Engineering (USCE), 2(2), 323-325. google scholar
  44. Klarin, T. (2018). The concept of sustainable development: From its beginning to the contemporary issues. Zagreb International Review of Economics & Business, 21(1), 67-94. doi:10.2478/zireb-2018-0005. google scholar
  45. KhanMohammadi, E., Talaie, H., Safari, H., & Salehzadeh, R. (2018). Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions. International Journal of Sustainable Engineering, 11(6), 382-396, doi: 10.1080/19397038.2017.1421277. google scholar
  46. Krause, D. R., Vachon, S., & Klassen, R. D. (2009). Special topic forum on sustainable supply chain management: Introduction and reflections on the role of purchasing management. Journal Of Supply Chain Management, 45(4), 18-25. doi:10.1111/j.1745-493x.2009.03173.x. google scholar
  47. Lai, K., Wu, S. J., & Wong, C. W. Y. (2013). Did reverse logistics practices hit the triple bottom line of chinese manufacturers? International Journal of Production Economics, 146(1), 106-117. doi:10.1016/j.jpe.2013.03.005. google scholar
  48. Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65-83. doi:10.1016/S0019-8501(99)00113-3. google scholar
  49. Lentz, D. L., Dunning, N. P., Scarborough, V. L., Magee, K. S., Thompson, K. M., Weaver, E., & Hernandez, C. E. R. (2014). Forests, fields, and the edge of sustainability at the ancient Maya city of Tikal. Proceedings of the National Academy of Sciences, 111(52), 18513-18518. doi:10.1073/pnas.1408631111. google scholar
  50. Lopez, R., & Toman, M. A. (2006). Economic development and environmental sustainability: New policy options. OUP Oxford. google scholar
  51. Luthra, S., Govindan, K., Kannan, D., Mangla, S. K., & Garg, C. P. (2017). An integrated framework for sustainable supplier selection and google scholar
  52. evaluation in supply chains. Journal of Cleaner Production, 140, 1-35. doi:10.1016/j.jclepro.2016.09.078. google scholar
  53. Mamdani, E. H. (1974). Application of fuzzy algorithms for control of simple dynamic plant. Proceedings of The Institution of Electrical Engineers, 121(12), 1585-1588. doi:10.1049/piee.1974.0328. google scholar
  54. Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7(1), 1-13. doi:10.1016/s0020-7373(75)80002-2. google scholar
  55. Mehta, J. (2004). Supply Chain Management in a Global Economy. Total Quality Management & Business doi:10.1080/14783360410001680279. google scholar
  56. Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics, 22(2), 1-25. doi:10.1002/J.2158-1592.2001.TB00001.X google scholar
  57. Michelsen, G., & AdomBent, M. (2014). Nachhaltige Entwicklung: Hintergründe und Zusammenhange. In H.Heinrichs & G.Michelsen (Eds.), Nachhaltigkeitswissenschaften (pp. 3-59). Springer Spektrum, Berlin, Heidelberg. doi: 10.1007/978-3-642-25112-2_1. google scholar
  58. Myers, S. S., & Patz, J. A. (2009). Emerging threats to human health from global environmental change. Annual Review of Environment and Resources, 34, 223-252. doi:10.1146/annurev.environ.03310. google scholar
  59. Oktay, D. (2014). Towards human sustainable urbanism: Interrogating the contemporary approaches and the traditional Turkish (Ottoman) City. In R.G. Mira, & A. Dumitru, (Eds.), Urban sustainability innovative spaces, vulnerabilities and opportunities (pp.33-48). Spain: Deputacion Provincial de A Coruna. google scholar
  60. Oliver, R. K., & Webber, M. D. (1982). Supply-chain management: Logistics catches up with strategy. In M. L. Christopher (Eds.), Logistics: The Strategic Issues (pp. 63 75). London: Chapman & Hall. doi:10.1007/978-3-642-27922-5_15. google scholar
  61. Otto, A. (2003). Supply Chain Event Management: Three Perspectives. The International Journal of Logistics Management, 14(2), 1-13. doi:10.1108/09574090310806567. google scholar
  62. Özçelik, F., & Avcı Öztürk, B. A. (2014). Research on barriers to sustainable supply chain management and sustainable supplier selection criteria. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 16(2), 259-279. doi:10.16953/DEUSBED.89025. google scholar
  63. Öztayşi, B., Behret, H., Kabak, Ö., Sarı, I. U., & Kahraman, C. (2013). Fuzzy inference systems for disaster response. InB. Vitoriano, J. Montero, D. Ruan (Eds.), Decision aid models for disaster management and emergencies (pp. 75-94). Atlantis Press, Paris. doi:10.2991/978-94-91216-74-9_4 google scholar
  64. Öztürk, N. (2002). Ahilik teşkilatı ve günümüz ekonomisi, çalışma hayatı ve iş ahlakı açısından değerlendirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 7, 43-56. google scholar
  65. Prisecaru, P. (2016). Challenges of the fourth industrial revolution. Knowledge Horizons. Economics, 8(1), 57-62. google scholar
  66. Rao, C., Goh, M., & Zheng, J. (2017). Decision mechanism for supplier selection under sustainability. International Journal of Information Technology & Decision Making, 16(01), 87-115. doi:10.1142/s0219622016500450. google scholar
  67. Rao, C. P., & Kiser, G. E. (1980). Educational buyers’ perceptions of vendor attributes. Journal of Purchasing and Materials Management, 16(4), 25-30. doi:10.1111/j.1745-493x.1980.tb00023.x google scholar
  68. Ravindran, A.R., & Warsing Jr, D.P. (2013). Supply Chain Engineering Models and Applications. CRC Press, Boca Raton, FL. doi:10.1201/b13184 google scholar
  69. Reusswig, F. (1994). Lebensstile und Ökologie. In J.S. Dangschat & J. Blasius (Eds.), Lebensstile in Den Stadten (pp.91-103). Wiesbaden: Springer Fachmedien. doi:10.1007/978-3-663-10618-0_6. google scholar
  70. Rezaei, J. (2019). Sustainable supplier selection: A process view. In Sarkis J, Elgar E, (eds.), Handbook on the sustainable supply chain (pp. 136-147), Cheltenham: Edward Elgar Publishing. doi:10.4337/9781786434272.00013. google scholar
  71. Ross, T. J. (2004). Fuzzy logic with engineering applications. John Wiley & Sons. google scholar
  72. Roy, S. A., Ali, S. M., Kabir, G., Enayet, R., Suhi, S. A., Haque, T., & Hasan, R. (2019). A framework for sustainable supplier selection with transportation criteria. International Journal of Sustainable Engineering, 13(2), 77-92. doi:10.1080/19397038.2019.1625983. google scholar
  73. Sabaghi, M., Mascle, C., Baptiste, P., & Rostamzadeh, R. (2016). Sustainability assessment using fuzzy-inference technique (SAFT): A methodology toward green products. Expert Systems With Applications, 56, 69-79. doi:10.1016/j.eswa.2016.02.038. google scholar
  74. Seçkin, F. (2018). Tedarik zinciri yönetiminde ve tedarikçi seçiminde sürdürülebilirlik kavramının gelişimi. AURUM Mühendislik Sistemleri ve Mimarlık Dergisi, 2(2), 45-64. google scholar
  75. Sikdar, S. K. (2003). Sustainable development and sustainability metrics. AIChE Journal, 49(8), 1928-1932. doi:10.1002/aic.690490802. google scholar
  76. Sisco. C., Chorn, B., & Pruzan-Jorgensen, P. M. (2010). Supply chain sustainability: A practical guide for continuous ımprovement. Norway, United Nations Global Compact. google scholar
  77. Stindt, D. (2017). A generic planning approach for sustainable supply chain management - how to integrate concepts and methods to address the issues of sustainability? Journal of Cleaner Production, 153, 146-163. doi:10.1016/j.jclepro.2017.03.126. google scholar
  78. Sugeno, M. (1985). An introductory survey of fuzzy control. Information Sciences, 36(1-2), 59-83. doi:10.1016/0020-0255(85)90026-x. google scholar
  79. Sugeno, M., & Kang, G. (1988). Structure identification of fuzzy model. Fuzzy Sets and Systems, 28(1), 15-33. doi:10.1016/0165-0114(88)90113-3. google scholar
  80. Şen, Z. (2020). Bulanık mantık ilkeleri ve modelleme. Su Vakfı, 3. baskı, İstanbul. google scholar
  81. Tahriri, F., Mousavi, M., Hozhabri Haghighi, S., & Zawiah Md Dawal, S. (2014). The application of fuzzy delphi and fuzzy inference system in supplier ranking and selection. Journal of Industrial Engineering International, 10(3), 1-16. doi:10.1007/s40092-014-0066-6. google scholar
  82. Tate, W.L., Ellram, L.M., & Dooley, K.J. (2012). Environmental purchasing and supplier management (EPSM): Theory and practice. Journal of Purchasing and Supply Management, 18, 173-188. doi:10.1016/j.pursup.2012.07.001. google scholar
  83. Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, SMC-15(1), 116-132. doi:10.1016/b978-1-4832-1450-4.50045-6. google scholar
  84. Umarusman, N., & Hacıvelioğulları, T. (2020). Fuzzy inference systems in sustainable supplier selection. In: supply chain sustainability (pp. 1-38), Walter de Gruyter GmbH & Co KG. doi:10.1515/9783110628593-001 google scholar
  85. Weber, C. A., Current, J. R., & Benton, W. C. (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1), 2-18. doi:10.1016/0377-2217(91)90033- google scholar
  86. Wu, J., Zhang, Q., Li, A., & Liang, C. (2015). Historical landscape dynamics of inner Mongolia: Patterns, drivers, and impacts. Landscape Ecology, 30(9), 1579-1598. doi:10.1007/s10980-015-0209-1. google scholar
  87. Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. Doi:10.1016/S0019-9958(65)90241-X. google scholar
  88. Zadeh, L. A. (1988). Fuzzy logic. Computer, 21(4), 83-93. doi:10.1109/2.53. google scholar
  89. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information sciences, 8(3), 199-249.doi:10.1016/0020-0255(75)90017-1 google scholar
  90. Zadeh, L. A. (2008). Is there a need for fuzzy logic? Information Sciences, 178(13), 2751-2779. doi:10.1109/nafips.2008.4531354. google scholar
  91. Amindoust, A., & Saghafinia, A. (2014). Supplier evaluation using fuzzy inference systems. In C. Kahraman, & B. Öztayşi (Eds.), Supply chain management under uzziness (pp. 3-19). Berlin-Heidelberg: Springer Verlag. doi:10.1007/978-3-642 53939-8. google scholar
  92. Bozlağan, R. (2005). Sürdürülebilir gelişme düşüncesinin tarihsel arka planı. Journal of Social Policy Conferences, 0(50), 1011-1028. google scholar
  93. Humphreys, P., Wong, Y., & Chan, F. T. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials Processing Technology, 138(13), 349-356. google scholar
  94. Sugeno, M., & Kang, G. (1988). Structure identification of fuzzy model. Fuzzy Sets and Systems, 28(1), 15-33. doi:10.1016/0165-0114(88)90113-3. google scholar