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Aralık Tip-2 Bulanık AHP Yöntemi ile Akıllı ve Sürdürülebilir Tedarikçi Seçimi

Year 2023, Volume: 26 Issue: 4, 1359 - 1373, 01.12.2023

Belkız Torğul Turan Paksoy

Abstract

Devlet düzenlemeleri, müşterilerin çevre bilinci, yaşam kalitesini iyileştirme çabaları ve bilgi ve iletişim sistemindeki gelişmeler, kuruluşları tedarikçilerini değerlendirirken akıllı ve sürdürülebilir faktörleri göz önünde bulundurmak zorunda bırakmıştır. Ekonomik olduğu kadar teknolojik, çevresel ve sosyal açılardan da uygun tedarikçilerle çalışmak, akıllı ve sürdürülebilir tedarik zincirlerinin temelini oluşturacaktır. Sürecin uyum içinde devam etmesi için etkin bir tedarikçi seçimi çalışması da gereklidir. Tedarikçi seçimi konusu, birçok nitel ve/veya nicel faktörün dikkate alınmasını gerektiren çok kriterli karar verme problemlerinden biridir. Bu çalışmada, tedarikçilerin genel performansını değerlendirmek için, çelişkili kriterlere sahip bulanık karar verme problemleri için belirsizliği yansıtmada daha esnek ve başarılı olan aralıklı tip-2 bulanık kümeli AHP yöntemi önerilmiştir. Önerilen yöntemin uygulanabilirliğini göstermek için bir otomotiv üreticisi için malzeme tedarikçilerinin değerlendirilmesi üzerine ampirik bir çalışma yapılmış ve farklı koşullar altında farklı kriterlerin etkisini görmek için karşılaştırmalı bir senaryo analizi yapılmıştır.

Keywords

Aralık tip-2 bulanık kümeler aralık tip-2 bulanık AHP akıllı sürdürülebilir tedarikçi seçimi

References

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  • [2] KUMAŞ, E. and Serpil, E., "Endüstri 4.0’da anahtar teknoloji olarak dijital ikizler", Politeknik Dergisi, 24(2): 691-701, (2021).
  • [3] Yu, C., Shao, Y., Wang, K. and Zhang, L., "A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment", Expert Systems with Applications, 121: 1-17, (2019).
  • [4] Chen, Z., Ming, X., Zhou, T. and Chang, Y., "Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach", Applied Soft Computing, 87: 106004, (2020).
  • [5] Li, J., Fang, H. and Song, W., "Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach", Journal of cleaner production, 222: 606-621, (2019).
  • [6] Wu, L., Yue, X., Jin, A. and Yen, D. C., "Smart supply chain management: a review and implications for future research", The International Journal of Logistics Management, (2016).
  • [7] Celik, E., Gul, M., Aydin, N., Gumus, A. T. and Guneri, A. F., "A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets", Knowledge-Based Systems, 85: 329-341, (2015).
  • [8] Kahraman, C., Öztayşi, B., Uçal Sarı, İ. and Turanoğlu, E., "Fuzzy analytic hierarchy process with interval type-2 fuzzy sets", Knowledge-Based Systems, 59: 48-57, (2014).
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  • [13] Balin, A. and Baraçli, H., "A fuzzy multi-criteria decision making methodology based upon the interval type-2 fuzzy sets for evaluating renewable energy alternatives in Turkey", Technological and Economic Development of Economy, 23(5): 742-763, (2017).
  • [14] Soner, O., Celik, E. and Akyuz, E., "Application of AHP and VIKOR methods under interval type 2 fuzzy environment in maritime transportation", Ocean Engineering, 129: 107-116, (2017).
  • [15] Ayodele, T. R., Ogunjuyigbe, A., Odigie, O. and Munda, J. L., "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria", Applied Energy, 228: 1853-1869, (2018).
  • [16] Celik, E. and Akyuz, E., "An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: the case of ship loader", Ocean Engineering, 155: 371-381, (2018).
  • [17] Yilmaz, M. K., Kusakci, A. O., Tatoglu, E., Icten, O. and Yetgin, F., "Performance Evaluation of Real Estate Investment Trusts using a Hybridized Interval Type-2 Fuzzy AHP-DEA Approach: The Case of Borsa Istanbul", International Journal of Information Technology & Decision Making, 18(06): 1785-1820, (2019).
  • [18] Kiracı, K. and Akan, E., "Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets", Journal of Air Transport Management, 89: 101924, (2020).
  • [19] Meniz, B., Bas, S. A., Ozkok, B. A. and Tiryaki, F., "Multilevel AHP approach with interval type-2 fuzzy sets to portfolio selection problem", Journal of Intelligent & Fuzzy Systems, (Preprint): 1-11, (2021).
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  • [22] Chiouy, C.-Y., Chou, S.-H. and Yeh, C.-Y., "Using fuzzy AHP in selecting and prioritizing sustainable supplier on CSR for Taiwan's electronics industry", Journal of Information and Optimization Sciences, 32(5): 1135-1153, (2011).
  • [23] Azadnia, A. H., Saman, M. Z. M., Wong, K. Y., Ghadimi, P. and Zakuan, N., "Sustainable Supplier Selection based on Self-organizing Map Neural Network and Multi Criteria Decision Making Approaches", Procedia - Social and Behavioral Sciences, 65: 879-884, (2012).
  • [24] Gold, S. and Awasthi, A., "Sustainable global supplier selection extended towards sustainability risks from (1+ n) th tier suppliers using fuzzy AHP based approach", Ifac-Papersonline, 48(3): 966-971, (2015).
  • [25] Fallahpour, A., Udoncy Olugu, E., Nurmaya Musa, S., Yew Wong, K. and Noori, S., "A decision support model for sustainable supplier selection in sustainable supply chain management", Computers & Industrial Engineering, 105: 391-410, (2017).
  • [26] Zhou, X. and Xu, Z., "An integrated sustainable supplier selection approach based on hybrid information aggregation", Sustainability, 10(7): 2543, (2018).
  • [27] Kannan, D., Mina, H., Nosrati-Abarghooee, S. and Khosrojerdi, G., "Sustainable circular supplier selection: A novel hybrid approach", Science of The Total Environment, 722: 137936, (2020).
  • [28] Ghadimi, P., Wang, C., Lim, M. K. and Heavey, C., "Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains", Computers & Industrial Engineering, 127: 588-600, (2019).
  • [29] Hasan, M. M., Jiang, D., Ullah, A. M. M. S. and Noor-E-Alam, M., "Resilient supplier selection in logistics 4.0 with heterogeneous information", Expert Systems with Applications, 139: 112799, (2020).
  • [30] Büyüközkan, G. and Çifçi, G., "A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information", Computers in Industry, 62(2): 164-174, (2011).
  • [31] Dai, J. and Blackhurst, J., "A four-phase AHP-QFD approach for supplier assessment: A sustainability perspective", International Journal of Production Research - INT J PROD RES, 50: 1-17, (2011).
  • [32] Wen, L., Xu, L. and Wang, R., "Sustainable Supplier Evaluation Based on Intuitionistic Fuzzy Sets Group Decision Methods", Journal of Information and Computational Science, 10: 3209-3220, (2013).
  • [33] Govindan, K., Khodaverdi, R. and Jafarian, A., "A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach", Journal of cleaner production, 47: 345-354, (2013).
  • [34] Ghadimi, P. and Heavey, C., "Sustainable Supplier Selection in Medical Device Industry: Toward Sustainable Manufacturing", Procedia CIRP, 15: 165-170, (2014).
  • [35] Orji, I. and Wei, S., "A Decision Support Tool for Sustainable Supplier Selection in Manufacturing firms", Journal of Industrial Engineering and Management, 7: 1293-1315, (2014).
  • [36] Azadi, M., Jafarian, M., Farzipoor Saen, R. and Mirhedayatian, S. M., "A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context", Computers & Operations Research, 54: 274-285, (2015).
  • [37] Zhou, X., Pedrycz, W., Kuang, Y. and Zhang, Z., "Type-2 fuzzy multi-objective DEA model: An application to sustainable supplier evaluation", Applied Soft Computing, 46: 424-440, (2016).
  • [38] Luthra, S., Govindan, K., Kannan, D., Mangla, S. K. and Garg, C. P., "An integrated framework for sustainable supplier selection and evaluation in supply chains", Journal of cleaner production, 140: 1686-1698, (2017).
  • [39] Kannan, D., "Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process", International Journal of Production Economics, 195: 391-418, (2018).
  • [40] Kafa, N., Hani, Y. and El Mhamedi, A., "Evaluating and selecting partners in sustainable supply chain network: a comparative analysis of combined fuzzy multi-criteria approaches", Opsearch, 55(1): 14-49, (2018).
  • [41] Sen, D. K., Datta, S. and Mahapatra, S. S., "Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective", Benchmarking: An International Journal, 25(2): 545-574, (2018).
  • [42] Awasthi, A., Govindan, K. and Gold, S., "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach", International Journal of Production Economics, 195: 106-117, (2018).
  • [43] Xu, Z., Qin, J., Liu, J. and Martínez, L., "Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment", Information Sciences, 483: 273-293, (2019).
  • [44] Liu, Y., Eckert, C., Yannou-Le Bris, G. and Petit, G., "A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain", Computers & Industrial Engineering, 127: 196-212, (2019).
  • [45] Wang, C.-N., Yang, C.-Y. and Cheng, H.-C., "A Fuzzy Multicriteria Decision-Making (MCDM) Model for Sustainable Supplier Evaluation and Selection Based on Triple Bottom Line Approaches in the Garment Industry", Processes, 7(7): 400, (2019).
  • [46] Ecer, F. and Pamucar, D., "Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model", Journal of cleaner production, 266: 121981, (2020).
  • [47] Stević, Ž., Pamučar, D., Puška, A. and Chatterjee, P., "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)", Computers & Industrial Engineering, 140: 106231, (2020).
  • [48] Zadeh, L. A., "Fuzzy sets", Information and Control, 8(3): 338-353, (1965).
  • [49] Junior, F. R. L., Osiro, L. and Carpinetti, L. C. R., "A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection", Applied Soft Computing, 21: 194-209, (2014).
  • [50] Öztayşi, B., "A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection", Journal of multiple-valued logic and soft computing, 24: 475-500, (2015).
  • [51] Kumar, D., Rahman, Z. and Chan, F. T. S., "A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: A case study", International Journal of Computer Integrated Manufacturing, 30(6): 535-551, (2017).
  • [52] Zadeh, L. A., "The concept of a linguistic variable and its application to approximate reasoning—I", Information Sciences, 8(3): 199-249, (1975).
  • [53] Mendel, J. M., John, R. I. and Liu, F., "Interval Type-2 Fuzzy Logic Systems Made Simple", IEEE Transactions on Fuzzy Systems, 14(6): 808-821, (2006).
  • [54] Li-Wei, L. and Shyi-Ming, C. Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets. in 2008 International Conference on Machine Learning and Cybernetics. 2008.
  • [55] Chen, S.-M. and Lee, L.-W., "Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method", Expert Systems with Applications, 37(4): 2790-2798, (2010).
  • [56] Buckley, J. J., "Ranking alternatives using fuzzy numbers", Fuzzy Sets and Systems, 15(1): 21-31, (1985).

Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP

Year 2023, Volume: 26 Issue: 4, 1359 - 1373, 01.12.2023

Belkız Torğul Turan Paksoy

Abstract

Government regulations, customers’ environmental awareness, quality of life-improving efforts and developments in the information and communication system have almost obliged organizations to consider smart and sustainable factors while evaluating their suppliers. Working with suitable suppliers in terms of technological, environmental and social aspects as well as economic aspects, will be the basis for smart and sustainable supply chains. An effective supplier selection running is also needed to continue the process in harmony. The issue of supplier selection is one of the multi-criteria decision-making problems that requires consideration of many qualitative and/or quantitative factors. In this study, Analytic hierarchy process (AHP) method with interval type-2 fuzzy sets, which are more flexible and successful in reflecting uncertainty for fuzzy decision-making problems with contradictory criteria, was proposed to evaluate the overall performance of suppliers. In order to demonstrate the applicability of the proposed method, an empirical study was conducted on the evaluation of material suppliers for an automotive manufacturer and a comparative scenario analysis was performed to investigate the effect of different criteria under different conditions.  

Keywords

Interval type-2 fuzzy sets interval type-2 fuzzy AHP smart sustainable supplier selection

References

  • [1] Ahi, P. and Searcy, C., "A comparative literature analysis of definitions for green and sustainable supply chain management", Journal of cleaner production, 52: 329-341, (2013).
  • [2] KUMAŞ, E. and Serpil, E., "Endüstri 4.0’da anahtar teknoloji olarak dijital ikizler", Politeknik Dergisi, 24(2): 691-701, (2021).
  • [3] Yu, C., Shao, Y., Wang, K. and Zhang, L., "A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment", Expert Systems with Applications, 121: 1-17, (2019).
  • [4] Chen, Z., Ming, X., Zhou, T. and Chang, Y., "Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach", Applied Soft Computing, 87: 106004, (2020).
  • [5] Li, J., Fang, H. and Song, W., "Sustainable supplier selection based on SSCM practices: A rough cloud TOPSIS approach", Journal of cleaner production, 222: 606-621, (2019).
  • [6] Wu, L., Yue, X., Jin, A. and Yen, D. C., "Smart supply chain management: a review and implications for future research", The International Journal of Logistics Management, (2016).
  • [7] Celik, E., Gul, M., Aydin, N., Gumus, A. T. and Guneri, A. F., "A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets", Knowledge-Based Systems, 85: 329-341, (2015).
  • [8] Kahraman, C., Öztayşi, B., Uçal Sarı, İ. and Turanoğlu, E., "Fuzzy analytic hierarchy process with interval type-2 fuzzy sets", Knowledge-Based Systems, 59: 48-57, (2014).
  • [9] Cevik Onar, S., Oztaysi, B. and Kahraman, C., "Strategic decision selection using hesitant fuzzy TOPSIS and interval type-2 fuzzy AHP: a case study", International Journal of Computational Intelligence Systems, 7(5): 1002-1021, (2014).
  • [10] Oztaysi, B., "A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection", Journal of Multiple-Valued Logic & Soft Computing, 24(5), (2015).
  • [11] Kilic, M. and Kaya, I., "Investment project evaluation by a decision making methodology based on type-2 fuzzy sets", Applied Soft Computing, 27: 399-410, (2015).
  • [12] Gul, M., Celik, E., Gumus, A. T. and Guneri, A. F., "Emergency department performance evaluation by an integrated simulation and interval type-2 fuzzy MCDM-based scenario analysis", European Journal of Industrial Engineering, 10(2): 196-223, (2016).
  • [13] Balin, A. and Baraçli, H., "A fuzzy multi-criteria decision making methodology based upon the interval type-2 fuzzy sets for evaluating renewable energy alternatives in Turkey", Technological and Economic Development of Economy, 23(5): 742-763, (2017).
  • [14] Soner, O., Celik, E. and Akyuz, E., "Application of AHP and VIKOR methods under interval type 2 fuzzy environment in maritime transportation", Ocean Engineering, 129: 107-116, (2017).
  • [15] Ayodele, T. R., Ogunjuyigbe, A., Odigie, O. and Munda, J. L., "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria", Applied Energy, 228: 1853-1869, (2018).
  • [16] Celik, E. and Akyuz, E., "An interval type-2 fuzzy AHP and TOPSIS methods for decision-making problems in maritime transportation engineering: the case of ship loader", Ocean Engineering, 155: 371-381, (2018).
  • [17] Yilmaz, M. K., Kusakci, A. O., Tatoglu, E., Icten, O. and Yetgin, F., "Performance Evaluation of Real Estate Investment Trusts using a Hybridized Interval Type-2 Fuzzy AHP-DEA Approach: The Case of Borsa Istanbul", International Journal of Information Technology & Decision Making, 18(06): 1785-1820, (2019).
  • [18] Kiracı, K. and Akan, E., "Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets", Journal of Air Transport Management, 89: 101924, (2020).
  • [19] Meniz, B., Bas, S. A., Ozkok, B. A. and Tiryaki, F., "Multilevel AHP approach with interval type-2 fuzzy sets to portfolio selection problem", Journal of Intelligent & Fuzzy Systems, (Preprint): 1-11, (2021).
  • [20] Atıcı, U., Adem, A., Şenol, M. B. and Dağdeviren, M., "A comprehensive decision framework with interval valued type-2 fuzzy AHP for evaluating all critical success factors of e-learning platforms", Education and Information Technologies: 1-26, (2022).
  • [21] Carter Craig, R. and Liane Easton, P., "Sustainable supply chain management: evolution and future directions", International Journal of Physical Distribution & Logistics Management, 41(1): 46-62, (2011).
  • [22] Chiouy, C.-Y., Chou, S.-H. and Yeh, C.-Y., "Using fuzzy AHP in selecting and prioritizing sustainable supplier on CSR for Taiwan's electronics industry", Journal of Information and Optimization Sciences, 32(5): 1135-1153, (2011).
  • [23] Azadnia, A. H., Saman, M. Z. M., Wong, K. Y., Ghadimi, P. and Zakuan, N., "Sustainable Supplier Selection based on Self-organizing Map Neural Network and Multi Criteria Decision Making Approaches", Procedia - Social and Behavioral Sciences, 65: 879-884, (2012).
  • [24] Gold, S. and Awasthi, A., "Sustainable global supplier selection extended towards sustainability risks from (1+ n) th tier suppliers using fuzzy AHP based approach", Ifac-Papersonline, 48(3): 966-971, (2015).
  • [25] Fallahpour, A., Udoncy Olugu, E., Nurmaya Musa, S., Yew Wong, K. and Noori, S., "A decision support model for sustainable supplier selection in sustainable supply chain management", Computers & Industrial Engineering, 105: 391-410, (2017).
  • [26] Zhou, X. and Xu, Z., "An integrated sustainable supplier selection approach based on hybrid information aggregation", Sustainability, 10(7): 2543, (2018).
  • [27] Kannan, D., Mina, H., Nosrati-Abarghooee, S. and Khosrojerdi, G., "Sustainable circular supplier selection: A novel hybrid approach", Science of The Total Environment, 722: 137936, (2020).
  • [28] Ghadimi, P., Wang, C., Lim, M. K. and Heavey, C., "Intelligent sustainable supplier selection using multi-agent technology: Theory and application for Industry 4.0 supply chains", Computers & Industrial Engineering, 127: 588-600, (2019).
  • [29] Hasan, M. M., Jiang, D., Ullah, A. M. M. S. and Noor-E-Alam, M., "Resilient supplier selection in logistics 4.0 with heterogeneous information", Expert Systems with Applications, 139: 112799, (2020).
  • [30] Büyüközkan, G. and Çifçi, G., "A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information", Computers in Industry, 62(2): 164-174, (2011).
  • [31] Dai, J. and Blackhurst, J., "A four-phase AHP-QFD approach for supplier assessment: A sustainability perspective", International Journal of Production Research - INT J PROD RES, 50: 1-17, (2011).
  • [32] Wen, L., Xu, L. and Wang, R., "Sustainable Supplier Evaluation Based on Intuitionistic Fuzzy Sets Group Decision Methods", Journal of Information and Computational Science, 10: 3209-3220, (2013).
  • [33] Govindan, K., Khodaverdi, R. and Jafarian, A., "A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach", Journal of cleaner production, 47: 345-354, (2013).
  • [34] Ghadimi, P. and Heavey, C., "Sustainable Supplier Selection in Medical Device Industry: Toward Sustainable Manufacturing", Procedia CIRP, 15: 165-170, (2014).
  • [35] Orji, I. and Wei, S., "A Decision Support Tool for Sustainable Supplier Selection in Manufacturing firms", Journal of Industrial Engineering and Management, 7: 1293-1315, (2014).
  • [36] Azadi, M., Jafarian, M., Farzipoor Saen, R. and Mirhedayatian, S. M., "A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context", Computers & Operations Research, 54: 274-285, (2015).
  • [37] Zhou, X., Pedrycz, W., Kuang, Y. and Zhang, Z., "Type-2 fuzzy multi-objective DEA model: An application to sustainable supplier evaluation", Applied Soft Computing, 46: 424-440, (2016).
  • [38] Luthra, S., Govindan, K., Kannan, D., Mangla, S. K. and Garg, C. P., "An integrated framework for sustainable supplier selection and evaluation in supply chains", Journal of cleaner production, 140: 1686-1698, (2017).
  • [39] Kannan, D., "Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process", International Journal of Production Economics, 195: 391-418, (2018).
  • [40] Kafa, N., Hani, Y. and El Mhamedi, A., "Evaluating and selecting partners in sustainable supply chain network: a comparative analysis of combined fuzzy multi-criteria approaches", Opsearch, 55(1): 14-49, (2018).
  • [41] Sen, D. K., Datta, S. and Mahapatra, S. S., "Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective", Benchmarking: An International Journal, 25(2): 545-574, (2018).
  • [42] Awasthi, A., Govindan, K. and Gold, S., "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach", International Journal of Production Economics, 195: 106-117, (2018).
  • [43] Xu, Z., Qin, J., Liu, J. and Martínez, L., "Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment", Information Sciences, 483: 273-293, (2019).
  • [44] Liu, Y., Eckert, C., Yannou-Le Bris, G. and Petit, G., "A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain", Computers & Industrial Engineering, 127: 196-212, (2019).
  • [45] Wang, C.-N., Yang, C.-Y. and Cheng, H.-C., "A Fuzzy Multicriteria Decision-Making (MCDM) Model for Sustainable Supplier Evaluation and Selection Based on Triple Bottom Line Approaches in the Garment Industry", Processes, 7(7): 400, (2019).
  • [46] Ecer, F. and Pamucar, D., "Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model", Journal of cleaner production, 266: 121981, (2020).
  • [47] Stević, Ž., Pamučar, D., Puška, A. and Chatterjee, P., "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)", Computers & Industrial Engineering, 140: 106231, (2020).
  • [48] Zadeh, L. A., "Fuzzy sets", Information and Control, 8(3): 338-353, (1965).
  • [49] Junior, F. R. L., Osiro, L. and Carpinetti, L. C. R., "A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection", Applied Soft Computing, 21: 194-209, (2014).
  • [50] Öztayşi, B., "A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection", Journal of multiple-valued logic and soft computing, 24: 475-500, (2015).
  • [51] Kumar, D., Rahman, Z. and Chan, F. T. S., "A fuzzy AHP and fuzzy multi-objective linear programming model for order allocation in a sustainable supply chain: A case study", International Journal of Computer Integrated Manufacturing, 30(6): 535-551, (2017).
  • [52] Zadeh, L. A., "The concept of a linguistic variable and its application to approximate reasoning—I", Information Sciences, 8(3): 199-249, (1975).
  • [53] Mendel, J. M., John, R. I. and Liu, F., "Interval Type-2 Fuzzy Logic Systems Made Simple", IEEE Transactions on Fuzzy Systems, 14(6): 808-821, (2006).
  • [54] Li-Wei, L. and Shyi-Ming, C. Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets. in 2008 International Conference on Machine Learning and Cybernetics. 2008.
  • [55] Chen, S.-M. and Lee, L.-W., "Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method", Expert Systems with Applications, 37(4): 2790-2798, (2010).
  • [56] Buckley, J. J., "Ranking alternatives using fuzzy numbers", Fuzzy Sets and Systems, 15(1): 21-31, (1985).
There are 56 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Belkız Torğul 0000-0002-7341-9334

Turan Paksoy 0000-0001-8051-8560

Publication Date December 1, 2023
Submission Date November 1, 2021
Published in Issue Year 2023 Volume: 26 Issue: 4

Cite

APA Torğul, B., & Paksoy, T. (2023). Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP. Politeknik Dergisi, 26(4), 1359-1373. https://doi.org/10.2339/politeknik.1017259
AMA Torğul B, Paksoy T. Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP. Politeknik Dergisi. December 2023;26(4):1359-1373. doi:10.2339/politeknik.1017259
Chicago Torğul, Belkız, and Turan Paksoy. “Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP”. Politeknik Dergisi 26, no. 4 (December 2023): 1359-73. https://doi.org/10.2339/politeknik.1017259.
EndNote Torğul B, Paksoy T (December 1, 2023) Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP. Politeknik Dergisi 26 4 1359–1373.
IEEE B. Torğul and T. Paksoy, “Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP”, Politeknik Dergisi, vol. 26, no. 4, pp. 1359–1373, 2023, doi: 10.2339/politeknik.1017259.
ISNAD Torğul, Belkız - Paksoy, Turan. “Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP”. Politeknik Dergisi 26/4 (December 2023), 1359-1373. https://doi.org/10.2339/politeknik.1017259.
JAMA Torğul B, Paksoy T. Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP. Politeknik Dergisi. 2023;26:1359–1373.
MLA Torğul, Belkız and Turan Paksoy. “Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP”. Politeknik Dergisi, vol. 26, no. 4, 2023, pp. 1359-73, doi:10.2339/politeknik.1017259.
Vancouver Torğul B, Paksoy T. Smart and Sustainable Supplier Selection Using Interval Type-2 Fuzzy AHP. Politeknik Dergisi. 2023;26(4):1359-73.

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