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Sezgisel Bulanık PROMETHEE ve TOPSIS Yöntemlerinin Karşılaştırmalı Analizi Üzerine Araştırma

Yıl 2025, Cilt: 6 Sayı: 3, 695 - 710, 31.12.2025
https://doi.org/10.53501/rteufemud.1663782

Öz

Sezgisel bulanık tabanlı çok kriterli karar verme yöntemleri, birçok araştırmacının dikkatini çeken güncel bir araştırma alanıdır. Bu çalışmada, sezgisel bulanık tabanlı PROMETHEE ve TOPSIS yöntemlerini kullanarak geri dönüştürülmüş kağıtların Ofset, Laserjet ve Inkjet baskı performanslarını inceleyen çalışmalar yeni bir bakış açısıyla revize edilmiştir. Bu çalışmayı diğer çalışmalardan ayıran en önemli fark, tüm kriterleri eş zamanlı olarak değerlendiren bir sistemin oluşturulması ve sezgisel bulanık kümeler sayesinde belirsizliğin ortadan kaldırıl-masıdır. Bu amaçla, sezgisel bulanık tabanlı PROMETHEE ve TOPSIS yöntemlerinin karşılaştırmalı analizi yapılmıştır. Sayısal verilere göre oluşturulan PROMETHEE yöntemi ve karar vericilerin görüşlerini dilsel açıdan yansıtan TOPSIS yönteminin sonuçları tartışılmıştır. Kriterlerin hepsinin aynı anda değerlendirilmesi çalışmayı özgün yapan kısımdır. Sonuç olarak; ilgili literatüre ışık tutacak ve araştırmacılara yeni bir bakış açısı kazandıracak bulgular elde edilmiştir.

Kaynakça

  • Albadvi, A. (2004). Formulating national information technology strategies: A preference ranking model using PROMETHEE method. European Journal of Operational Research, 153, 290-296. https://doi.org/10.1016/S0377-2217(03)00151-6
  • Albadvi, A., Chaharsooghi, S.K., and Esfahanipour, A. (2007). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177, 673-683. https://doi.org/10.1016/j.ejor.2005.11.022
  • Atanassov, K.T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87-96.
  • Atanassov, K.T. (2016). Intuitionistic fuzzy sets. International Journal Bioautomation, 20(S1), 1-6.
  • Bal, A., Çuvalcıoğlu, G. (2021). The new set difference operation between interval valued intuitionistic fuzzy sets. Journal of Universal Mathematics, 4(1), 42-50. https://doi.org/10.33773/jum.862564
  • Behzadian, M., Kazemzadeh, RB., Albadvi, A., and Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200, 198-215. https://doi.org/10.1016/j.ejor.2009.01.021
  • Boran, F.E., Genç, S., Kurt, M., and Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363-11368. https://doi.org/10.1016/j.eswa.2009.03.039
  • Boran, F.E. (2011). An integrated intuitionistic fuzzy multi criteria decision making method for facility location selection. Mathematical and Computational Applications, 16(2), 487-496.
  • Boran, F.E., Boran, K., and Menlik, T. (2012). The evaluation of renewable energy technologies for electricity generation in Turkey using intuitionistic fuzzy TOPSIS. Energy Sources, Part B: Economics, Planning and Policy, 7(1), 81-90. https://doi.org/10.1080/15567240903047483
  • Brans, J.P. (1982). Lingenierie de la decision lelaboration dinstruments daidea la decision la methode PROMETHEE. In: Laidea la decision Nature, Instruments et Perspectives d Avenir (Edt. Nadeau, R., Landry, M), Les Presses de l’universite Laval, ISBN:2-7637-7084-3, Quebec, Canada. 183-213.
  • Brans, J.P., Mareschal, B., and Vincke, P. (1984). PROMETHEE: a new family of outranking methods in multicriteria analysis. Operational Research, 84, 477-490.
  • Brans, J.P. and Vincke, P. (1985). A preference ranking organisation method (The PROMETHEE method for multiple criteria decision making). Management Science, 31(6), 647-656. https://doi.org/10.1287/mnsc.31.6.647
  • Brans, J.P. and Mareschal B. (2005). PROMETHEE Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys (Edt. Figueira, J., Greco, S., Ehrgott, M), Springer, ISBN: 978-0-387-23067-2, New York.
  • Çuvalcıoğlu, G. (2014). Some properties of controlled set theory. Notes on Intuitionistic Fuzzy Sets, 20(2), 37-42.
  • Çuvalcıoğlu, G., Yılmaz, S., and Atanassov, K. T. (2014). Matrix representation of the second type of intuitionistic fuzzy modal operators. Notes on Intuitionistic Fuzzy Sets, 20(5), 9-16.
  • Cuvalcıoglu, G., Tarsuslu, S., Bal, A., and Artun, G. (2018). Intuitionistic fuzzy modal operators in intelligent system for pesticide and fertilization. Annals of Fuzzy Mathematics and Informatics, 16(1), 117-132. http://doi.org/10.30948/afmi.2018.16.1.117
  • Damgacı, E., Boran, K., and Boran, F. (2017). Evaluation of Turkey’s renewable energy using intuitionistic fuzzy TOPSIS method. Journal of Polytechnic, 20(3), 629-637.
  • Efe, B., Boran, F.E., and Kurt, M. (2015). Ergonomic product concept selection using intuitionistic fuzzy TOPSIS. Suleyman Demirel University Journal of Engineering Sciences and Design, 3(3), 433-440.
  • Hwang, C.L. and Yoon, K. (1981). Methods for multiple attribute decision making. In: Multiple Attribute Decision Making (Edt. Beckmann, M., Künzi, H.P) Springer, ISBN: 978-3-642-48318-9, New York, 58–191. https://doi.org/10.1007/978-3-642-48318-9
  • Giri, B.C., Molla, M.U., and Biswas, P. (2020). TOPSIS method for neutrosophic hesitant fuzzy multi-attribute decision making. Informatica, 31(1), 35-63. https://doi.org/10.15388/20-INFOR3
  • Kang, Y., Wu, S., Cao, D., and Weng, W. (2018). New hesitation-based distance and similarity measures on intuitionistic fuzzy sets and their applications. International Journal of Systems Science, 49(4), 783-799. https://doi.org/10.1080/00207721.2018.1424965
  • Köseoğlu, A. (2024). Generalized correlation coefficients of intuitionistic multiplicative sets and their applications to pattern recognition and clustering analysis. Journal of Experimental and Theoretical Artificial Intelligence, 1-32. https://doi.org/10.1080/0952813X.2024.2323039
  • Köseoğlu, A., Altun, F., Şahin, R. (2024). Aggregation operators of complex fuzzy Z-number sets and their applications in multi-criteria decision making. Complex Intelligent Systems, 10, 6559–6579. https://doi.org/10.1007/s40747-024-01450-y
  • Kumar, V., Saxena, P., and Garg, H. (2021). Selection of optimal software reliability growth models using an integrated entropy–Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach. Mathematical Methods in the Applied Sciences, 1-21. https://doi.org/10.1002/mma.7445
  • Liao, H., and Xu, Z.S. (2014). Multi-criteria decision making with intuitionistic fuzzy PROMETHEE. Journal of Intelligent Fuzzy Systems, 27, 1703-1717. https://doi.org/10.3233/IFS-1411
  • Majumder, M. (2015). Multi criteria decision making. In: Impact of Urbanization on Water Shortage in Face of Climatic Aberrations (Edt. Majumder, M) Springer, ISBN: 978-981-4560-73-3, Singapore, 98. https://doi.org/10.1007/978-981-4560-73-3
  • Rouyendegh, B.D. (2014). Developing an integrated AHP and intuitionistic fuzzy TOPSIS methodology. Technical Gazette, 21(6), 1313-1319.
  • Rouyendegh, B.D. (2015). Developing an integrated ANP and intuitionistic fuzzy TOPSIS model for supplier selection. Journal of Testing and Evaluation, 43(3), 664–672. https://doi.org/10.1520/JTE20130114
  • Rouyendegh, B.D., Yıldızbaşı, A., and Üstünyer, P. (2020). Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft Computing, 24(3), 2215-2228. https://doi.org/10.1007/s00500-019-04054-8
  • Sönmez, S. (2011). Interactive effects of copolymers and nano-sized pigments on coated recycled paperboards in flexographic print applications. Asian Journal Of Chemistry, 6(23), 2609-2613.
  • Szmidt, E., and Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst., 114, 505–518. https://doi.org/10.1016/S0165-0114(98)00244-9
  • Szmidt, E., and Kacprzyk, J. (2009). Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives. In: Recent advances in decision making (Edt. Rakus-Andersson, E., Yager, R.R., Ichalkaranje, N., Jain, L) Springer, ISBN: 978-3-642-02187-9, Berlin, Heidelberg, 7-19. https://doi.org/10.1007/978-3-642-02187-9
  • Tekin, D., and Toğan, V. (2023). Yapım işi sürecinde ceza ve kesinti türlerinin yüklenici başarısındaki önem derecelerinin belirlenmesi. Recep Tayyip Erdogan University Journal of Science and Engineering, 4(2), 242-253. https://doi.org/10.53501/rteufemud.1378466 Tuğrul, F., Çitil, M. (2021). A new perspective on evaluation system in education with intuitionistic fuzzy logic and PROMETHEE algorithm. Journal of Universal Mathematics, 4(1), 13-24. https://doi.org/10.33773/jum.796173
  • Tuğrul, F. (2024). Evaluation of papers according to offset print quality: the intuitionistic fuzzy based multi criteria decision making mechanism. Pigment and Resin Technology, 53(1), 122-129. https://doi.org/10.1108/PRT-04-2022-0059
  • Tuzkaya, U.R., Yılmazer, B., Tuzkaya, G., and Sennaroğlu, B. (2016). Evaluation of the parking lots by using interval valued intuitionistic fuzzy PROMETHEE approach: An example for İstanbul. Uncertainty Modelling in Knowledge Engineering and Decision Making, 943-947. https://doi.org/10.1142/9789813146976_0146
  • Vincke, P., and Brans, J.P. (1985). A preference ranking organization method. The PROMETHEE method for MCDM. Management Science, 31(6), 647-656. https://doi.org/10.1287/mnsc.31.6.647
  • Wu, Y., Zhang, J., Yuan, J., Geng, S., and Zhang, H. (2016). Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: a case of China. Energy Conversion and Management, 113, 66–81. https://doi.org/10.1016/j.enconman.2016.01.020
  • Xu, Z.S., and Yager, R.R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy set. International Journal of General Systems, 35, 417-433. https://doi.org/10.1080/03081070600574353
  • Xu, Z.S. (2007a). Intuitionistic fuzzy aggregation operators. IEEE Transactions on Fuzzy Systems, 15, 1179-1187. https://doi.org/10.1109/TFUZZ.2006.890678
  • Xu, Z.S. (2007b). Intuitionistic preference relations and their application in group decision making. Information Sciences, 177(11), 2363-2379. https://doi.org/10.1016/j.ins.2006.12.019
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2021a). A research of comparing of the effects on the color properties of offset, laser and inkjet print systems on uncoated recycled papers. Erciyes University, Journal of Institue of Science and Technology, 37(1), 130-136.
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2021b). Investigation of recycling repetition effect on deinkability efficiency and printing properties. Journal of Adhesion Science and Technology, https://doi.org/10.1080/01694243.2021.1966256.
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2021c). Investigation of color values of inkjet and laserjet prints on recycled papers. Journal of Graphic Engineering and Design, 12(3), 5-12. Yılmaz, U. (2022). Analysis of the color properties of papers subjected to different recycling numbers in electrophotographic (toner) printing. Pigment and Resin Technology. https://doi.org/10.1108/PRT-09-2021-0106.
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2022). Effects of using recycled paper in inkjet printing system on colour difference. Pigment and Resin Technology, 51(3), 336-343. https://doi.org/10.1108/PRT-03-2021-0032
  • Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8, 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X

Research on Comparative Analysis of Intuitionistic Fuzzy PROMETHEE and TOPSIS Methods

Yıl 2025, Cilt: 6 Sayı: 3, 695 - 710, 31.12.2025
https://doi.org/10.53501/rteufemud.1663782

Öz

IF based MCDM methods are a current research area that attracts the attention of many re-searchers. In this study, studies examining Offset, Laserjet and Inkjet printing performances of recycled papers using the intuitionistic fuzzy-based PROMETHEE and TOPSIS methods were revised with a new perspective. The most important difference that distinguishes this study from other studies is the creation of a system that simultaneously evaluates all the criteria and the elimination of uncertainty thanks to intuitionistic fuzzy sets. For this purpose, a comparative analysis of the IF based- PROMETHEE and TOPSIS methods was made. The results of the PROMETHEE method, which was created according to numerical data, and the TOPSIS method, which reflects the opinions in linguistic terms, were discussed. Evaluating all the criteria at the same time is what makes the study original. As a result; findings that will shed light on the relevant literature and give researchers a new perspective were obtained.

Kaynakça

  • Albadvi, A. (2004). Formulating national information technology strategies: A preference ranking model using PROMETHEE method. European Journal of Operational Research, 153, 290-296. https://doi.org/10.1016/S0377-2217(03)00151-6
  • Albadvi, A., Chaharsooghi, S.K., and Esfahanipour, A. (2007). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177, 673-683. https://doi.org/10.1016/j.ejor.2005.11.022
  • Atanassov, K.T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87-96.
  • Atanassov, K.T. (2016). Intuitionistic fuzzy sets. International Journal Bioautomation, 20(S1), 1-6.
  • Bal, A., Çuvalcıoğlu, G. (2021). The new set difference operation between interval valued intuitionistic fuzzy sets. Journal of Universal Mathematics, 4(1), 42-50. https://doi.org/10.33773/jum.862564
  • Behzadian, M., Kazemzadeh, RB., Albadvi, A., and Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200, 198-215. https://doi.org/10.1016/j.ejor.2009.01.021
  • Boran, F.E., Genç, S., Kurt, M., and Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363-11368. https://doi.org/10.1016/j.eswa.2009.03.039
  • Boran, F.E. (2011). An integrated intuitionistic fuzzy multi criteria decision making method for facility location selection. Mathematical and Computational Applications, 16(2), 487-496.
  • Boran, F.E., Boran, K., and Menlik, T. (2012). The evaluation of renewable energy technologies for electricity generation in Turkey using intuitionistic fuzzy TOPSIS. Energy Sources, Part B: Economics, Planning and Policy, 7(1), 81-90. https://doi.org/10.1080/15567240903047483
  • Brans, J.P. (1982). Lingenierie de la decision lelaboration dinstruments daidea la decision la methode PROMETHEE. In: Laidea la decision Nature, Instruments et Perspectives d Avenir (Edt. Nadeau, R., Landry, M), Les Presses de l’universite Laval, ISBN:2-7637-7084-3, Quebec, Canada. 183-213.
  • Brans, J.P., Mareschal, B., and Vincke, P. (1984). PROMETHEE: a new family of outranking methods in multicriteria analysis. Operational Research, 84, 477-490.
  • Brans, J.P. and Vincke, P. (1985). A preference ranking organisation method (The PROMETHEE method for multiple criteria decision making). Management Science, 31(6), 647-656. https://doi.org/10.1287/mnsc.31.6.647
  • Brans, J.P. and Mareschal B. (2005). PROMETHEE Methods. In: Multiple Criteria Decision Analysis: State of the Art Surveys (Edt. Figueira, J., Greco, S., Ehrgott, M), Springer, ISBN: 978-0-387-23067-2, New York.
  • Çuvalcıoğlu, G. (2014). Some properties of controlled set theory. Notes on Intuitionistic Fuzzy Sets, 20(2), 37-42.
  • Çuvalcıoğlu, G., Yılmaz, S., and Atanassov, K. T. (2014). Matrix representation of the second type of intuitionistic fuzzy modal operators. Notes on Intuitionistic Fuzzy Sets, 20(5), 9-16.
  • Cuvalcıoglu, G., Tarsuslu, S., Bal, A., and Artun, G. (2018). Intuitionistic fuzzy modal operators in intelligent system for pesticide and fertilization. Annals of Fuzzy Mathematics and Informatics, 16(1), 117-132. http://doi.org/10.30948/afmi.2018.16.1.117
  • Damgacı, E., Boran, K., and Boran, F. (2017). Evaluation of Turkey’s renewable energy using intuitionistic fuzzy TOPSIS method. Journal of Polytechnic, 20(3), 629-637.
  • Efe, B., Boran, F.E., and Kurt, M. (2015). Ergonomic product concept selection using intuitionistic fuzzy TOPSIS. Suleyman Demirel University Journal of Engineering Sciences and Design, 3(3), 433-440.
  • Hwang, C.L. and Yoon, K. (1981). Methods for multiple attribute decision making. In: Multiple Attribute Decision Making (Edt. Beckmann, M., Künzi, H.P) Springer, ISBN: 978-3-642-48318-9, New York, 58–191. https://doi.org/10.1007/978-3-642-48318-9
  • Giri, B.C., Molla, M.U., and Biswas, P. (2020). TOPSIS method for neutrosophic hesitant fuzzy multi-attribute decision making. Informatica, 31(1), 35-63. https://doi.org/10.15388/20-INFOR3
  • Kang, Y., Wu, S., Cao, D., and Weng, W. (2018). New hesitation-based distance and similarity measures on intuitionistic fuzzy sets and their applications. International Journal of Systems Science, 49(4), 783-799. https://doi.org/10.1080/00207721.2018.1424965
  • Köseoğlu, A. (2024). Generalized correlation coefficients of intuitionistic multiplicative sets and their applications to pattern recognition and clustering analysis. Journal of Experimental and Theoretical Artificial Intelligence, 1-32. https://doi.org/10.1080/0952813X.2024.2323039
  • Köseoğlu, A., Altun, F., Şahin, R. (2024). Aggregation operators of complex fuzzy Z-number sets and their applications in multi-criteria decision making. Complex Intelligent Systems, 10, 6559–6579. https://doi.org/10.1007/s40747-024-01450-y
  • Kumar, V., Saxena, P., and Garg, H. (2021). Selection of optimal software reliability growth models using an integrated entropy–Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach. Mathematical Methods in the Applied Sciences, 1-21. https://doi.org/10.1002/mma.7445
  • Liao, H., and Xu, Z.S. (2014). Multi-criteria decision making with intuitionistic fuzzy PROMETHEE. Journal of Intelligent Fuzzy Systems, 27, 1703-1717. https://doi.org/10.3233/IFS-1411
  • Majumder, M. (2015). Multi criteria decision making. In: Impact of Urbanization on Water Shortage in Face of Climatic Aberrations (Edt. Majumder, M) Springer, ISBN: 978-981-4560-73-3, Singapore, 98. https://doi.org/10.1007/978-981-4560-73-3
  • Rouyendegh, B.D. (2014). Developing an integrated AHP and intuitionistic fuzzy TOPSIS methodology. Technical Gazette, 21(6), 1313-1319.
  • Rouyendegh, B.D. (2015). Developing an integrated ANP and intuitionistic fuzzy TOPSIS model for supplier selection. Journal of Testing and Evaluation, 43(3), 664–672. https://doi.org/10.1520/JTE20130114
  • Rouyendegh, B.D., Yıldızbaşı, A., and Üstünyer, P. (2020). Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft Computing, 24(3), 2215-2228. https://doi.org/10.1007/s00500-019-04054-8
  • Sönmez, S. (2011). Interactive effects of copolymers and nano-sized pigments on coated recycled paperboards in flexographic print applications. Asian Journal Of Chemistry, 6(23), 2609-2613.
  • Szmidt, E., and Kacprzyk, J. (2000). Distances between intuitionistic fuzzy sets. Fuzzy Sets Syst., 114, 505–518. https://doi.org/10.1016/S0165-0114(98)00244-9
  • Szmidt, E., and Kacprzyk, J. (2009). Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives. In: Recent advances in decision making (Edt. Rakus-Andersson, E., Yager, R.R., Ichalkaranje, N., Jain, L) Springer, ISBN: 978-3-642-02187-9, Berlin, Heidelberg, 7-19. https://doi.org/10.1007/978-3-642-02187-9
  • Tekin, D., and Toğan, V. (2023). Yapım işi sürecinde ceza ve kesinti türlerinin yüklenici başarısındaki önem derecelerinin belirlenmesi. Recep Tayyip Erdogan University Journal of Science and Engineering, 4(2), 242-253. https://doi.org/10.53501/rteufemud.1378466 Tuğrul, F., Çitil, M. (2021). A new perspective on evaluation system in education with intuitionistic fuzzy logic and PROMETHEE algorithm. Journal of Universal Mathematics, 4(1), 13-24. https://doi.org/10.33773/jum.796173
  • Tuğrul, F. (2024). Evaluation of papers according to offset print quality: the intuitionistic fuzzy based multi criteria decision making mechanism. Pigment and Resin Technology, 53(1), 122-129. https://doi.org/10.1108/PRT-04-2022-0059
  • Tuzkaya, U.R., Yılmazer, B., Tuzkaya, G., and Sennaroğlu, B. (2016). Evaluation of the parking lots by using interval valued intuitionistic fuzzy PROMETHEE approach: An example for İstanbul. Uncertainty Modelling in Knowledge Engineering and Decision Making, 943-947. https://doi.org/10.1142/9789813146976_0146
  • Vincke, P., and Brans, J.P. (1985). A preference ranking organization method. The PROMETHEE method for MCDM. Management Science, 31(6), 647-656. https://doi.org/10.1287/mnsc.31.6.647
  • Wu, Y., Zhang, J., Yuan, J., Geng, S., and Zhang, H. (2016). Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: a case of China. Energy Conversion and Management, 113, 66–81. https://doi.org/10.1016/j.enconman.2016.01.020
  • Xu, Z.S., and Yager, R.R. (2006). Some geometric aggregation operators based on intuitionistic fuzzy set. International Journal of General Systems, 35, 417-433. https://doi.org/10.1080/03081070600574353
  • Xu, Z.S. (2007a). Intuitionistic fuzzy aggregation operators. IEEE Transactions on Fuzzy Systems, 15, 1179-1187. https://doi.org/10.1109/TFUZZ.2006.890678
  • Xu, Z.S. (2007b). Intuitionistic preference relations and their application in group decision making. Information Sciences, 177(11), 2363-2379. https://doi.org/10.1016/j.ins.2006.12.019
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2021a). A research of comparing of the effects on the color properties of offset, laser and inkjet print systems on uncoated recycled papers. Erciyes University, Journal of Institue of Science and Technology, 37(1), 130-136.
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2021b). Investigation of recycling repetition effect on deinkability efficiency and printing properties. Journal of Adhesion Science and Technology, https://doi.org/10.1080/01694243.2021.1966256.
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2021c). Investigation of color values of inkjet and laserjet prints on recycled papers. Journal of Graphic Engineering and Design, 12(3), 5-12. Yılmaz, U. (2022). Analysis of the color properties of papers subjected to different recycling numbers in electrophotographic (toner) printing. Pigment and Resin Technology. https://doi.org/10.1108/PRT-09-2021-0106.
  • Yılmaz, U., Tutuş, A., and Sönmez, S. (2022). Effects of using recycled paper in inkjet printing system on colour difference. Pigment and Resin Technology, 51(3), 336-343. https://doi.org/10.1108/PRT-03-2021-0032
  • Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8, 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
Toplam 45 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Matematiksel Mantık, Kümeler Teorisi, Kafesler ve Evrensel Cebir
Bölüm Araştırma Makalesi
Yazarlar

Feride Tuğrul 0000-0001-7690-8080

Gönderilme Tarihi 23 Mart 2025
Kabul Tarihi 1 Ekim 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: 3

Kaynak Göster

APA Tuğrul, F. (2025). Research on Comparative Analysis of Intuitionistic Fuzzy PROMETHEE and TOPSIS Methods. Recep Tayyip Erdogan University Journal of Science and Engineering, 6(3), 695-710. https://doi.org/10.53501/rteufemud.1663782

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