Araştırma Makalesi
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Yıl 2024, Cilt: 7 Sayı: 1, 56 - 63, 31.01.2024

Erhan Çetinkaya Ali Sınar Ahu Meryem Çuvalcıoğlu

Öz

Kaynakça

  • L.A. Zadeh, Fuzzy Sets , Information and Control, Vol.8, pp.338-353, (1965).
  • K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, Vol.20, No.1, pp.87-96, (1986).
  • K.T. Atanassov, K.T. Intuitionistic Fuzzy Sets, VII ITKR.s Session, Sofia., June, (1983).
  • J.P. Brans, L'ingenierie de la decision: lelaboration dinstruments daide a la decision. Colloq. daide a la decision, Universite Laval, Quebec, Canada, Aou, (1982).
  • J.P. Brans, B. Mareschal, Chapter 5: PROMETHEE Methods. In:Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research- Management Science, Vol.78, Springer, New York, NY., (2005).
  • J.P. Brans, P. Vincke, A Preference Ranking Organisation Method (The PROMETHEE Method for Multiple Criteria Decision Making). Management Science, Vol.31, No.6, pp.647-656, (1985).
  • A. Albadvi, Formulating national information technology strategies: A preference ranking model using PROMETHEE method. European Journal of Operational Research, Vol.153, pp.290-296, (2004).
  • A. Albadvi, S.K. Chaharsooghi, A. Esfahanipour, Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, Vol.177, pp.673-683, (2007).
  • M. Behzadian, RB. Kazemzadeh, A. Albadvi, M. Aghdasi, PROMETHEE:A comprehensive literature reviewon methodologies and applications. European Journal of Operational Research, Vol.200 pp.198-215, (2010).
  • J.P. Brans, B. Mareschal, P. Vincke, PROMETHEE: a new family of outranking methods in multicriteria analysis. Operational Research, IFORS Vol.84, pp.477-490, (1984).
  • G. Çuvalcıoğlu, Controlled Set Theory, Bogolyubov Readings DIF-2013, Ukraine, pp.342, (2013).
  • G. Çuvalcıoğlu, The extension of modal operators diagram with last operators, Notes on Intuitionistic Fuzzy Sets, Vol.19, No.3, pp.56-61 (2013).
  • G. Çuvalcıoğlu, Some Properties of Controlled Set Theory, Notes on Intuitionistic Fuzzy Set, Vol.20, No.2, pp.37-42, (2014). G. Çuvalcıoğlu, E. Aykut, An Application Of Some Intuitionistic Fuzzy Modal Operators To Agriculture, Notes on IFS, Vol.21, No.2, pp.140-149, (2015).
  • G. Çuvalcıoğlu, V. Bureva, A. Michalikova, Intercriteria Analysis Applied To University Ranking System Of Turkey, Notes on Intuitionistic Fuzzy Sets, Vol.25, No.4, pp.90-97, (2019).
  • N. Halouani, H. Chabchoub, JM. Martel, PROMETHEEMD- 2T method for project selection, European Journal of Operational Research, Vol.195, pp.841-849, (2009).
  • R. Krishankumar, KS. Ravichandran, A.B., Saeid, A New Extension to PROMETHEE Under Intuitionistic Fuzzy Environment For Solving Supplier Selection Problem With Linguistic Preferences, Vol.60, pp.564-576, (2017).
  • H.C. Liao, Z.S. Xu, Priorities of Intuitionistic Fuzzy Preference Relation Based on Multiplicative Consistency, IEEE Transactions on Fuzzy Systems, Vol.22, No.6, pp.1669-1681, (2014).
  • H.C. Liao, Z.S. Xu, Some Algorithms For Group Decision Making With Intuitionistic Fuzzy Preference Information, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Vol.22, No.4, pp.505-529, (2014).
  • H.C. Liao, Z.S. Xu, Multi-Criteria Decision Making with Intuitionistic Fuzzy PROMETHEE, Journal of Intelligent Fuzzy Systems, Vol.27, pp.1703-1717, (2014).
  • M. Majumder, Multi Criteria Decision Making, Chapter 2, Springer, pp.35-47, (2015).
  • E. Szmidt, J. Kacprzyk, Amount Of Information And Its Reliability In The Ranking Of Atanassov’S Intuitionistic Fuzzy Alternatives, in: E. Rakus-Andersson, R.R. Yager, N. Ichalkaranje, L. Jain, ed. Recent advances in decision making (Studies in Computational Intelligence), Berlin, Germany: Springer, pp.7-19, (2009).
  • F. Tuğrul, M. Çitil, S. Balcı, On The Determination Students Aptitude Using Intuitionistic Fuzzy Logic, Journal of Universal Mathematics, Vol.2, No.1, pp.36-41, (2019).
  • F. Tuğrul, M. Çitil, B. Karasolak, M. Dağlı, Interpretation of Physical Conditions of Schools with Fuzzy Multi Criteria Decision Making, Journal of Universal Mathematics, Vol.3, No.1, pp.46-52, (2020).
  • F. Tuğrul, Application of Intuitionistic Fuzzy Logic with a New Method in Multi Criteria Decision Making Process. Ph.D. Thesis. Kahramanmaraş Sütçü İmam University, 2021.
  • F. Tuğrul,, M. Çitil, A New Perspective on Evaluation System in Education with Intuitionistic Fuzzy Logic and PROMETHEE Algorithm. Journal of Universal Mathematics. 4(1):13-24, 2021.
  • F. Tuğrul,, Evaluation of Papers According to Offset Print Quality: The Intuitionistic Fuzzy Based Multi Criteria Decision Making Mechanism, Pigment Resin Technology, https://doi.org/10.1108/PRT-04-2022-0059, (2022).
  • F. Tuğrul,, Personnel Selection Utilizing The Decision Making Mechanism Created with The Intuitionistic Fuzzy TOPSIS Method, Mugla Journal of Science and Technology, Vol.8, No.2, pp.16-21, (2022).
  • F. Tuğrul, An Approach Utilizing The Intuitionistic Fuzzy TOPSIS Method To Unmanned Air Vehicle Selection, Ikonion Journal of Mathematics, Vol.4, No.2, pp.32-41, (2022).
  • F. Tuğrul,, An Evaluation of Supermarkets From the Lens of Multiple Criteria: The Intuitionistic Fuzzy TOPSIS Method, Black Sea Journal of Engineering and Science, Vol.5, No.4, pp.146-150, (2022).
  • F. Tuğrul, An Innovative Application on Supermarket Selection Through Using Intuitionistic Fuzzy TOPSIS Method, Sakarya University Journal of Science, Vol.26, No.5, pp.2029-2039, (2022).
  • F. Tuğrul, M. Çitil, Application of Mathematical Modeling in Multi Criteria Decision Making Process: Intuitionistic Fuzzy PROMETHEE, Journal of Mathematical Sciences and Modelling, Vol.5, No.2, pp.48-56, (2022).
  • F. Tuğrul, M. Çitil, An Innovative Approach to the Intuitionistic Fuzzy PROMETHEE Method, New Trends in Mathematical Sciences, Vol.10, No.4, pp.63-79, (2022).
  • Z.J. Wang, Derivation Of Intuitionistic Fuzzy Weights Based On Intuitionistic Fuzzy Preference Relations, Applied Mathematical Modelling, Vol.37, pp.6377-6388, (2013).
  • Z.S. Xu, R.R. Yager, Some Geometric Aggregation Operators Based On Intuitionistic Fuzzy Set, International Journal of General Systems, Vol.35, pp.417-433, (2006).
  • Z.S. Xu, Intuitionistic Fuzzy Aggregation Operators, IEEE Transactions on Fuzzy Systems, Vol.15, pp.1179-1187, (2007).
  • Z.S. Xu, Intuitionistic Preference Relations And Their Application In Group Decision Making, Information Sciences, Vol.177, No.11, pp.2363-2379, (2007).
  • Z.S. Xu, H.C. Liao, Intuitionistic Fuzzy Analytic Hierarchy Process, IEEE Transactions on Fuzzy Systems, Vol.22, No.4, pp.749-761, (2014).
  • K.J. Zhang, C. Kluck, G. Achari, A Comparative Approach For Ranking Contaminated Sites Based On The Risk Assessment Paradigm Using Fuzzy PROMETHEE, Environmental Management, Vol.44, pp.952-967, (2009).

PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS

Yıl 2024, Cilt: 7 Sayı: 1, 56 - 63, 31.01.2024

Erhan Çetinkaya Ali Sınar Ahu Meryem Çuvalcıoğlu

Öz

Thanks to intuitionistic fuzzy sets, it has provided many benefits in application areas where the degree of precision is also taken into account. Education, one of these application areas, is an area where decision-making mechanisms play a very important role. Predicting student success and guiding the student in the future by taking into account every situation is an important step for decision makers and educators.

Anahtar Kelimeler

Intuitionistic Fuzzy sets Decision Making. Fuzzy Set Theory

Teşekkür

Thanks to Ph. D. Feride TUĞRUL for her Support

Kaynakça

  • L.A. Zadeh, Fuzzy Sets , Information and Control, Vol.8, pp.338-353, (1965).
  • K.T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, Vol.20, No.1, pp.87-96, (1986).
  • K.T. Atanassov, K.T. Intuitionistic Fuzzy Sets, VII ITKR.s Session, Sofia., June, (1983).
  • J.P. Brans, L'ingenierie de la decision: lelaboration dinstruments daide a la decision. Colloq. daide a la decision, Universite Laval, Quebec, Canada, Aou, (1982).
  • J.P. Brans, B. Mareschal, Chapter 5: PROMETHEE Methods. In:Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research- Management Science, Vol.78, Springer, New York, NY., (2005).
  • J.P. Brans, P. Vincke, A Preference Ranking Organisation Method (The PROMETHEE Method for Multiple Criteria Decision Making). Management Science, Vol.31, No.6, pp.647-656, (1985).
  • A. Albadvi, Formulating national information technology strategies: A preference ranking model using PROMETHEE method. European Journal of Operational Research, Vol.153, pp.290-296, (2004).
  • A. Albadvi, S.K. Chaharsooghi, A. Esfahanipour, Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, Vol.177, pp.673-683, (2007).
  • M. Behzadian, RB. Kazemzadeh, A. Albadvi, M. Aghdasi, PROMETHEE:A comprehensive literature reviewon methodologies and applications. European Journal of Operational Research, Vol.200 pp.198-215, (2010).
  • J.P. Brans, B. Mareschal, P. Vincke, PROMETHEE: a new family of outranking methods in multicriteria analysis. Operational Research, IFORS Vol.84, pp.477-490, (1984).
  • G. Çuvalcıoğlu, Controlled Set Theory, Bogolyubov Readings DIF-2013, Ukraine, pp.342, (2013).
  • G. Çuvalcıoğlu, The extension of modal operators diagram with last operators, Notes on Intuitionistic Fuzzy Sets, Vol.19, No.3, pp.56-61 (2013).
  • G. Çuvalcıoğlu, Some Properties of Controlled Set Theory, Notes on Intuitionistic Fuzzy Set, Vol.20, No.2, pp.37-42, (2014). G. Çuvalcıoğlu, E. Aykut, An Application Of Some Intuitionistic Fuzzy Modal Operators To Agriculture, Notes on IFS, Vol.21, No.2, pp.140-149, (2015).
  • G. Çuvalcıoğlu, V. Bureva, A. Michalikova, Intercriteria Analysis Applied To University Ranking System Of Turkey, Notes on Intuitionistic Fuzzy Sets, Vol.25, No.4, pp.90-97, (2019).
  • N. Halouani, H. Chabchoub, JM. Martel, PROMETHEEMD- 2T method for project selection, European Journal of Operational Research, Vol.195, pp.841-849, (2009).
  • R. Krishankumar, KS. Ravichandran, A.B., Saeid, A New Extension to PROMETHEE Under Intuitionistic Fuzzy Environment For Solving Supplier Selection Problem With Linguistic Preferences, Vol.60, pp.564-576, (2017).
  • H.C. Liao, Z.S. Xu, Priorities of Intuitionistic Fuzzy Preference Relation Based on Multiplicative Consistency, IEEE Transactions on Fuzzy Systems, Vol.22, No.6, pp.1669-1681, (2014).
  • H.C. Liao, Z.S. Xu, Some Algorithms For Group Decision Making With Intuitionistic Fuzzy Preference Information, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Vol.22, No.4, pp.505-529, (2014).
  • H.C. Liao, Z.S. Xu, Multi-Criteria Decision Making with Intuitionistic Fuzzy PROMETHEE, Journal of Intelligent Fuzzy Systems, Vol.27, pp.1703-1717, (2014).
  • M. Majumder, Multi Criteria Decision Making, Chapter 2, Springer, pp.35-47, (2015).
  • E. Szmidt, J. Kacprzyk, Amount Of Information And Its Reliability In The Ranking Of Atanassov’S Intuitionistic Fuzzy Alternatives, in: E. Rakus-Andersson, R.R. Yager, N. Ichalkaranje, L. Jain, ed. Recent advances in decision making (Studies in Computational Intelligence), Berlin, Germany: Springer, pp.7-19, (2009).
  • F. Tuğrul, M. Çitil, S. Balcı, On The Determination Students Aptitude Using Intuitionistic Fuzzy Logic, Journal of Universal Mathematics, Vol.2, No.1, pp.36-41, (2019).
  • F. Tuğrul, M. Çitil, B. Karasolak, M. Dağlı, Interpretation of Physical Conditions of Schools with Fuzzy Multi Criteria Decision Making, Journal of Universal Mathematics, Vol.3, No.1, pp.46-52, (2020).
  • F. Tuğrul, Application of Intuitionistic Fuzzy Logic with a New Method in Multi Criteria Decision Making Process. Ph.D. Thesis. Kahramanmaraş Sütçü İmam University, 2021.
  • F. Tuğrul,, M. Çitil, A New Perspective on Evaluation System in Education with Intuitionistic Fuzzy Logic and PROMETHEE Algorithm. Journal of Universal Mathematics. 4(1):13-24, 2021.
  • F. Tuğrul,, Evaluation of Papers According to Offset Print Quality: The Intuitionistic Fuzzy Based Multi Criteria Decision Making Mechanism, Pigment Resin Technology, https://doi.org/10.1108/PRT-04-2022-0059, (2022).
  • F. Tuğrul,, Personnel Selection Utilizing The Decision Making Mechanism Created with The Intuitionistic Fuzzy TOPSIS Method, Mugla Journal of Science and Technology, Vol.8, No.2, pp.16-21, (2022).
  • F. Tuğrul, An Approach Utilizing The Intuitionistic Fuzzy TOPSIS Method To Unmanned Air Vehicle Selection, Ikonion Journal of Mathematics, Vol.4, No.2, pp.32-41, (2022).
  • F. Tuğrul,, An Evaluation of Supermarkets From the Lens of Multiple Criteria: The Intuitionistic Fuzzy TOPSIS Method, Black Sea Journal of Engineering and Science, Vol.5, No.4, pp.146-150, (2022).
  • F. Tuğrul, An Innovative Application on Supermarket Selection Through Using Intuitionistic Fuzzy TOPSIS Method, Sakarya University Journal of Science, Vol.26, No.5, pp.2029-2039, (2022).
  • F. Tuğrul, M. Çitil, Application of Mathematical Modeling in Multi Criteria Decision Making Process: Intuitionistic Fuzzy PROMETHEE, Journal of Mathematical Sciences and Modelling, Vol.5, No.2, pp.48-56, (2022).
  • F. Tuğrul, M. Çitil, An Innovative Approach to the Intuitionistic Fuzzy PROMETHEE Method, New Trends in Mathematical Sciences, Vol.10, No.4, pp.63-79, (2022).
  • Z.J. Wang, Derivation Of Intuitionistic Fuzzy Weights Based On Intuitionistic Fuzzy Preference Relations, Applied Mathematical Modelling, Vol.37, pp.6377-6388, (2013).
  • Z.S. Xu, R.R. Yager, Some Geometric Aggregation Operators Based On Intuitionistic Fuzzy Set, International Journal of General Systems, Vol.35, pp.417-433, (2006).
  • Z.S. Xu, Intuitionistic Fuzzy Aggregation Operators, IEEE Transactions on Fuzzy Systems, Vol.15, pp.1179-1187, (2007).
  • Z.S. Xu, Intuitionistic Preference Relations And Their Application In Group Decision Making, Information Sciences, Vol.177, No.11, pp.2363-2379, (2007).
  • Z.S. Xu, H.C. Liao, Intuitionistic Fuzzy Analytic Hierarchy Process, IEEE Transactions on Fuzzy Systems, Vol.22, No.4, pp.749-761, (2014).
  • K.J. Zhang, C. Kluck, G. Achari, A Comparative Approach For Ranking Contaminated Sites Based On The Risk Assessment Paradigm Using Fuzzy PROMETHEE, Environmental Management, Vol.44, pp.952-967, (2009).
Toplam 38 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Temel Matematik (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Erhan Çetinkaya 0009-0008-4158-5830

Ali Sınar 0009-0009-4273-4639

Ahu Meryem Çuvalcıoğlu 0009-0007-0987-1207

Yayımlanma Tarihi 31 Ocak 2024
Gönderilme Tarihi 20 Aralık 2023
Kabul Tarihi 29 Ocak 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 7 Sayı: 1

Kaynak Göster

APA Çetinkaya, E., Sınar, A., & Çuvalcıoğlu, A. M. (2024). PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS. Journal of Universal Mathematics, 7(1), 56-63. https://doi.org/10.33773/jum.1407286
AMA Çetinkaya E, Sınar A, Çuvalcıoğlu AM. PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS. JUM. Ocak 2024;7(1):56-63. doi:10.33773/jum.1407286
Chicago Çetinkaya, Erhan, Ali Sınar, ve Ahu Meryem Çuvalcıoğlu. “PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS”. Journal of Universal Mathematics 7, sy. 1 (Ocak 2024): 56-63. https://doi.org/10.33773/jum.1407286.
EndNote Çetinkaya E, Sınar A, Çuvalcıoğlu AM (01 Ocak 2024) PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS. Journal of Universal Mathematics 7 1 56–63.
IEEE E. Çetinkaya, A. Sınar, ve A. M. Çuvalcıoğlu, “PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS”, JUM, c. 7, sy. 1, ss. 56–63, 2024, doi: 10.33773/jum.1407286.
ISNAD Çetinkaya, Erhan vd. “PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS”. Journal of Universal Mathematics 7/1 (Ocak 2024), 56-63. https://doi.org/10.33773/jum.1407286.
JAMA Çetinkaya E, Sınar A, Çuvalcıoğlu AM. PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS. JUM. 2024;7:56–63.
MLA Çetinkaya, Erhan vd. “PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS”. Journal of Universal Mathematics, c. 7, sy. 1, 2024, ss. 56-63, doi:10.33773/jum.1407286.
Vancouver Çetinkaya E, Sınar A, Çuvalcıoğlu AM. PREDICTION OF STUDENT SUCCESS WITH DECISION-MAKING METHODS. JUM. 2024;7(1):56-63.
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