Research Article
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Year 2024, Volume: 7 Issue: 1, 29 - 36, 31.01.2024

Abstract

References

  • 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).

USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT

Year 2024, Volume: 7 Issue: 1, 29 - 36, 31.01.2024

Abstract

In order to determine student success, considering other factors that affect success along with exam success is a very important step in terms of education. In this study, the decision-making method that evaluates student achievements with guidance counselors was used. Student achievements were estimated by using a combination of intuitionistic fuzzy sets and decisionmaking methods.

Thanks

Thanks to Ph. D. Feride TUĞRUL for her support

References

  • 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).
There are 38 citations in total.

Details

Primary Language English
Subjects Pure Mathematics (Other)
Journal Section Research Article
Authors

Ali Sınar 0009-0009-4273-4639

Erhan Çetinkaya 0009-0008-4158-5830

Ahu Meryem Çuvalcıoğlu 0009-0007-0987-1207

Publication Date January 31, 2024
Submission Date December 20, 2023
Acceptance Date January 29, 2024
Published in Issue Year 2024 Volume: 7 Issue: 1

Cite

APA Sınar, A., Çetinkaya, E., & Çuvalcıoğlu, A. M. (2024). USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT. Journal of Universal Mathematics, 7(1), 29-36. https://doi.org/10.33773/jum.1407282
AMA Sınar A, Çetinkaya E, Çuvalcıoğlu AM. USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT. JUM. January 2024;7(1):29-36. doi:10.33773/jum.1407282
Chicago Sınar, Ali, Erhan Çetinkaya, and Ahu Meryem Çuvalcıoğlu. “USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT”. Journal of Universal Mathematics 7, no. 1 (January 2024): 29-36. https://doi.org/10.33773/jum.1407282.
EndNote Sınar A, Çetinkaya E, Çuvalcıoğlu AM (January 1, 2024) USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT. Journal of Universal Mathematics 7 1 29–36.
IEEE A. Sınar, E. Çetinkaya, and A. M. Çuvalcıoğlu, “USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT”, JUM, vol. 7, no. 1, pp. 29–36, 2024, doi: 10.33773/jum.1407282.
ISNAD Sınar, Ali et al. “USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT”. Journal of Universal Mathematics 7/1 (January 2024), 29-36. https://doi.org/10.33773/jum.1407282.
JAMA Sınar A, Çetinkaya E, Çuvalcıoğlu AM. USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT. JUM. 2024;7:29–36.
MLA Sınar, Ali et al. “USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT”. Journal of Universal Mathematics, vol. 7, no. 1, 2024, pp. 29-36, doi:10.33773/jum.1407282.
Vancouver Sınar A, Çetinkaya E, Çuvalcıoğlu AM. USING DECISION MAKING METHODS TO ASSESS STUDENT ACHIEVEMENT. JUM. 2024;7(1):29-36.