Fatma Dammak
Orcid: 0000-0003-4177-3758
According to our database1,
Fatma Dammak
authored at least 12 papers
between 2014 and 2021.
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Bibliography
2021
An efficient ABAQUS solid shell element implementation for low velocity impact analysis of FGM plates.
Eng. Comput., 2021
Vibration characteristics of plates and shells with functionally graded pores imperfections using an enhanced finite shell element.
Comput. Math. Appl., 2021
Numerical modeling of porous functionally graded shells response in large deflection.
Comput. Math. Appl., 2021
2020
A new ranking method for TOPSIS and VIKOR under interval valued intuitionistic fuzzy sets and possibility measures.
J. Intell. Fuzzy Syst., 2020
Intuitionistic Fuzzy PROMETHEE II Technique for Multi-criteria Decision Making Problems Based on Distance and Similarity measures.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
2017
ELECTRE method using interval-valued intuitionistic fuzzy sets and possibility theory for multi-criteria decision making problem resolution.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
An Exhaustive Study of Possibility Measures of Interval-Valued Intuitionistic Fuzzy Sets and Application to Multicriteria Decision Making.
Adv. Fuzzy Syst., 2016
Application and comparison of possibility measures applied to multi-criteria decision making method using intuitionistic fuzzy information.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016
2015
The impact of criterion weights techniques in TOPSIS method of multi-criteria decision making in crisp and intuitionistic fuzzy domains.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
A comparative analysis for multi-attribute decision making methods: TOPSIS, AHP, VIKOR using intuitionistic fuzzy sets.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Proposition of a classification system "β - LS - SVM" and its application to medical data sets.
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014