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Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons

Yıl 2021, Sayı: 34, 82 - 114, 30.03.2021

Serdar Enginoğlu , Tuğçe Aydın , Samet Memiş , Burak Arslan

Öz

The concept of fuzzy parameterized fuzzy soft matrices (fpfs-matrices) is a mathematical tool coming into prominence with its ability to model decision-making problems. Therefore, in the present study, we configure soft decision-making (SDM) methods having been constructed with soft sets, soft matrices, and their fuzzy hybrid versions and introduced between 2013 and 2016 to operate them in fpfs-matrices space faithfully to the original. We then analyse the decision-making performances of the configured methods herein by using five test cases containing totally ordered alternatives. Thus, we determine the methods producing a valid ranking order according to all the test cases and apply the determined methods to a performance-based value assignment (PVA) problem in which the filters are to be ranked in terms of their image denoising performances. Therefore, we compare the performance ranking of the filters by using the methods. Finally, we discuss the need for further research.

Anahtar Kelimeler

Fuzzy sets Soft sets Soft matrices fpfs-matrices Soft decision-making PVA problem

Destekleyen Kurum

Office of Scientific Research Projects Coordination at Çanakkale Onsekiz Mart University

Proje Numarası

FBA-2020-3259

Teşekkür

This work was supported by the Office of Scientific Research Projects Coordination at Çanakkale Onsekiz Mart University, Grant number: FBA-2020-3259.

Kaynakça

  • D. Molodtsov, Soft Set Theory-First Results, Computers Mathematics with Applications 37(4-5) (1999) 19-31.
  • P. K. Maji, R. Biswas, A. R. Roy, Fuzzy Soft Sets, The Journal of Fuzzy Mathematics 9(3) (2001) 589-602.
  • N. Çağman, S. Enginoğlu, F. Çıtak, Fuzzy Soft Set Theory and Its Applications, Iranian Journal of Fuzzy Systems 8(3) (2011) 137-147.
  • N. Çağman, F. Çıtak, S. Enginoğlu, FP-Soft Set Theory and Its Applications, Annals of Fuzzy Mathematics and Informatics 2(2) (2011) 219-226.
  • N. Çağman, F. Çıtak, S. Enginoğlu, Fuzzy Parameterized Fuzzy Soft Set Theory and Its Applications, Turkish Journal of Fuzzy Systems 1(1) (2010) 21-35.
  • N. Çağman, S. Enginoğlu, Soft Matrix Theory and Its Decision Making, Computers and Mathematics with Applications 59(10) (2010) 3308-3314.
  • N. Çağman, S. Enginoğlu, Fuzzy Soft Matrix Theory and Its Application in Decision Making, Iranian Journal of Fuzzy Systems 9(1) (2012) 109-119.
  • S. Enginoğlu, N. Çaǧman, Fuzzy Parameterized Fuzzy Soft Matrices and Their Application in Decision-Making, TWMS Journal of Applied and Engineering Mathematics 10(4) (2020) 1105-1115.
  • F. Çıtak, N. Çağman, Soft Int-Rings and Its Algebraic Applications, Journal of Intelligent and Fuzzy Systems 28(3) (2015) 1225-1233.
  • A. Sezgin, A New Approach to Semigroup Theory I: Soft Union Semigroups, Ideals and bi-ideals, Algebra Letters 2016(3) (2016) 1-46.
  • A. Ullah, F. Karaaslan, I. Ahmad, Soft Uni-Abel-Grassmann’s Groups, European Journal of Pure and Applied Mathematics 11(2) (2018) 517-536.
  • A. Sezgin, N. Çağman, F. Çıtak, α-Inclusions Applied to Group Theory via Soft Set and Logic, Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 68(1) (2019) 334-352.
  • S. Enginoğlu, N. Çağman, S. Karataş, T. Aydın, On Soft Topology, El-Cezerî Journal of Science and Engineering 2(3) (2015) 23-38.
  • G. Şenel, A New Approach to Hausdorff Space Theory via the Soft Sets, Mathematical Problems in Engineering Article ID 2196743, (2016) 6 pages.
  • J. Thomas, S. J. John, A Note on Soft Topology, Journal of New Results Science 5(11) (2016) 24-29.
  • S. Atmaca, Relationship between Fuzzy Soft Topological Spaces and (X,τ_e ) Parameter Spaces, Cumhuriyet Sciences Journal 38(4) (2017) 77-85.
  • M. Riaz, M. R. Hashmi, Fuzzy Parameterized Fuzzy Soft Topology with Applications, Annals of Fuzzy Mathematics and Informatics 13(5) (2017) 593-613.
  • M. Riaz, M. R. Hashmi, A. Farooq, Fuzzy Parameterized Fuzzy Soft Metric Spaces, Journal of Mathematical Analysis 9(2) (2018) 25-36.
  • G. Şenel, 2018. Analysing the Locus of Soft Spheres: Illustrative Cases and Drawings, European Journal of Pure and Applied Mathematics 11(4) (2018) 946-957.
  • N. Çağman, S. Enginoğlu, Soft Sets Theory and uni-int Decision-Making, European Journal of Operational Research 207(2) (2010) 848-855.
  • S. Enginoğlu, M. Ay, N. Çağman, V. Tolun, Classification of The Monolithic Columns Produced in Troad and Mysia Region Ancient Granite Quarries in Northwestern Anatolia via Soft Decision-Making, Bilge International Journal of Science and Technology Research 3(Special Issue) (2019) 21-34.
  • S. Memiş, S. Enginoğlu, U. Erkan, A Data Classification Method in Machine Learning Based on Normalised Hamming Pseudo-Similarity of Fuzzy Parameterized Fuzzy Soft Matrices, Bilge International Journal of Science and Technology Research 3(Special Issue) (2019) 1-8.
  • K. Gong, P. Wang, Y. Peng, Fault-Tolerant Enhanced Bijective Soft Set with Applications, Applied Soft Computing 54 (2017) 431-439.
  • S. Sreedevi, T. J. Mathew, E. Sherly, Computerized Classification of Malignant and Normal Microcalcifications on Mammograms: Using Soft Set Theory, International Conference in Information Science (ICIS) (2016) 131-137.
  • B. Handaga, H. Onn, T. Herawan, FSSC: An Algorithm for Classifying Numerical Data Using Fuzzy Soft Set Theory, International Journal of Fuzzy System Applications 3 (2012) 29-46.
  • S. A. Lashari, R. Ibrahim, N. Senan, Medical Data Classification Using Similarity Measure Of Fuzzy Soft Set Based Distance Measure, Journal of Telecommunication, Electronic and Computer Engineering 9 (2017) 95-99.
  • S. Enginoğlu, S. Memiş, A Configuration of Some Soft Decision-Making Algorithms via fpfs-matrices, Cumhuriyet Science Journal 39(4) (2018) 871-881.
  • T. Aydın, S. Enginoğlu, A Configuration of Five of the Soft Decision-Making Methods via Fuzzy Parameterized Fuzzy Soft Matrices and Their Application to a Performance-Based Value Assignment Problem, M. Kılıç, K. Özkan, M. Karaboyacı, K. Taşdelen, H. Kandemir, A. Beram, (Ed.), International Conferences on Science and Technology, Natural Science and Technology (2019) 56-67 Prizren, Kosovo.
  • S. Enginoğlu, T. Öngel, Configurations of Several Soft Decision-Making Methods to Operate in Fuzzy Parameterized Fuzzy Soft Matrices Space, Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering 21(1) (2020) 58-71.
  • T. Aydın, S. Enginoğlu, Configurations of SDM methods Proposed between 1999 and 2012: A Follow-Up Study, K. Yıldırım, (Ed.) International Conference on Mathematics: “An Istanbul Meeting for World Mathematicians” (2020) 192-211 Istanbul.
  • S. Enginoğlu, S. Memiş, Comment on “Fuzzy soft sets” [The Journal of Fuzzy Mathematics, 9(3), 2001, 589-602], International Journal of Latest Engineering Research and Applications 3(9) (2018) 1-9.
  • S. Enginoğlu, S. Memiş, B. Arslan, Comment (2) on Soft Set Theory and uni-int Decision Making [European Journal of Operational Research, (2010) 207, 848-855], Journal of New Theory (25) (2018) 84-102.
  • S. Enginoğlu, S. Memiş, T. Öngel, Comment on Soft Set Theory and Uni-Int Decision Making [European Journal of Operational Research, (2010) 207, 848-855], Journal of New Results in Science 7(3) (2018) 28-43.
  • S. Enginoğlu, S. Memiş, N. Çağman, A Generalisation of Fuzzy Soft Max-Min Decision-Making Method and Its Application to A Performance-Based Value Assignment in Image Denoising, El-Cezerî Journal of Science and Engineering 6(3) (2019) 466-481.
  • S. Enginoğlu, S. Memiş, F. Karaaslan, A New Approach to Group Decision-Making Method Based on TOPSIS under Fuzzy Soft Environment, Journal of New Results in Science 8(2) (2019) 42-52.
  • S. Enginoğlu, S. Memiş, A New Approach to the Criteria-Weighted Fuzzy Soft Max-Min Decision-Making Method and Its Application to a Performance-Based Value Assignment Problem, Journal of New Results in Science 9(1) (2020) 19-36.
  • S. Enginoğlu, S. Memiş, A Review on Some Soft Decision-Making Methods. Mathematical Studies and Applications (2018) 437-442 Karaman, Turkey.
  • S. Enginoğlu, S. Memiş, A Review on An Application of Fuzzy Soft Set in Multicriteria Decision Making Problem [P. K. Das, R. Borgohain, International Journal of Computer Applications 38(12) (2012) 33-37], Mathematical Studies and Applications (2018) 173-178 Karaman, Turkey.
  • S. Enginoğlu, S. Memiş, B. Arslan, A Fast and Simple Soft Decision-Making Algorithm: EMA18an, Mathematical Studies and Applications (2018) 428-436 Karaman, Turkey.
  • S. Enginoğlu, S. Memiş, T. Öngel, A Fast and Simple Soft Decision-Making Algorithm: EMO18o, Mathematical Studies and Applications (2018) 179-187 Karaman, Turkey.
  • Y. Cheng, Z. Xiao, H. Lin, A Fuzzy Soft Set Approach to Decision Making Problems Based on The Optimum Object for Ideal and Spatial Distance, Advances in Information Sciences and Service Sciences 5(10) (2013) 965-974.
  • B. H. Han, S. L. Geng, Pruning Method for Optimal Solutions of 〖Int〗^m-〖Int〗^n Decision Making Scheme, European Journal of Operational Research 231(3) (2013) 779-783.
  • K. Gogoi, A. Kr. Dutta, C. Chutia, Application of Fuzzy Soft Set Theory in Day to Day Problems, International Journal of Computer Applications 85(7) (2014) 27-31.
  • A. Kharal, Soft Approximations and Uni-Int Decision Making, The Scientific World Journal Article ID 327408 (2014) 7 pages.
  • Z. Zhang, A Note on Soft Set Theory and uni-int Decision Making, Advances in Research 2(8) (2014) 469-477.
  • J. Zhan, K. Zhu, Reviews on Decision Making Methods Based on (Fuzzy) Soft Sets and Rough Soft Sets, Journal of Intelligent and Fuzzy Systems 29 (2015) 1169-1176.
  • H. Aktaş, N. Çağman, Soft Decision-Making Methods Based on Fuzzy Sets and Soft Sets, Journal of Intelligent and Fuzzy Systems 30 (2016) 2797-2803.
  • X. Guan, Y. Li, F. Feng, A New Order Relation on Fuzzy Soft Sets and Its Application, Soft Computing 17(1) (2013) 63-70.
  • N. H. Sulaiman, D. Mohamad, A Set Theoretic Similarity Measure for Fuzzy Soft Sets and Its Application in Group Decision Making, Proceedings of The National Symposium on Mathematical Sciences (2013) 237-244.
  • L. Wenjun, L. Qingguo, An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets, The Scientific World Journal Article ID 514369 (2014) 6 pages.
  • N. Xie, G. Wen, Z. Li, A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis, Computational and Mathematical Methods in Medicine Article ID 581316 (2014) 12 pages.
  • Y. W. Yang, P. F. He, X. L. Xin, A Decision-Making Method for The Quality Identification of Wines Based on Fuzzy Soft Sets, Fuzzy Information and Engineering 6(1) (2014) 19-27.
  • J. C. R. Alcantud, Fuzzy Soft Set Based Decision Making: A Novel Alternative Approach, Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (2015) 106-111.
  • Z. Haiyan, J. Jingjing, Fuzzy Soft Relation and Its Application in Decision Making, International Conference on Modelling, Identification and Control (ICMIC) (2015) Sousse, Tunisia.
  • Z. Li, G. Wen, N. Xie, An Approach to Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and Dempster–Shafer Theory of Evidence: An Application in Medical Diagnosis, Artificial Intelligence in Medicine 64 (2015) 161-171.
  • H. Tang, A Novel Fuzzy Soft Set Approach in Decision Making Based on Grey Relational Analysis and Dempster–Shafer Theory of Evidence, Applied Soft Computing 31 (2015) 317-325.
  • J. C. R. Alcantud, A Novel Algorithm for Fuzzy Soft Set Based Decision Making from Multiobserver Input Parameter Data Set, Information Fusion 29 (2016) 142-148.
  • Z. Haiyan, A Multi-Attribute Decision-Making Method Based on Fuzzy Soft Set Theory, Journal of Research in Engineering and Applied Sciences 1(4) (2016) 162-165.
  • K. C. Nayak, B. S. Rath, S. C. Mohapatra, A Soft Set Approach in Investment Decision, International Journal of Latest Technology in Engineering, Management and Applied Science 5(2) (2016) 58-60.
  • D. S. Rajput, N. Khare, Fuzzy Soft Set Decision-Making Model for Social Networking Sites, International Journal of Social Network Mining 2(3) (2016) 256-266.
  • V. Renukadevi, G. Sangeetha, A Novel Approach to Decision Making via Fuzzy Soft Sets, Turkish Journal of Fuzzy Systems 7(1) (2016) 41-54.
  • T. R. Sooraj, R. K. Mohanty, B. K. Tripathy, Fuzzy Soft Set Theory and Its Application in Group Decision Making, Advances in Intelligent Systems and Computing 452 (2016) 171-178.
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Yıl 2021, Sayı: 34, 82 - 114, 30.03.2021

Serdar Enginoğlu , Tuğçe Aydın , Samet Memiş , Burak Arslan

Öz

Proje Numarası

FBA-2020-3259

Kaynakça

  • D. Molodtsov, Soft Set Theory-First Results, Computers Mathematics with Applications 37(4-5) (1999) 19-31.
  • P. K. Maji, R. Biswas, A. R. Roy, Fuzzy Soft Sets, The Journal of Fuzzy Mathematics 9(3) (2001) 589-602.
  • N. Çağman, S. Enginoğlu, F. Çıtak, Fuzzy Soft Set Theory and Its Applications, Iranian Journal of Fuzzy Systems 8(3) (2011) 137-147.
  • N. Çağman, F. Çıtak, S. Enginoğlu, FP-Soft Set Theory and Its Applications, Annals of Fuzzy Mathematics and Informatics 2(2) (2011) 219-226.
  • N. Çağman, F. Çıtak, S. Enginoğlu, Fuzzy Parameterized Fuzzy Soft Set Theory and Its Applications, Turkish Journal of Fuzzy Systems 1(1) (2010) 21-35.
  • N. Çağman, S. Enginoğlu, Soft Matrix Theory and Its Decision Making, Computers and Mathematics with Applications 59(10) (2010) 3308-3314.
  • N. Çağman, S. Enginoğlu, Fuzzy Soft Matrix Theory and Its Application in Decision Making, Iranian Journal of Fuzzy Systems 9(1) (2012) 109-119.
  • S. Enginoğlu, N. Çaǧman, Fuzzy Parameterized Fuzzy Soft Matrices and Their Application in Decision-Making, TWMS Journal of Applied and Engineering Mathematics 10(4) (2020) 1105-1115.
  • F. Çıtak, N. Çağman, Soft Int-Rings and Its Algebraic Applications, Journal of Intelligent and Fuzzy Systems 28(3) (2015) 1225-1233.
  • A. Sezgin, A New Approach to Semigroup Theory I: Soft Union Semigroups, Ideals and bi-ideals, Algebra Letters 2016(3) (2016) 1-46.
  • A. Ullah, F. Karaaslan, I. Ahmad, Soft Uni-Abel-Grassmann’s Groups, European Journal of Pure and Applied Mathematics 11(2) (2018) 517-536.
  • A. Sezgin, N. Çağman, F. Çıtak, α-Inclusions Applied to Group Theory via Soft Set and Logic, Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 68(1) (2019) 334-352.
  • S. Enginoğlu, N. Çağman, S. Karataş, T. Aydın, On Soft Topology, El-Cezerî Journal of Science and Engineering 2(3) (2015) 23-38.
  • G. Şenel, A New Approach to Hausdorff Space Theory via the Soft Sets, Mathematical Problems in Engineering Article ID 2196743, (2016) 6 pages.
  • J. Thomas, S. J. John, A Note on Soft Topology, Journal of New Results Science 5(11) (2016) 24-29.
  • S. Atmaca, Relationship between Fuzzy Soft Topological Spaces and (X,τ_e ) Parameter Spaces, Cumhuriyet Sciences Journal 38(4) (2017) 77-85.
  • M. Riaz, M. R. Hashmi, Fuzzy Parameterized Fuzzy Soft Topology with Applications, Annals of Fuzzy Mathematics and Informatics 13(5) (2017) 593-613.
  • M. Riaz, M. R. Hashmi, A. Farooq, Fuzzy Parameterized Fuzzy Soft Metric Spaces, Journal of Mathematical Analysis 9(2) (2018) 25-36.
  • G. Şenel, 2018. Analysing the Locus of Soft Spheres: Illustrative Cases and Drawings, European Journal of Pure and Applied Mathematics 11(4) (2018) 946-957.
  • N. Çağman, S. Enginoğlu, Soft Sets Theory and uni-int Decision-Making, European Journal of Operational Research 207(2) (2010) 848-855.
  • S. Enginoğlu, M. Ay, N. Çağman, V. Tolun, Classification of The Monolithic Columns Produced in Troad and Mysia Region Ancient Granite Quarries in Northwestern Anatolia via Soft Decision-Making, Bilge International Journal of Science and Technology Research 3(Special Issue) (2019) 21-34.
  • S. Memiş, S. Enginoğlu, U. Erkan, A Data Classification Method in Machine Learning Based on Normalised Hamming Pseudo-Similarity of Fuzzy Parameterized Fuzzy Soft Matrices, Bilge International Journal of Science and Technology Research 3(Special Issue) (2019) 1-8.
  • K. Gong, P. Wang, Y. Peng, Fault-Tolerant Enhanced Bijective Soft Set with Applications, Applied Soft Computing 54 (2017) 431-439.
  • S. Sreedevi, T. J. Mathew, E. Sherly, Computerized Classification of Malignant and Normal Microcalcifications on Mammograms: Using Soft Set Theory, International Conference in Information Science (ICIS) (2016) 131-137.
  • B. Handaga, H. Onn, T. Herawan, FSSC: An Algorithm for Classifying Numerical Data Using Fuzzy Soft Set Theory, International Journal of Fuzzy System Applications 3 (2012) 29-46.
  • S. A. Lashari, R. Ibrahim, N. Senan, Medical Data Classification Using Similarity Measure Of Fuzzy Soft Set Based Distance Measure, Journal of Telecommunication, Electronic and Computer Engineering 9 (2017) 95-99.
  • S. Enginoğlu, S. Memiş, A Configuration of Some Soft Decision-Making Algorithms via fpfs-matrices, Cumhuriyet Science Journal 39(4) (2018) 871-881.
  • T. Aydın, S. Enginoğlu, A Configuration of Five of the Soft Decision-Making Methods via Fuzzy Parameterized Fuzzy Soft Matrices and Their Application to a Performance-Based Value Assignment Problem, M. Kılıç, K. Özkan, M. Karaboyacı, K. Taşdelen, H. Kandemir, A. Beram, (Ed.), International Conferences on Science and Technology, Natural Science and Technology (2019) 56-67 Prizren, Kosovo.
  • S. Enginoğlu, T. Öngel, Configurations of Several Soft Decision-Making Methods to Operate in Fuzzy Parameterized Fuzzy Soft Matrices Space, Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering 21(1) (2020) 58-71.
  • T. Aydın, S. Enginoğlu, Configurations of SDM methods Proposed between 1999 and 2012: A Follow-Up Study, K. Yıldırım, (Ed.) International Conference on Mathematics: “An Istanbul Meeting for World Mathematicians” (2020) 192-211 Istanbul.
  • S. Enginoğlu, S. Memiş, Comment on “Fuzzy soft sets” [The Journal of Fuzzy Mathematics, 9(3), 2001, 589-602], International Journal of Latest Engineering Research and Applications 3(9) (2018) 1-9.
  • S. Enginoğlu, S. Memiş, B. Arslan, Comment (2) on Soft Set Theory and uni-int Decision Making [European Journal of Operational Research, (2010) 207, 848-855], Journal of New Theory (25) (2018) 84-102.
  • S. Enginoğlu, S. Memiş, T. Öngel, Comment on Soft Set Theory and Uni-Int Decision Making [European Journal of Operational Research, (2010) 207, 848-855], Journal of New Results in Science 7(3) (2018) 28-43.
  • S. Enginoğlu, S. Memiş, N. Çağman, A Generalisation of Fuzzy Soft Max-Min Decision-Making Method and Its Application to A Performance-Based Value Assignment in Image Denoising, El-Cezerî Journal of Science and Engineering 6(3) (2019) 466-481.
  • S. Enginoğlu, S. Memiş, F. Karaaslan, A New Approach to Group Decision-Making Method Based on TOPSIS under Fuzzy Soft Environment, Journal of New Results in Science 8(2) (2019) 42-52.
  • S. Enginoğlu, S. Memiş, A New Approach to the Criteria-Weighted Fuzzy Soft Max-Min Decision-Making Method and Its Application to a Performance-Based Value Assignment Problem, Journal of New Results in Science 9(1) (2020) 19-36.
  • S. Enginoğlu, S. Memiş, A Review on Some Soft Decision-Making Methods. Mathematical Studies and Applications (2018) 437-442 Karaman, Turkey.
  • S. Enginoğlu, S. Memiş, A Review on An Application of Fuzzy Soft Set in Multicriteria Decision Making Problem [P. K. Das, R. Borgohain, International Journal of Computer Applications 38(12) (2012) 33-37], Mathematical Studies and Applications (2018) 173-178 Karaman, Turkey.
  • S. Enginoğlu, S. Memiş, B. Arslan, A Fast and Simple Soft Decision-Making Algorithm: EMA18an, Mathematical Studies and Applications (2018) 428-436 Karaman, Turkey.
  • S. Enginoğlu, S. Memiş, T. Öngel, A Fast and Simple Soft Decision-Making Algorithm: EMO18o, Mathematical Studies and Applications (2018) 179-187 Karaman, Turkey.
  • Y. Cheng, Z. Xiao, H. Lin, A Fuzzy Soft Set Approach to Decision Making Problems Based on The Optimum Object for Ideal and Spatial Distance, Advances in Information Sciences and Service Sciences 5(10) (2013) 965-974.
  • B. H. Han, S. L. Geng, Pruning Method for Optimal Solutions of 〖Int〗^m-〖Int〗^n Decision Making Scheme, European Journal of Operational Research 231(3) (2013) 779-783.
  • K. Gogoi, A. Kr. Dutta, C. Chutia, Application of Fuzzy Soft Set Theory in Day to Day Problems, International Journal of Computer Applications 85(7) (2014) 27-31.
  • A. Kharal, Soft Approximations and Uni-Int Decision Making, The Scientific World Journal Article ID 327408 (2014) 7 pages.
  • Z. Zhang, A Note on Soft Set Theory and uni-int Decision Making, Advances in Research 2(8) (2014) 469-477.
  • J. Zhan, K. Zhu, Reviews on Decision Making Methods Based on (Fuzzy) Soft Sets and Rough Soft Sets, Journal of Intelligent and Fuzzy Systems 29 (2015) 1169-1176.
  • H. Aktaş, N. Çağman, Soft Decision-Making Methods Based on Fuzzy Sets and Soft Sets, Journal of Intelligent and Fuzzy Systems 30 (2016) 2797-2803.
  • X. Guan, Y. Li, F. Feng, A New Order Relation on Fuzzy Soft Sets and Its Application, Soft Computing 17(1) (2013) 63-70.
  • N. H. Sulaiman, D. Mohamad, A Set Theoretic Similarity Measure for Fuzzy Soft Sets and Its Application in Group Decision Making, Proceedings of The National Symposium on Mathematical Sciences (2013) 237-244.
  • L. Wenjun, L. Qingguo, An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets, The Scientific World Journal Article ID 514369 (2014) 6 pages.
  • N. Xie, G. Wen, Z. Li, A Method for Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and D-S Theory of Evidence: Application to Medical Diagnosis, Computational and Mathematical Methods in Medicine Article ID 581316 (2014) 12 pages.
  • Y. W. Yang, P. F. He, X. L. Xin, A Decision-Making Method for The Quality Identification of Wines Based on Fuzzy Soft Sets, Fuzzy Information and Engineering 6(1) (2014) 19-27.
  • J. C. R. Alcantud, Fuzzy Soft Set Based Decision Making: A Novel Alternative Approach, Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (2015) 106-111.
  • Z. Haiyan, J. Jingjing, Fuzzy Soft Relation and Its Application in Decision Making, International Conference on Modelling, Identification and Control (ICMIC) (2015) Sousse, Tunisia.
  • Z. Li, G. Wen, N. Xie, An Approach to Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and Dempster–Shafer Theory of Evidence: An Application in Medical Diagnosis, Artificial Intelligence in Medicine 64 (2015) 161-171.
  • H. Tang, A Novel Fuzzy Soft Set Approach in Decision Making Based on Grey Relational Analysis and Dempster–Shafer Theory of Evidence, Applied Soft Computing 31 (2015) 317-325.
  • J. C. R. Alcantud, A Novel Algorithm for Fuzzy Soft Set Based Decision Making from Multiobserver Input Parameter Data Set, Information Fusion 29 (2016) 142-148.
  • Z. Haiyan, A Multi-Attribute Decision-Making Method Based on Fuzzy Soft Set Theory, Journal of Research in Engineering and Applied Sciences 1(4) (2016) 162-165.
  • K. C. Nayak, B. S. Rath, S. C. Mohapatra, A Soft Set Approach in Investment Decision, International Journal of Latest Technology in Engineering, Management and Applied Science 5(2) (2016) 58-60.
  • D. S. Rajput, N. Khare, Fuzzy Soft Set Decision-Making Model for Social Networking Sites, International Journal of Social Network Mining 2(3) (2016) 256-266.
  • V. Renukadevi, G. Sangeetha, A Novel Approach to Decision Making via Fuzzy Soft Sets, Turkish Journal of Fuzzy Systems 7(1) (2016) 41-54.
  • T. R. Sooraj, R. K. Mohanty, B. K. Tripathy, Fuzzy Soft Set Theory and Its Application in Group Decision Making, Advances in Intelligent Systems and Computing 452 (2016) 171-178.
  • J. Wang, Y. Hu, F. Xiao, X. Deng, Y. Deng, A Novel Method to Use Fuzzy Soft Sets in Decision Making Based on Ambiguity Measure and Dempster-Shafer Theory of Evidence: An Application in Medical Diagnosis, Artificial Intelligence in Medicine 69 (2016) 1-11.
  • M. Muthumeenakshi, P. Muralikrishna, A Study on SFPM Analysis Using Fuzzy Soft Set, International Journal of Pure and Applied Mathematics 94(2) (2014) 207-213.
  • İ. Deli, N. Çağman, Relations on FP-Soft Sets Applied to Decision Making Problems, Journal of New Theory (3) (2015) 98-107.
  • X. Zhou, D. Xiang, J. Zhan, Means of FP-Fuzzy Soft Sets and Decision Making, Express Letters 9(10) (2015) 2765-2770.
  • M. Riaz, M. R. Hashmi, Certain Applications of Fuzzy Parameterized Fuzzy Soft Sets in Decision-Making Problems, International Journal of Algebra and Statistics 5(2) (2016) 135-146.
  • S. S. Vani, S. V. D. R. Mohana, J. Haripriya, On Soft Matrices and Their Application in Decision Making, Mathematical Sciences International Research Journal 5(Special Issue) (2016) 1-5.
  • S. Broumi, F. Smarandache, M. Dhar, On Fuzzy Soft Matrix Based on Reference Function, International Journal of Information Engineering and Electronic Business 2(2) (2013) 52-59.
  • N. Sarala, S. Rajkumari, Advantages and Characteristic Features of Human Life in Villages by using Fuzzy Soft Matrices, International Journal Fuzzy Mathematical Archive 9(2) (2015) 251-260.
  • N. Xie, Y. Han, Z. Li, A Novel Approach to Fuzzy Soft Sets in Decision Making Based on Grey Relational Analysis and MYCIN Certainty Factor, International Journal of Computational Intelligence Systems 8(5) (2015) 959-976.
  • J. J. Arockiaraj, S. Madhanraj, Fuzzy Soft Matrix Theory and Its Multi Criteria Decision Making on Radio Frequency, International Journal of Mathematics and Its Applications 4(4) (2016) 137-143.
  • S. Enginoğlu, U. Erkan, S. Memiş, Pixel Similarity-based Adaptive Riesz Mean Filter for Salt-and-Pepper Noise Removal, Multimedia Tools and Applications 78 (2019) 35401-35418.
  • Z. Wang, A. Bovik, H. Sheikh, E. Simoncelli, Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing 13(4) (2004) 600-612.
  • H. R. Sheikh, A. C. Bovik, Image Information and Visual Quality, IEEE Transactions on Image Processing 15(2) (2006) 430-444.
  • S. Enginoğlu, B. Arslan, Intuitionistic Fuzzy Parameterized Intuitionistic Fuzzy Soft Matrices and Their Application in Decision-Making, Computational and Applied Mathematics 39 (2020) Article No. 325.
  • T. Aydın, S. Enginoğlu, Interval-Valued Intuitionistic Fuzzy Parameterized Interval-Valued Intuitionistic Fuzzy Soft Sets and Their Application in Decision-Making, Journal of Ambient Intelligence and Humanized Computing 12 (2021) 1541-1558.
Toplam 77 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Matematik
Bölüm Araştırma Makalesi
Yazarlar

Serdar Enginoğlu 0000-0002-7188-9893

Tuğçe Aydın 0000-0002-8134-1004

Samet Memiş 0000-0002-0958-5872

Burak Arslan 0000-0002-1724-8841

Proje Numarası FBA-2020-3259
Yayımlanma Tarihi 30 Mart 2021
Gönderilme Tarihi 13 Mart 2021
Yayımlandığı Sayı Yıl 2021 Sayı: 34

Kaynak Göster

APA Enginoğlu, S., Aydın, T., Memiş, S., Arslan, B. (2021). Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons. Journal of New Theory(34), 82-114.
AMA Enginoğlu S, Aydın T, Memiş S, Arslan B. Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons. JNT. Mart 2021;(34):82-114.
Chicago Enginoğlu, Serdar, Tuğçe Aydın, Samet Memiş, ve Burak Arslan. “Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed Between 2013 and 2016 and Their Comparisons”. Journal of New Theory, sy. 34 (Mart 2021): 82-114.
EndNote Enginoğlu S, Aydın T, Memiş S, Arslan B (01 Mart 2021) Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons. Journal of New Theory 34 82–114.
IEEE S. Enginoğlu, T. Aydın, S. Memiş, ve B. Arslan, “Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons”, JNT, sy. 34, ss. 82–114, Mart 2021.
ISNAD Enginoğlu, Serdar vd. “Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed Between 2013 and 2016 and Their Comparisons”. Journal of New Theory 34 (Mart 2021), 82-114.
JAMA Enginoğlu S, Aydın T, Memiş S, Arslan B. Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons. JNT. 2021;:82–114.
MLA Enginoğlu, Serdar vd. “Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed Between 2013 and 2016 and Their Comparisons”. Journal of New Theory, sy. 34, 2021, ss. 82-114.
Vancouver Enginoğlu S, Aydın T, Memiş S, Arslan B. Operability-Oriented Configurations of the Soft Decision-Making Methods Proposed between 2013 and 2016 and Their Comparisons. JNT. 2021(34):82-114.
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