A New Method for Decision Making Problems with Redundant and Incomplete Information Based on Incomplete Soft Sets: From Crisp to Fuzzy

Alcantud, J.C.R., Feng, F. and Yager, R.R. (2020). An n-soft set approach to rough sets, IEEE Transactions on Fuzzy Systems 28(11): 2996–3007.10.1109/TFUZZ.2019.2946526 Search in Google Scholar

Ali, M., Kilicman, A. and Khameneh, A.Z. (2020). Separation axioms of interval-valued fuzzy soft topology via quasi-neighborhood structure, Mathematics 8(2), Article no. 178. Search in Google Scholar

Cagman, N. and Karatas, S. (2013). Intuitionistic fuzzy soft set theory and its decision making, Journal of Intelligent & Fuzzy Systems 24(4): 829–836.10.3233/IFS-2012-0601 Search in Google Scholar

de Andres, J., Landajo, M. and Lorca, P. (2012). Bankruptcy prediction models based on multinorm analysis: An alternative to accounting ratios, Knowledge-Based Systems 30: 67–77.10.1016/j.knosys.2011.11.005 Search in Google Scholar

Deng, T. and Wang, X. (2013). An object-parameter approach to predicting unknown data in incomplete fuzzy soft sets, Applied Mathematical Modelling 37(6): 4139–4146.10.1016/j.apm.2012.09.010 Search in Google Scholar

Feng, F., Xu, Z., Fujita, H. and Liang, M. (2020). Enhancing PROMETHEE method with intuitionistic fuzzy soft sets, International Journal of Intelligent Systems 35(7): 1071–1104.10.1002/int.22235 Search in Google Scholar

Garg, H. and Arora, R. (2018). Bonferroni mean aggregation operators under intuitionistic fuzzy soft set environment and their applications to decision-making, Journal of the Operational Research Society 69(11): 1711–1724.10.1080/01605682.2017.1409159 Search in Google Scholar

Gau, W.L. and Buehrer, D.J. (1993). Vague sets, IEEE Transactions on Systems, Man and Cybernetics 23(2): 610–614.10.1109/21.229476 Search in Google Scholar

Hussain, A., Ali, M.I., Mahmood, T. and Munir, M. (2020). q-Rung orthopair fuzzy soft average aggregation operators and their application in multicriteria decision-making, International Journal of Intelligent Systems 35(4): 571–599.10.1002/int.22217 Search in Google Scholar

Li, M.-Y., Fan, Z.-P. and You, T.-H. (2018). Screening alternatives considering different evaluation index sets: A method based on soft set theory, Applied Soft Computing 64: 614–626.10.1016/j.asoc.2017.12.037 Search in Google Scholar

Li, Z., Wen, G. and Xie, N. (2015). 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(3): 161–71.10.1016/j.artmed.2015.05.00226033298 Search in Google Scholar

Liu, B. (2007). Uncertainty Theory, Springer, Berlin. Search in Google Scholar

Liu, Y., Qin, K., Rao, C. and Alhaji Mahamadu, M. (2017). Object-parameter approaches to predicting unknown data in an incomplete fuzzy soft set, International Journal of Applied Mathematics and Computer Science 27(1): 157–167, DOI: 10.1515/amcs-2017-0011. Ouvrir le DOISearch in Google Scholar

Maji, P.K. and Roy, A.R. (2002). An application of soft sets in a decision making problem, Computers & Mathematics with Applications 44(8–9): 1077–1083.10.1016/S0898-1221(02)00216-X Search in Google Scholar

Molodtsov, D. (1999). Soft set theory—First results, Computers & Mathematics with Applications 37(4–5): 19–31.10.1016/S0898-1221(99)00056-5 Search in Google Scholar

Pawlak, Z. (1984). Rough classification, International Journal of Man-Machine Studies 20(5): 469–483.10.1016/S0020-7373(84)80022-X Search in Google Scholar

Pawlak, Z. (1985). Rough sets and decision tables, in A. Skowron (Ed), Computation Theory: SCT 1984, Lecture Notes in Computer Science, Vol. 208, Springer, Berlin, pp. 187–196.10.1007/3-540-16066-3_18 Search in Google Scholar

Peng, X. and Yang, Y. (2017). Algorithms for interval-valued fuzzy soft sets in stochastic multi-criteria decision making based on regret theory and prospect theory with combined weight, Applied Soft Computing 54: 415–430.10.1016/j.asoc.2016.06.036 Search in Google Scholar

Qayyum, A. and Shaheen, T. (2020). Graded soft expert set as a generalization of hesitant fuzzy set, Journal of Intelligent Systems 29(1): 223–236.10.1515/jisys-2016-0312 Search in Google Scholar

Xia, S., Yang, H. and Chen, L. (2021). An incomplete soft set and its application in MCDM problems with redundant and incomplete information, International Journal of Applied Mathematics and Computer Science 31(3): 417–430, DOI: 10.34768/amcs-2021-0028. Ouvrir le DOISearch in Google Scholar

Xiao, Z., Chen, W.J. and Li, L.L. (2013). A method based on interval-valued fuzzy soft set for multi-attribute group decision-making problems under uncertain environment, Knowledge and Information Systems 34(3): 653–669.10.1007/s10115-012-0496-7 Search in Google Scholar

Xiao, Z., Xia, S.S., Gong, K. and Li, D. (2012). The trapezoidal fuzzy soft set and its application in MCDM, Applied Mathematical Modelling 36(12): 5844–5855.10.1016/j.apm.2012.01.036 Search in Google Scholar

Xu, W., Pan, Y., Chen, W. and Fu, H. (2019). Forecasting corporate failure in the Chinese energy sector: A novel integrated model of deep learning and support vector machine, Energies 12(12), Article no. 2251. Search in Google Scholar

Xu, W., Xiao, Z., Dang, X., Yang, D. and Yang, X. (2014). Financial ratio selection for business failure prediction using soft set theory, Knowledge-Based Systems 63: 59–67.10.1016/j.knosys.2014.03.007 Search in Google Scholar

Yang, J. and Yao, Y. (2020). Semantics of soft sets and three-way decision with soft sets, Knowledge-Based Systems 194, Article no. 105538. Search in Google Scholar

Yang, Y., Tan, X. and Meng, C.C. (2013). The multi-fuzzy soft set and its application in decision making, Applied Mathematical Modelling 37(7): 4915–4923.10.1016/j.apm.2012.10.015 Search in Google Scholar

Zadeh, L.A. (1965). Fuzzy sets, Information and Control 8(3): 338–353.10.1016/S0019-9958(65)90241-X Search in Google Scholar

Zhang, Z.M. (2012). A rough set approach to intuitionistic fuzzy soft set based decision making, Applied Mathematical Modelling 36(10): 4605–4633.10.1016/j.apm.2011.11.071 Search in Google Scholar

Zhang, Z.M. and Zhang, S.H. (2013). A novel approach to multi attribute group decision making based on trapezoidal interval type-2 fuzzy soft sets, Applied Mathematical Modelling 37(7): 4948–4971.10.1016/j.apm.2012.10.006 Search in Google Scholar

Zou, Y. and Xiao, Z. (2008). Data analysis approaches of soft sets under incomplete information, Knowledge-Based Systems 21(8): 941–945.10.1016/j.knosys.2008.04.004 Search in Google Scholar

• A Genetic Algorithm Based Optimized Convolutional Neural Network for Face Recognition
• Efficient Face Detection Based Crowd Density Estimation using Convolutional Neural Networks and an Improved Sliding Window Strategy
• Hospitalization Patient Forecasting Based on Multi–Task Deep Learning
• Lightweight Compression with Encryption Based on Asymmetric Numeral Systems
• Infrared Small–Target Detection Under a Complex Background Based on a Local Gradient Contrast Method
• Generation of Synchronizing State Machines from a Transition System: A Region–Based Approach
• A Contemporarymulti–Objective Feature Selection Model for Depression Detection Using a Hybrid pBGSK Optimization Algorithm
• FSPL: A Meta–Learning Approach for a Filter and Embedded Feature Selection Pipeline
• On the Finite Time Stabilization Via Robust Control for Uncertain Disturbed Systems
• Implications of the Arithmetic Ratio of Prime Numbers for RSA Security
• Fractional Time–Invariant Compartmental Linear Systems
• Decentralized Static Output Feedback Controller Design for Linear Interconnected Systems