Pengambilan Keputusan Multi Hesitant N-Soft Sets

  • Fatia Fatimah Universitas Terbuka
Keywords: decision making, soft sets, N-soft sets, , N-soft sets, hesitant N-soft sets, webinar tutorial

Abstract

In this article, we introduce a new hybrid model of -soft sets called multi hesitant -soft sets (MHNSS). The multi hesitant -soft sets is extention of -soft sets theory which is needed for multicriteria from some group decision makers. We propose the decision making algorithm of  MHNSS dan apply it with real life data of distance education especially online learning using webinar tutorial. The population are tutors of Universitas Terbuka Padang that using webinar tutorial between April until May 2020. We use random sampling and spread questionnaires online to collect the data. As a result, by using the MHNSS algorithm, we conclude that webinar tutorial is effective for conceptual subjects.

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References

Andriyansah and Fatimah, F., 2020, Developing the concept of e-customer relationship management model to improve marketing performance, The 4th International Conference on E-commerce, E-Business and E-Government, pp. 22-26.

Pawlak, Z., 2005, Some remarks on conflict analysis, European Journal of Operational Research, 166(3), pp. 649-654.

Molodtsov, D., 1999, Soft set theory-first results, Computers and Mathematics with Applications, 37 (4-5), pp. 19-31.

Roy, A.R., and Maji, P.K., 2007, A fuzzy soft set theoretic approach to decision making problems, Journal of Computational and Applied Mathematics, 203(2), pp. 412-418.

Ali, M.I., Feng, F., Liu, X., Min, W.K., and Shabir, M., 2009, On some new operations in soft set theory, Computers & Mathematics with Applications, 57(9), pp. 1547-1553.

Ali, M.I., Mahmood, T., Muti Ur Rehman, M, and Aslam, M.F., 2015, On lattice ordered soft sets, Applied Soft Computing, 36, pp. 499-505.

Fatimah, F., Rosadi, D., Hakim, R.B.F., and Alcantud, J.C.R., 2017, Probabilistic soft sets and dual probabilistic soft sets in decision-making, Neural Computing and Applications, 31(S1), pp. 397-407.

Fatimah, F., Rosadi, D., and Hakim, R.B.F., 2018, Probabilistic soft sets and dual probabilistic soft sets in decision making with positive and negative parameters, Journal of Physics: Conference Series, 983 (1), 012112

Peng, X., and Yang, Y., 2015. Interval-valued Hesitant Fuzzy Soft Sets and their Application in Decision Making, Fundamenta Informaticae, 141(1), pp. 71-93.

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, pp. 415-430.

Fatimah, F., and Alcantud, J. C. R., 2018, Expanded Dual Hesitant Fuzzy Sets, IEEE International Conference on Intelligent Systems (IS), pp. 102-108

Fatimah, F., Rosadi, D., Hakim, R.B.F., and Alcantud, J.C.R., 2017, N-soft sets and their decision making algorithms, Soft Computing, 22(12), pp. 3829-3842.

Fatimah, F., 2018, Pengambilan keputusan incomplete N-Soft Sets pada data untuk mengukur indikator sustainable development goals. Book Chapter: Seminar Nasional FMIPA Universitas Terbuka, pp. 209-228.

Fatimah, F., and Andriyansah, 2020, Analisis fasilitas pariwisata menggunakan prosedur pengambilan keputusan NSS. Jurnal Rekayasa Sistem dan Teknologi Informasi, 4(1), pp. 135-141.

Akram, M., et al., 2020, Parameter reductions in N‐soft sets and their applications in decision‐making. Expert Systems, pp. 1-15.

Akram, M., Adeel, A., and Alcantud, J.C.R., 2018, Fuzzy N-soft sets: A novel model with applications, Journal of Intelligent & Fuzzy Systems, 35(4), pp. 4757-4771.

Akram, M., Adeel, A., and Alcantud, J.C.R., 2019, Group decision-making methods based on hesitant N-soft sets, Expert Systems with Applications, 115, pp. 95-105.

Akram, M., Adeel, A., and Alcantud, J.C.R., 2019, Hesitant fuzzy N-soft sets: A new model with applications in decision-making, Journal of Intelligent & Fuzzy Systems, 36(6), pp. 6113-6127.

Akram, M., and Adeel, A., 2018, TOPSIS Approach for MAGDM Based on Interval-Valued Hesitant Fuzzy N-Soft Environment, International Journal of Fuzzy Systems, 21(3), pp. 993-1009.

Alcantud, J.C.R., Feng, F., and Yager, R.R., 2019, An N-Soft Set Approach to Rough Sets, IEEE Transactions on Fuzzy Systems, pp. 1-13.

Published
2020-12-25
How to Cite
Fatia Fatimah. (2020). Pengambilan Keputusan Multi Hesitant N-Soft Sets . Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 4(6), 1110 -. https://doi.org/10.29207/resti.v4i6.2662
Section
Artikel Rekayasa Sistem Informasi