Open Access
MATEC Web Conf.
Volume 154, 2018
The 2nd International Conference on Engineering and Technology for Sustainable Development (ICET4SD 2017)
Article Number 01077
Number of page(s) 4
Section Engineering and Technology
Published online 28 February 2018
  1. B. Ngwenya, Application of Decision Support Systems and Its Impact on Human Resources Output: A Study of Selected Universities in Zimbabwe, Journal of Computer Sciences and Applications, Volume 1, No. 3: 46-54, (2013) [CrossRef] [Google Scholar]
  2. A.R Afshari, M. Nikolic, D. Cockalo, Applications Of Fuzzy Decision Making For Personnel Selection Problem - A Review, Journal Of Engineering Management And Competitiveness, Vol. 4, No. 2, pp. 68-77, (2014) [CrossRef] [Google Scholar]
  3. K. M. Doka, F. Ahmad, S. N. W. Shamsuddin, W. S. W. Awang, N. Ghazali, Integrated Decision Support System for Human Resource Selection Using TOPSIS Based Models, Applied Mathematical Sciences, Vol. 9, No. 129, pp. 6403 – 6414,, (2015) [CrossRef] [Google Scholar]
  4. C.B. Richa, Application Of Decision Support System In Human Resource Management In Mfis-A System Dynamics Approach, International Journal of Business and Economic Research, Vol.14, No. 10, pp. 6849-6862, (2016) [Google Scholar]
  5. A. T. Suseno, Penerapan Metode Fuzzy Mamdani Untuk Sistem Pendukung Keputusan Penerimaan Karyawan PT. Primatexco Indonesia, Program Studi Teknik Informatika Universitas Dian Nuswantoro, Semarang, (2009) [Google Scholar]
  6. R. K. Ablhamid, B. Santoso, M. A. Muslim, Decision Making and Evaluation System for Employee Recruitment Using Fuzzy Analytic Hierarchy Process, International Refereed Journal of Engineering and Science (IRJES), Volume 2, Issue 7: 24-31, (2013) [Google Scholar]
  7. D. A. Ramadhani, S. Astuti, Sistem Pendukung Keputusan Penerimaan Pegawai dengan Metode Fuzzy MADM,, (2014) [Google Scholar]
  8. M. Mammadova, Z. Jabrayilova, Application of Fuzzy Optimization Method in Decision-Making for Personnel Selection, Intelligent Control and Automation, Volume 5: 190-204, (2014) [CrossRef] [Google Scholar]
  9. Jaeeun, Development of Decision Support System for Flood Forecasting and Warning in Urban Stream, Journal of The Korean Society of Civil Engineers, Vol. 28, Issue 6B: 743-750, (2008) [Google Scholar]
  10. S. Kavitha, K. Duraiswamy, An Efficient Decision Support System for Detection of Glaukoma in Fundus Images Using ANFIS, International Journal of Advances in Engineering & Technology., Vol. 2, Issue 1: 227-240, (2012) [Google Scholar]
  11. N. Walia, S. Kumar, H. Singh, A Survey on Applications of Adaptive Neuro Fuzzy Inference System, International Journal of Hybrid Information Technology, Vol.8. No.11: 343-350, (2015) [CrossRef] [Google Scholar]
  12. I. Albidewi, R. Alouhali, An Intelligent Decision Support System Using Adaptive Network-Based Fuzzy Inference System (ANFIS) For Choosing Suitable Bank Loan Installments, IOSR Journal of Computer Engineering (IOSR-JCE), Volume 16, Issue 3: 130-137. [Google Scholar]
  13. A. Pranolo, F. In’ammurrohman, Y. Hendriana, D. Octaviani, A Decision Support System using ANFIS to Determine the Major of Prospective Students in A Vocational School of Indonesia, International Journal of Computer Trends and Technology (IJCTT). Volume 27. Number 2: 100-105, (2015) [CrossRef] [Google Scholar]
  14. JSR. Jang, ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Transactions on System, Man, and Cybernetics, Volume 23: 665-685, (1993) [Google Scholar]
  15. N. Nedjah, L. de Macedo Mourelle, Fuzzy Systems Engineering: Theory and Practice, Studies in Fuzziness and Soft Computing, Vol. 181: 53–83. [Google Scholar]
  16. P. Tahmasebi, A Hybrid Neural Networks-Fuzzy Logic-Genetic Algorithm For Grade Estimation, Computers & Geosciences. 42: 18–27, (2012) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.