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Reliability Evaluation of Nephron Algorithm

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2013

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
This Due to resolving supplier selection problem, a different and innovative approach (Nephron algorithm) was proposed. It was to prioritize the suppliers based of their scores as well as their homogeneity with other suppliers. The algorithm was inspired based of nephron performance because of its intelligent screening. It can be applied as data mining technique in order to cluster as well as prioritize data according their attributes and scores respectively. Powerful discriminatory performance of this algorithm was claimed, in previous researches. For indicating power of its system, reliability of NA is evaluated. Therefore, to solve the problem, reliability theory is employed in order to assess the power of NA in discrimination and the large, multinational, and Telecommunication Company as suitable dataset was taken into account.
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REFERENCES

References: 

[1] Behmanesh, R. and Rahimi I., 2012. “Nephron algorithm: a new approach for rank-oriented clustering case study: supplier selection of multinational company”. International Journal of Science and Engineering Investigations, 1(7), pp. 1–5.
[2] Bouhmala,N., 2013. “Multilevel diversification and intensification in metaheuristics”, IEEE Intelligent Systems: Theories and Applications (SITA), 2013 8th International Conference on
[3] Xin-She Yang, Suash Deb, Simon Fong, 2013. “Metaheuristic Algorithms: Optimal Balance of Intensification and Diversification”, Applied Mathematics & Information Sciences.
[4] Momeni, M. (2011). Data clustering. Momeni, pp.174-178.
[5] Wu, Desheng. (2009). Supplier selection: A hybrid model using DEA, decision tree and neural network. Expert Systems with Applications, Vol. 36, pp. 9105–9112.
[6] Momeni, M., Faal Ghayoomi, M., (2010). Statistical analyasis using SPSS. Momeni, p. 174.
[7] Keskin, G. A., Ilhan, S., & Özkan, C. K. (2010). The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection. Expert Systems with Applications, Vol. 37, pp. 1235–1240.

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