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Research Article | Open Access |

ELECTRE-Entropy method in Group Decision Support System Modelto Gene Mutation Detection

Author 1: Ermatita Author 2: Sri Hartati Author 3: Retantyo Wardoyo Author 4: Agus Harjoko
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 1, No. 1 · Published 2012 · Cited by 12

DOI: 10.14569/IJARAI.2012.010110

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Abstract

Application of Group Decision Support System (GDSS) can assist for delivering the decision of various opinions (preference) cancer detection based on the preferences of various expertise. In this paper we propose ELECTRE-Entropy for GDSS Modeling. We propose entropy weighting for each criteria under ELECTRE Method.ELECTRE is one method in Multi-Attribute Decision Making (MADM). Modeling of Group Decision Support Sytemapplyfor multi-criteria which the simulation data mutated genes that can cause cancer and solution recommended.

Keywords

component Group decision support system(GDSS) Multi Atributte Decision making(MADM) Electre-entropy preference.

How to Cite this Article

Ermatita, Hartati, S., Wardoyo, R., & Harjoko, A. (2012). ELECTRE-Entropy method in Group Decision Support System Modelto Gene Mutation Detection. International Journal of Advanced Research in Artificial Intelligence, 1(1). https://doi.org/10.14569/IJARAI.2012.010110

Ermatita, et al.. "ELECTRE-Entropy method in Group Decision Support System Modelto Gene Mutation Detection." International Journal of Advanced Research in Artificial Intelligence, vol. 1, no. 1, 2012, https://doi.org/10.14569/IJARAI.2012.010110.

@article{Ermatita2012,
  title     = {ELECTRE-Entropy method in Group Decision Support System Modelto Gene Mutation Detection},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {1},
  number    = {1},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Ermatita and Sri Hartati and Retantyo Wardoyo and Agus Harjoko},
  doi       = {10.14569/IJARAI.2012.010110},
  url       = {https://doi.org/10.14569/IJARAI.2012.010110}
}

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