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Applying FARSJUM intelligent system to derive priorities in sparse hierarchical problems

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Abstract

The analytic hierarchy process (AHP) is a decision analysis technique used to evaluate complex multi-criteria alternatives. In this paper, the fuzzy rule based system (FARSJUM) is introduced for especially sparse hierarchical problems to make decisions similar to AHP. The system is previously developed by the authors in sparse judgment matrices and in this paper an enhancement of the system in sparse hierarchical problems is brought. Numerical example is brought to show the applicability of the method and its advantages.

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Authors and Affiliations

  1. School of Industrial Engineering, Iran University of Science and Technology, Narmak, 16844, Tehran, Iran

    M. R. Gholamian & M. Ghazanfari

  2. Department of Industrial Engineering, Amirkabir University of Technology, 424 Hafez Avenue, Tehran, Iran

    S. M. T. Fatemi Ghomi

Authors
  1. M. R. Gholamian
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  2. S. M. T. Fatemi Ghomi
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  3. M. Ghazanfari
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Corresponding author

Correspondence to M. R. Gholamian.

Additional information

Communicated by G. Acampora.

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Gholamian, M.R., Fatemi Ghomi, S.M.T. & Ghazanfari, M. Applying FARSJUM intelligent system to derive priorities in sparse hierarchical problems. Soft Comput 18, 299–311 (2014). https://doi.org/10.1007/s00500-013-1058-y

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