Fuzzy Optimization and Decision Making

, Volume 12, Issue 2, pp 215–229 | Cite as

Intuitionistic fuzzy linear regression analysis

  • R. Parvathi
  • C. Malathi
  • M. Akram
  • Krassimir T. Atanassov


Linear regression analysis in an intuitionistic fuzzy environment using intuitionistic fuzzy linear models with symmetric triangular intuitionistic fuzzy number (STriIFN) coefficients is introduced. The goal of this regression is to find the coefficients of a proposed model for all given input–output data sets. The coefficients of an intuitionistic fuzzy regression (IFR) model are found by solving a linear programming problem (LPP). The objective function of the LPP is to minimize the total fuzziness of the IFR model which is related to the width of IF coefficients. An illustrative example is also presented to depict the solution procedure of the IFR problem by using STriIFNs.


Linear programming Decision analysis Uncertainty modelling Fuzzy sets Intuitionistic fuzzy regression analysis Symmetric triangular intuitionistic fuzzy numbers 


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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • R. Parvathi
    • 1
  • C. Malathi
    • 2
  • M. Akram
    • 3
  • Krassimir T. Atanassov
    • 4
  1. 1.Department of MathematicsVellalar College for WomenErodeIndia
  2. 2.Department of MathematicsGobi Arts and Science CollegeGobiIndia
  3. 3.Punjab University College of Information TechnologyUniversity of the PunjabLahorePakistan
  4. 4.Institute of Biophysics and Biomedical EngineeringBulgarian Academy of SciencesSofiaBulgaria

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