An intuitionistic fuzzy information measure of order-\((\alpha , \beta )\) with a new approach in supplier selection problems using an extended VIKOR method

  • Rajesh JoshiEmail author
  • Satish Kumar
Original Research


In this communication, a new two parametric fuzzy information measure of order-\((\alpha , \beta )\) is proposed in the settings of intuitionistic fuzzy set theory. Besides the validation of proposed measure, some of its major properties are also studied. Attributes weights play an important role in the solution of a MADM problem. Two methods of determining the attributes weights are discussed. Considering the importance of subjective and objective weights, a new multiple attribute decision-making (MADM) method based on the concept of VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR) is introduced. The proposed MADM method is suitably explained with the help of two illustrative examples.


IF entropy of order-\( (\alpha , \beta ) \) Intuitionistic fuzzy entropy Multi-attribute decision making (MADM) VIKOR 

Mathematics Subject Classification

94A15 94A24 26D15 



The authors are thankful to anonymous reviewers for their precious suggestions to improve this manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.


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Copyright information

© Korean Society for Computational and Applied Mathematics 2018

Authors and Affiliations

  1. 1.Department of MathematicsMaharishi Markandeshwar UniversityMullana-AmbalaIndia

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