Abstract
Information and similarity measures have a vital place in the fuzzy set theory. It has been investigated by many researchers with different aspects. In this paper, new intuitionistic fuzzy similarity and information measures based on sine function are proposed. Comparison of proposed information measures with the existing ones is listed. Numerical results clearly indicate the efficiencies of these measures over others. New technique for multi-criteria decision-making (MCDM) quandaries to rank the alternatives is introduced. This technique is developed on the application intuitionistic fuzzy information measure and weighted averaging operator (IFWAO). A case of five colleges ranking of a district region is studied and discussed.
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