Intuitionistic
Fuzzy Set (IFS) can be used as a general tool for modeling problems of decision
making under uncertainty where, the degree of rejection is defined
simultaneously with the degree of acceptance of a piece of information in such
a way that these degrees are not complement to each other. Accordingly, an
attempt is made to solve intuitionistic fuzzy linear programming problems using
a technique based on an earlier technique proposed by Zimmermann to solve fuzzy
linear programming problem. Our proposed technique does not require the
existing ranking of intuitionistic fuzzy numbers. This method is also different
from the existing weight assignment method or the Angelov’s method. A
comparative study is undertaken and interesting results have been presented.
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