On Solving Bi-objective Interval Valued Neutrosophic Assignment Problem
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The assignment problem (AP) is a well-researched combinatorial optimization problem in
which the overall assignment cost or time is minimized by assigning multiple items (tasks) to several
entities (workers). Today's optimization challenges cannot be adequately addressed by a
single-objective AP, hence the bi-objective AP (BOAP) is taken into consideration. This problem
frequently occurs in practical applications with ambiguous parameters in real life. Henceforth, in
this article the uncertain parameters are presented as interval valued neutrosophic numbers. In the
present study, we formulate bi-objectives assignment problem (BOAP) having cost and time
parameters as an interval valued neutrosophic numbers. We proposed interactive left-width method
to solve the interval valued neutrosophic BOAP (IVNBOAP). In this method interval valued
neutrosophic numbers is reduced to interval numbers using score function. Then, the bi-objective
interval assignment problem (BOIAP) is reduced to a deterministic BOAP using the left-width
attributes on each objective function. The reduced deterministic objective function is separated and
constructed as a multi-objective AP. In the solution procedure, the global weighted sum method is
adopted to convert the multi-objective AP into a single objective problem (SOP) and solved using
Lingo 18.0 software. Finally, numerical examples are illustrated to clarify the steps involved in the
proposed method and results are compared with the other existing methods.
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