چکیده
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Indeterminacy is an intrinsic characteristic of real-world data. Where they originate from credible
experiments, probability theory is a robust tool to manipulate this type of indeterminacy. However, this is
not always the case, and referring to the domain expert belief is an alternative approach. Baoding Liu
initiated an axiomatic basis of uncertainty theory to answer this kind of indeterminacy.
Minimum weighted maximal matching has wide range of applications in many fields. In this paper, we
investigate this problem with indeterministic weights and obtain an equivalent deterministic integer
programming model.
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