A two-sided matching method for probabilistic uncertain linguistic term sets based on priority functions
For a two-sided matching problem with probabilistic uncertain language evaluation,a two-sided matching method based on the priority function is proposed,considering the psychological behavioral characteristics of the convergence of bilateral subjects.Firstly,the interval type score of the probabilistic uncertain language term set is defined;secondly,a priority function is constructed to describe the psychological behaviour of a two-sided matching subjects in combination with the likelihood degree;a distance measure is defined;and then a satisfaction matrix is obtained,based on which a matching optimisation model is constructed and solved with the objective of maximising the comprehensive satisfaction of a two-sided matching subjects.Finally,the practicality and effectiveness of the method are illustrated by comparing the software supplier-demander matching example with existing a two-sided matching methods.
two-sided matchingglossary of probabilistic uncertain language termsinterval type scorepriority functiondistance measurement
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