Abstract
Logistics support capability (LSC) plays an important role in troop’s combat effectiveness, therefore the evaluation on LSC is the key supporting means for its improvement. This paper compared several models and their applications in the LSC evaluation area, including the fuzzy comprehensive evaluation model, grey evaluation model, network DEA (Data Envelopment Analysis) model, evaluation models based on belief rule-base (BRB) as well as evaluation models based on D-S evidence theory. Among these models, fuzzy comprehensive evaluation model can quantify some factors with unclear border or hard to quantify; grey evaluation model is suitable for the uncertain system; network DEA model effectively deals with multiple inputs and outputs on the same kind of decision-making units (DMUs); evaluation model based on BRB handle effectively the information uncertainty and evaluation index types diversity; evaluation model based on D-S evidence theory could effectively analyze the consistency of evaluation index and increase the discrimination of the evaluation. However, these evaluations mainly focus on the theoretical research and hardly can be applied in reality. In this paper, the suggestions about attention to the purpose of LSC evaluation, application of new information technology, and evaluation practicality were proposed in order to improve LCS evaluation.
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