軍事院校整併策略之研究

A Study on Merging Strategies of Military Academy

國防部在面對國防預算占中央政府總預算比例削減與國防人力資源減少壓力下，迫切需要一個最佳的軍事院校整併策略，協助分配其獲得有限的國防資源；然而，軍事院校整併是一個多準則決策的問題，亦即必須衡量複雜關係之多項準則，故須採用能完全考慮多項準則之間交互作用的多準則研究方法。而分析網路程序法就是一個相對於其他較新，且能有效瞭解複雜準則間交互作用的多準則決策方法；決策實驗室分析法則是能轉換準則間因果關係為易於瞭解的結構模型，同時亦可以做為處理各準則間有內部相依關係的決策方法。因此，本文結合分析網路程序法和決策實驗室分析法建構有效遴選模式，來協助國防部取得軍事院校最佳整併策略，進而改善軍事資源的有效運用。

Facing a reduction in the proportion of the defense budget in the total central government budget and a decrease in national defense manpower， the Ministry National Defense (MND) urgently requires an optimal merging strategy of military academy to allocate its scarce defense resources. However， the merging strategy of military academy is a multiple criteria decision-making (MCDM) problem， which requires the consideration of a large number of complex criteria. A robust MCDM method should consider the interactions among these criteria. The analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. The Decision Making Trial and Evaluation Laboratory (DEMATEL) not only can convert the relations between cause and effect of criteria into a structural model， but also can be used as a way to handle the inner dependences within a set of criteria. Hence， this paper applies an effective solution based on a combined ANP and DEMATEL method to assist the MND to determine the optimal merging strategy of military academy for improving the effective utilization of military resource.