本論文以整體系統的觀點研究多機協同空戰問題，避免將多機空戰認為是單機空戰的簡單數量上的相加所帶來的不足。整個理論的架構是以雙機對抗模擬為依據，應用協商策略理論，進而擴展到多機對抗模擬系統。
　　最佳的追逐/逃逸策略係利用遊戲理論，參酌飛行員的實際空戰經驗及策略，定義足以反應空戰局勢的計分函數，包含方位、距離、速度及高度分數的計分；為了適應不同之作戰需求，總分模式決定最適切之計分權重；飛行決策，係以飛機能做的最大極限動作為考量；為了提高計算效率，提供三種計分時間方式的計分時間模式。而勝負及攻擊得分則由勝負模式裁判與計算。本論文的結果，已成功利用”大規模空戰轉化為小規模空戰原則”以及”Utilitarian解”將多機空戰系統於matlab中模擬實現，並通過模擬驗證該思路下研究多機協同空戰的有效性。

　　In this thesis ,we consider multiple air-combat as a whole system. Decision information fusion will be introduced in the air-combat model to overcome the shortage of traditional ideals. This thesis combines the decision and game theory with the practice situation of multiple air-combat to form a simulation model with adjustable weights reflecting different combat scenarios. We combine with new thought of using consulting theory in multiple air to cope with the complex situation during multiple air combat.
　　The optimal strategy of pursuit-evasion game defines four　Kinds of scoring functions according to actual air combat experience and maneuver. The scoring function is composed of contributions consisting of an orientation score, a relative　range score, a velocity score and ａterrain score. In maneuver -selection mode we will compute the entire scoring matrix and select the maneuver corresponding to the max-min score. In order to promote computing efficiency, we use three different scoring time modes. We use the Game theory and Utilitarian solution to solve 2 versus 2 multiple air-combat problem and prove that it can work in 10 versus 10 multiple air-combat simulation. The result reveals that the developed theory can get better result than the traditional ideals.

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