【文章內(nèi)容簡介】 ing. Keywords: Fuzzy integrative evaluation。 Battle effectiveness。 Index system**********************************************************************************現(xiàn)代質(zhì)量管理理論在保障分隊訓練管理中的應用鮑毓楠，趙武奎，宋輝，楊超（軍械工程學院 裝備指揮與管理系，河北 石家莊 050003）摘要：實施以質(zhì)量為核心的目標管理是現(xiàn)代管理的主要特征。通用裝備保障分隊訓練作為保障作戰(zhàn)部隊實現(xiàn)作戰(zhàn)力量再生的重要實踐活動，更加需要講質(zhì)量。運用現(xiàn)代質(zhì)量管理方法對保障分隊訓練實施管理，對提高通用裝備保障分隊的保障能力具有積極的作用，是提高通用裝備保障分隊訓練質(zhì)量的可靠方法保證。關鍵詞：PDCA循環(huán)；訓練質(zhì)量管理；目標管理Application of Modern Quality Management Theories in Training Management of Equipment Supporting TeamBAO Yunan, ZHAO Wukui, SONG Hui, YANG Chao(Dept. of Equipment Command amp。 Management Engineering, Ordnance Engineering College, Shijiazhuang 050003, China)Abstract: The main characteristic of modern management is carrying out the target management, which takes quality as its core. As the training of general use equipment supporting team bees important practices to carry out battle strength rebirth, its quality is more important. Adopt modern quality management theories in training management of equipment supporting team can positively enhance the support abilities of the general use equipment supporting team, also it is the guarantee of the dependable methods that can improve the team’s training quality. Keywords: PDCA circle。 Training quality management。 Target management**********************************************************************************灰色關聯(lián)分析在判斷空襲目標威脅中的應用盧蛟1，王瑞然2，韓弈彬3，吳超4（1. 防空兵指揮學院 研究生16隊，河南 鄭州 450052；2. 防空兵指揮學院 研究生17隊，河南 鄭州 450052；3. 71315部隊 司令部，河南 商丘 476000；4. 黑龍江陸軍預備役高炮師，黑龍江 大慶 163314）摘要：在判斷多批次空襲目標的威脅度大小時，很多指標數(shù)據(jù)都具有一定的灰度，因此用灰色系統(tǒng)理論中的關聯(lián)分析法處理：求出各批次威脅度指標相對最大威脅度參考序列的灰色關聯(lián)系數(shù)，再根據(jù)各指標構成威脅的權重，求出各批次空襲目標的線性加權關聯(lián)度，從而對多批次威脅度進行排序，為火力分配提供依據(jù)。關鍵詞：灰色關聯(lián)；空襲目標；威脅度Gray Related Analysis in Accessing Danger of AirRaid TargetsLU Jiao1, WANG Ruiran2, HAN Yibin3, WU Chao4(1. No. 16 Brigade of Graduate, Air Defense Command College, Zhengzhou 450052, China。2. No. 17 Brigade of Graduate, Air Defense Command College, Zhengzhou 450052, China。3. Headquarters, No. 71315 Unit of PLA, Shangqiu 476000, China。4. Heilongjiang Military Reverse Air Defense Artillery Division, Daqing 163314, China)Abstract: For many index data may have gray levels when estimate batches of airraid targets’ danger degrees, use related analysis of gray system theory to get the gray related coefficients, which are involved in reference sequence of the top danger degree related to each batch of danger degree index, then based on weights of each index in danger, seek linearity weighted and related coefficient of airraid target in each batch, thus arrange the sequence about batches of targets’ danger degrees, to provide basis to fire distribution. Keywords: Gray relate。 Airraid target。 Danger degree**********************************************************************************對潛指揮信息保障系統(tǒng)指標體系的基本框架魏成昊1，宋裕農(nóng)2（1. 海軍潛艇學院 12隊，山東 青島 266071；2. 海軍潛艇學院 作戰(zhàn)指揮系，山東 青島 266071）摘要：對潛指揮信息保障系統(tǒng)評估指標體系，分為評估目標、一級指標、二級指標和底層指標四個層次，其中一級指標包括信息獲取能力指標、信息傳遞能力指標、信息處理能力指標三部分。該體系的構建通過選擇參評指標、劃分體系層次、標準化指標數(shù)據(jù)、確定指標權重，以及構建測評指標體系模型等步驟得以實現(xiàn)。關鍵詞：對潛指揮；信息保障；指標體系Index System Frame of Information Support in Commanding SubmarineWEI Chenghao1, SONG Yunong2(1. No. 12 Brigade of Graduate, Submarine Academy of PLA Navy, Qingdao 266071, China。2. Dept. of Command and operation, Submarine Academy of PLA Navy, Qingdao 266071, China)Abstract: The index system, evaluating mand information support to submarines, could be separate into four layers, evaluating target, first layer, second layer and bottom layer. The first layer indexes include information acquisition index, information transfer index and information processing index. The constructing step consists of choosing index, dividing the layers, standardizing data, ascertaining the weights and setting up index system frame.Keywords: Commanding submarine。 Information support。 Index system**********************************************************************************一種基于平均相對偏差的聚類算法聶舟1，程遠國1,2（1. 海軍工程大學 電子工程學院，湖北 武漢 430033。 2. 華中科技大學 計算機科學與技術學院，湖北 武漢 430074）摘要：在kmeans算法基礎上，提出利用平均相對偏差對數(shù)據(jù)的維分布密集度進行度量，并根據(jù)空間分布的密集度動態(tài)地給屬性賦予權值。在計算平均相對偏差時，度量值與平均值之間的偏差沒有被平方，在一定程度上降低了孤立點的影響，與標準差相比具有更強的魯棒性。仿真結果表明，基于平均相對偏差的聚類算法提高了聚類的質(zhì)量。關鍵詞：聚類；kmeans；平均相對偏差Clustering Algorithm Based on Mean Relative DeviationNIE Zhou1, CHENG Yuanguo1,2(1. College of Electronic Engineering, Naval Univ. of Engineering, Wuhan 430033, China。2. College of Computer, Huazhong University of Science and Technology, Wuhan 430074, China)Abstract: Based on the kmeans algorithm, mean relative deviation is presented to measure the degree of denseness, and dynamic weights of variables are associated with it. Because deviation between data and average is not squared, the effect of isolated data is reduced, and it’s more robustness than standard deviation. The simulation results show the mean relative deviation based algorithm could improve the quality of clustering. Keywords: Clustering。 kmeans。 Mean relative deviation**********************************************************************************網(wǎng)絡與信息技術 基于免疫原理的軍事網(wǎng)絡入侵檢測模型劉駿，丁曉輝（后勤指揮學院 研究生隊，北京 100858）摘要：針對現(xiàn)有軍事網(wǎng)絡入侵檢測方面防護手段單一、檢測效果較差的問題，將人工免疫原理與網(wǎng)絡入侵檢測相結合，建立一種反饋式網(wǎng)絡入侵檢測系統(tǒng)模型。該模型由事件產(chǎn)生器、活動記錄器和規(guī)則集組成，在服務器與客戶端之間建立反饋機制，具有自適應性、可擴展性和輕負荷的特點，能較好地解決軍事網(wǎng)絡入侵檢測系統(tǒng)自適應差、誤報率高等問題。關鍵詞：軍事網(wǎng)絡；入侵檢測；免疫原理；反饋；負向選擇Military Network Invasion Detection Model Based on Immune PrincipleLIU Jun, DING Xiaohui(Brigade of Graduate, Logistic Command College, Beijing 100858, China)Abstract: Analyze problems like simplex defense method and inferior detection effect in military network invasion detection. Through bine artificial immune principle with network invasion, establish a feedback network invasion detection system model. The model consists of event generator, action recorder, regulations. It also establishes a feedback mechanism between server and customer. The model has characteristics of selfadaptability, expansibility and lightcharge. It can resolve prob