基于QFD和组合赋权TOPSIS的体系贡献率能效评估
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摘要
武器装备体系贡献率是指单件装备在武器装备体系或作战体系构成中,按照体系的总目标和运行规律,对体系的整体性能(如体系作战能力或作战效能)贡献的大小。首先建立能力-效能综合的贡献率评估框架,在此框架下提出层次化的体系贡献率评估思路。然后借助面向关系的质量功能展开量化矩阵方法,将仿真实验中能力/效能度量指标数据映射到需求-度量矩阵,再以度量集对需求集的敏感度和拟合优度作为依据,构建度量指标的组合权重。最后,利用逼近理想解排序法对体系方案贡献度进行排序,并以无人集群执行火力打击任务作为算例,验证了该方法的可行性。
The contribution ratio to system-of-systems(CRSoS)of weapon equipment refers to the measurement of a single equipment contribution to the overall performance(such as capability or effectiveness)of system-of-systems(SoS),consistenting with the overall goal and rules of the SoS in a weapon equipment SoS or operation SoS.Firstly,a synthesized capability-effectiveness evaluation framework is proposed and a hierarchical evaluation methods of CRSoS is given based on the framework.Secondly,capacity/efficiency data of the simulation experiments is filled to requirements-metrics matrix by a relational-oriented systems engineering method using quantitative quality function deployment matrix.Thirdly,a combination weights vector according to the sensitivity and fitness of the measurement on demand is proposed.Finally,technique for order preference by similarity to ideal solution is introduced to rank the SoS solutions.A joint fire mission using an unmanned swarm is introduced to illustrate the feasibility of this approach.
The contribution ratio to system-of-systems(CRSoS)of weapon equipment refers to the measurement of a single equipment contribution to the overall performance(such as capability or effectiveness)of system-of-systems(SoS),consistenting with the overall goal and rules of the SoS in a weapon equipment SoS or operation SoS.Firstly,a synthesized capability-effectiveness evaluation framework is proposed and a hierarchical evaluation methods of CRSoS is given based on the framework.Secondly,capacity/efficiency data of the simulation experiments is filled to requirements-metrics matrix by a relational-oriented systems engineering method using quantitative quality function deployment matrix.Thirdly,a combination weights vector according to the sensitivity and fitness of the measurement on demand is proposed.Finally,technique for order preference by similarity to ideal solution is introduced to rank the SoS solutions.A joint fire mission using an unmanned swarm is introduced to illustrate the feasibility of this approach.
引文
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[2]HAUSE M C.SOS for SoS:a new paradigm for system of systems modeling[C]∥Proc.of the IEEE Aerospace Conference,2014.
[3]BEACH T,DRYER D,SANCHEZ S,et al.Team 6:application of design of experiments&data farming techniques for planning tests in a joint mission environment[J].From Scythe Proceedings&Bulletin of the International Data Farming Community Issue Workshop,2009.
[4]HOLT J,PERRY S,BROWNSWORD M,et al.Model-based requirements engineering for system of systems[C]∥Proc.of the International Conference on System of Systems Engineering,2013.
[5]HOLT J,PERRY S,PAYNE R,et al.A model-based approach for requirements engineering for systems of systems[J].IEEESystems Journal,2015,9(1):252-262.
[6]DEITZ P H,BRAY B E,MICHAELIS J R.The missions and means framework as an ontology[C]∥Proc.of the SPIE,Ground/Air Multisensor Interoperability,Integration,and Networking for Persistent ISR VII,2016.
[7]罗小明,杨娟,何榕.基于任务-能力-结构-演化的武器装备体系贡献度评估与示例分析[J].装备学院学报,2016,27(3):7-13.LUO X M,YANG J,HE R.Research and demonstration on contribution evaluation of weapon equipment system based on task-capability-structare-evolution[J].Journal of Equipment Academy,2016,27(3):7-13.
[8]陈小卫,谢茂林,张军奇.新型装备对作战体系的贡献机理[J].装备学院学报,2016,27(6):26-30.CHEN X W,XIE M L,ZHANG J Q.Analysis on the contribution mechanism of new equipment system to the warfighting system[J].Journal of Equipment Academy,2016,27(6):26-30.
[9]管清波,于小红.新型武器装备体系贡献度评估问题探析[J].装备学院学报,2015,26(3):1-5.GUAN Q B,YU X H.Research on evaluation of equipment’s contribution to system warfighting[J].Journal of Equipment Academy,2015,26(3):1-5.
[10]王飞,司光亚.武器装备体系能力贡献度的解析与度量方法[J].军事运筹与系统工程,2016,30(3):10-15.WANG F,SI G Y.Analysis and measurement method of weapon equipment system capability contribution degree[J].Military Operations Research and Systems Engineering,2016,30(3):10-15.
[11]胡晓峰,张昱,李仁见,等.网络化体系能力评估问题[J].系统工程理论与实践,2015,35(5):1317-1323.HU X F,ZHANG Y,LI R J,et al.Capability evaluating problem of networking SoS[J].Systems Engineering-Theory&Practice,2015,35(5):1317-1323.
[12]胡晓峰,杨镜宇,张昱.武器装备体系评估理论与方法的探索与实践[J].宇航总体技术,2018,2(1):1-11.HU X F,YANG J Y,ZHANG Y.Exploration and practice to the theory and method of evaluating weapon system of systems[J].Astronautical Systems Engineering Technology,2018,2(1):1-11.
[13]MORGAN V L,BASSEL A K,ROGERS B P.Evolution of functional connectivity of brain networks and their dynamic interaction in temporal lobe epilepsy[J].Brain Connect,2015,5(1):35-44.
[14]THOMPSON W H,BRANTEFORS P,FRANSSON P.From static to temporal network theory:Applications to functional brain connectivity[J].Network Neuroscience,2017,1(2):69-99.
[15]HUMPHRIES M D.Dynamical networks:finding,measuring and tracking neural population activity using network science[J].Network Neuroscience,2018,1(4):324-338.
[16]LATAPY,MATTHIEU,VIARD,et al.Stream graphs and link streams for the modeling of interactions over time[J].2017.
[17]HUANG Y.Modeling and simulation method of the emergency response systems based on OODA[J].Knowledge-based Systems,2015,89(C):527-540.
[18]ZHE S,QUAN J,LI X,et al.An OODA loop-based function network modeling and simulation evaluation method for combat system-of-systems[C]∥Proc.of the Asian Simulation Conference,2016.
[19]KUMAR A,MCCANN R,NAUGHTON J,et al.Model selection management systems:the next frontier of advanced analytics[J].ACM Sigmod Record,2016,44(4):17-22.
[20]LI X,WANG W,ZHE S,et al.A system-of-systems architecture-driven modeling method for combat system effectiveness simulation[C]∥Proc.of the IEEE International Symposium on Systems Engineering,2016.
[21]HOLME P,SARAMKI J.Temporal networks[J].Physics Reports,2012,519(3):97-125.
[22]LIU B,GUO S,YAN K,et al.Double weight determination method for experts of complex multi-attribute large-group decisionmaking in interval-valued intuitionistic fuzzy environment[J].Journal of Systems Engineering and Electronics,2017,28(1):88-96.
[23]ZHANG Z C,CHEN L.Analysis on decision-making model of plan evaluation based on grey relation projection and combination weight algorithm[J].Journal of Systems Engineering and Electronics,2018,29(4):789-796.
[24]DICKERSON C E,MAVRIS D N.Relational oriented systems engineering(ROSE):preliminary report[C]∥Proc.of the International Conference on System of Systems Engineering,2011:149-154.
[25]MARVIS D N,GRIENDLING K,DICKERSON C E.Relationaloriented systems engineering and technology tradeoff analysis framework[J].Journal of Aircraft,2013,50(5):1564-1575.
[26]OPRICOVIC S,TZENG G H.Compromise solution by MCDMmethods:a comparative analysis of VIKOR and TOPSIS[J].European Journal of Operational Research,2004,156(2):445-455.
[27]张毅,姜青山.基于分层TOPSIS法的预警机效能评估[J].系统工程与电子技术,2011,33(5):1051-1054.ZHANG Y,JIANG Q S.Effectiveness evaluation of earlywarning aircraft based on hierarchy TOPSIS[J].Systems Engineering and Electronics,2011,33(5):1051-1054.
[28]LIAO C N,KAO H P.An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management[J].Expert Systems with Applications,2011,38(9):10803-10811.
[29]PRAKASH C,BARUA M K.Integration of AHP-TOPSISmethod for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment[J].Journal of Manufacturing Systems,2015,37:599-615.