基于目标作战意图信息融合的威胁评估方法
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摘要
针对不确定信息条件下目标威胁评估缺乏融合作战意图信息的现状,提出一种基于IFIOWA算子并融合目标作战意图信息的目标威胁评估方法.首先,基于战场目标不确定信息,以直觉模糊集为基础,利用直觉模糊诱导有序加权平均算子(IFIOWA)进行信息集结;其次,利用灰色关联群决策方法将作战意图信息与指标值知识测度进行融合,作为IFIOWA算子诱导值;再次,通过最小二乘方法融合基于指标排序位置权重和基于评估信息权重,获得多类型融合的IFIOWA算子位置权重;最后,基于IFIOWA算子对指标信息进行集结,并利用理想解贴近度的方法计算目标威胁度.威胁评估算例表明,所提方法能够融合目标作战意图信息,评估结果合理有效.
Aiming at the situation that target threat assessment lacks the fusion information of operation intention under the uncertain information condition, a method of target threat assessment based on the IFIOWA operator with operation intention information fusion is proposed. Based on the intuitionistic fuzzy set theory, the intuitionistic fuzzy induced ordered weighted averaging(IFIOWA) operator is used to aggregate information under the uncertain information of the battlefield target. Then the operation intention information and index value measurement of knowledge are fused as the induced value of the IFIOWA operator by using the grey correlation group decision making method. Multi type fusion weights for the IFIOWA operator are calculated using the least square method by fusing the weights based on the index ranking position and the weights based on the evaluation information. Finally, the IFIOWA operator is used to aggregate index information, and the closeness of ideal solution method is used to calculate target threat degree. The example of threat assessment illustrates that the method proposed can fuse target operator intention information, and the assessment result is reasonable and effective.
Aiming at the situation that target threat assessment lacks the fusion information of operation intention under the uncertain information condition, a method of target threat assessment based on the IFIOWA operator with operation intention information fusion is proposed. Based on the intuitionistic fuzzy set theory, the intuitionistic fuzzy induced ordered weighted averaging(IFIOWA) operator is used to aggregate information under the uncertain information of the battlefield target. Then the operation intention information and index value measurement of knowledge are fused as the induced value of the IFIOWA operator by using the grey correlation group decision making method. Multi type fusion weights for the IFIOWA operator are calculated using the least square method by fusing the weights based on the index ranking position and the weights based on the evaluation information. Finally, the IFIOWA operator is used to aggregate index information, and the closeness of ideal solution method is used to calculate target threat degree. The example of threat assessment illustrates that the method proposed can fuse target operator intention information, and the assessment result is reasonable and effective.
引文
[1]武华,苏秀琴.基于群广义直觉模糊软集的空袭目标威胁评估方法[J].控制与决策, 2015, 30(8):1462-1468.(Wu H, Su X Q. Threat assessment of aerial targets based on group generalized intuitionistic fuzzy soft sets[J].Control and Decision, 2015, 30(8):1462-1468.)
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[3]陈浩,任卿龙,滑艺,等.基于模糊神经网络的海面目标战术意图识别[J].系统工程与电子技术, 2016,38(8):1847-1853.(Chen H, Ren Q L, Hua Y, et al. Fuzzy neural network based on the tactical intention recognition for sea targets[J]. Systems Engineering and Electronics, 2016,38(8):1847-1853.)
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[6]王昊冉,老松杨,白亮,等.基于MEBN的战术级空中目标意图识别[J].火力与指挥控制, 2012, 37(10):133-138.(Wang H R, Lao S Y, Bai L, et al. Tactical air target intention recognition based on multi-entities bayesian network[J]. Fire Control&Command Control, 2012,37(10):133-138.)
[7]张肃,程启月,解瑶,等.不确定空情信息条件下的意图识别方法[J].空军工程大学学报:自然科学版,2008, 9(3):50-53.(Zhang S, Cheng Q Y,Xie Y, et al. A method of Inference Intention with Uncertain Aerial Information[J]. J of Air Force Engineering University:Natural Science Edition,2008, 9(3):50-53.)
[8] Atanassov K T. Intuitionistic fuzzy sets[J]. Fuzzy Sets&Systems, 1986, 20(1):87-96.
[9] Li D F. Multiattribute decision making models and methods using intuitionistic fuzzy sets[J]. J of Computer and System Sciences, 2005, 70(1):73-85.
[10] Wan S P, Wang F, Dong J Y. A preference degree for intuitionistic fuzzy values and application to multi-attribute group decision making[J]. Information Sciences, 2016, 370/371:127-146.
[11] Wan S P, Wang F, Dong J Y. A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection[J]. Applied Soft Computing, 2016, 38:405-422.
[12] Wan S P, Wang F, Dong J Y. A novel risk attitudinal ranking method for intuitionistic fuzzy values and application to MADM[J]. Applied Soft Computing, 2016,40:98-112.
[13] Wan S P, Wang F, Dong J Y. Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making[J]. European J of Operational Research,2017, 263(2):571-582.
[14]杜源,王永春,徐永杰.基于IFHPOWA算子的空中目标威胁评估变权模型[J].电光与控制, 2014, 21(3):23-28.(Du Y, Wang Y C, Xu Y J. A Variable Weight Model Based on IFHPOWA Operator for Air Target Threat Evaluation[J]. Electronics Optics&Control, 2014, 21(3):23-28.)
[15]王毅,刘三阳,张文,等.属性权重不确定的直觉模糊多属性决策的威胁评估方法[J].电子学报, 2014,42(12):2509-2514.(Wang Y, Liu S Y, Zhang W, et al. Threat assessment method with uncertain attribute weight based on intuitionistic fuzzy multi-attribute decision[J]. Acta Electronica Sinica, 2014, 42(12):2509-2514.)
[16] Yager R R, Filev D P. Induced ordered weighted averaging operators[J]. IEEE Trans on Systems, Man,&Cybernetics Part B, 1999, 29(2):141-150.
[17] Xu Z S. Intuitionistic fuzzy aggregation operators[J].IEEE Trans on Fuzzy Systems, 2007, 15(6):1179-1187.
[18] Li D F. Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets[J]. Expert Systems with Applications, 2010, 37(12):8673-8678.
[19] Satyajit D, Bapi D, Debashree G. Weight computation of criteria in a decision-making problem by knowledge measure with intuitionistic fuzzy set and interval-valued intuitionistic fuzzy set[J]. Soft Computing, 2015, 20(9):3421-3442.
[20] Atanassov K, Georgi Gargov. Interval valued intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems,1989, 31(3):343-349.
[21] Wen-Liang Hung, Miin-Shen Yang. Fuzzy entropy on intuitionistic fuzzy sets[J]. Int J of Intelligent Systems,2006, 21(4):443-451.
[22] Zhang H M,Yu L Y. New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets[J].Information Sciences, 2013, 245:181-196.
[23] Liang X, Wei C P, Chen Z M. An intuitionistic fuzzy weighted OWA operator and its application[J]. Int J of Machine Learning and Cybernetics, 2013, 4(6):713-719.
[24] Hoang Nguyen. A new knowledge-based measure for intuitionistic fuzzy sets and its application in multiple attribute group decision making[J]. Expert Systems with Applications, 2015, 42(22):8766-8774.
[25]陈志旺,杨七,白锌,等.基于灰色关联求解权重未知的区间直觉模糊集多属性群决策[J].模糊系统与数学, 2015, 29(6):64-75.(Chen Z W, Yang Q, Bai X, et al. Based on grey relational analysis method the multiple attribute group decision making of interval-valued intuitionistic fuzzy sets with unknown weights[J]. Fuzzy Systems and Mathematic,2015, 29(6):64-75.)
[26] Byeong Seok Ahn, Haechurl Park. Least-squared ordered weighted averaging operator weights[J]. Int J of Intelligent Systems, 2008, 23(1):33-49.
[27] Shyi-Ming Chen, Shou-Hsiung Cheng, Tzu-Chun Lan.Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values[J]. Information Sciences, 2016, 367/368:279-295.
[2]张堃,王雪,张才坤,等.基于IFE动态直觉模糊法的空战目标威胁评估[J].系统工程与电子技术, 2014,36(4):697-701.(Zhang K, Wang X, Zhang C K, et al. Evaluating and sequencing of air target threat based on IFE anddynamic intuitionistic fuzzy sets[J]. Systems Engineering and Electronics, 2014, 36(4):697-701.)
[3]陈浩,任卿龙,滑艺,等.基于模糊神经网络的海面目标战术意图识别[J].系统工程与电子技术, 2016,38(8):1847-1853.(Chen H, Ren Q L, Hua Y, et al. Fuzzy neural network based on the tactical intention recognition for sea targets[J]. Systems Engineering and Electronics, 2016,38(8):1847-1853.)
[4]赵福均,周志杰,胡昌华,等.基于置信规则库和证据推理的空中目标意图识别方法[J].电光与控制, 2017,24(8):15-19.(Zhao F J, Zhou Z J, Hu C H, et al. Aerial target intention recognition approach based on belief-rule-base and evidential reasoning[J]. Electronics Optics&Control,2017, 24(8):15-19.)
[5] Johansson F, Falkman G. Implementation and integration of a Bayesian network for prediction of tactical intention into a ground target simulator[C]. Int Conf on InformationFusion. Florence:IEEE, 2007:1-7.
[6]王昊冉,老松杨,白亮,等.基于MEBN的战术级空中目标意图识别[J].火力与指挥控制, 2012, 37(10):133-138.(Wang H R, Lao S Y, Bai L, et al. Tactical air target intention recognition based on multi-entities bayesian network[J]. Fire Control&Command Control, 2012,37(10):133-138.)
[7]张肃,程启月,解瑶,等.不确定空情信息条件下的意图识别方法[J].空军工程大学学报:自然科学版,2008, 9(3):50-53.(Zhang S, Cheng Q Y,Xie Y, et al. A method of Inference Intention with Uncertain Aerial Information[J]. J of Air Force Engineering University:Natural Science Edition,2008, 9(3):50-53.)
[8] Atanassov K T. Intuitionistic fuzzy sets[J]. Fuzzy Sets&Systems, 1986, 20(1):87-96.
[9] Li D F. Multiattribute decision making models and methods using intuitionistic fuzzy sets[J]. J of Computer and System Sciences, 2005, 70(1):73-85.
[10] Wan S P, Wang F, Dong J Y. A preference degree for intuitionistic fuzzy values and application to multi-attribute group decision making[J]. Information Sciences, 2016, 370/371:127-146.
[11] Wan S P, Wang F, Dong J Y. A novel group decision making method with intuitionistic fuzzy preference relations for RFID technology selection[J]. Applied Soft Computing, 2016, 38:405-422.
[12] Wan S P, Wang F, Dong J Y. A novel risk attitudinal ranking method for intuitionistic fuzzy values and application to MADM[J]. Applied Soft Computing, 2016,40:98-112.
[13] Wan S P, Wang F, Dong J Y. Additive consistent interval-valued Atanassov intuitionistic fuzzy preference relation and likelihood comparison algorithm based group decision making[J]. European J of Operational Research,2017, 263(2):571-582.
[14]杜源,王永春,徐永杰.基于IFHPOWA算子的空中目标威胁评估变权模型[J].电光与控制, 2014, 21(3):23-28.(Du Y, Wang Y C, Xu Y J. A Variable Weight Model Based on IFHPOWA Operator for Air Target Threat Evaluation[J]. Electronics Optics&Control, 2014, 21(3):23-28.)
[15]王毅,刘三阳,张文,等.属性权重不确定的直觉模糊多属性决策的威胁评估方法[J].电子学报, 2014,42(12):2509-2514.(Wang Y, Liu S Y, Zhang W, et al. Threat assessment method with uncertain attribute weight based on intuitionistic fuzzy multi-attribute decision[J]. Acta Electronica Sinica, 2014, 42(12):2509-2514.)
[16] Yager R R, Filev D P. Induced ordered weighted averaging operators[J]. IEEE Trans on Systems, Man,&Cybernetics Part B, 1999, 29(2):141-150.
[17] Xu Z S. Intuitionistic fuzzy aggregation operators[J].IEEE Trans on Fuzzy Systems, 2007, 15(6):1179-1187.
[18] Li D F. Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets[J]. Expert Systems with Applications, 2010, 37(12):8673-8678.
[19] Satyajit D, Bapi D, Debashree G. Weight computation of criteria in a decision-making problem by knowledge measure with intuitionistic fuzzy set and interval-valued intuitionistic fuzzy set[J]. Soft Computing, 2015, 20(9):3421-3442.
[20] Atanassov K, Georgi Gargov. Interval valued intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems,1989, 31(3):343-349.
[21] Wen-Liang Hung, Miin-Shen Yang. Fuzzy entropy on intuitionistic fuzzy sets[J]. Int J of Intelligent Systems,2006, 21(4):443-451.
[22] Zhang H M,Yu L Y. New distance measures between intuitionistic fuzzy sets and interval-valued fuzzy sets[J].Information Sciences, 2013, 245:181-196.
[23] Liang X, Wei C P, Chen Z M. An intuitionistic fuzzy weighted OWA operator and its application[J]. Int J of Machine Learning and Cybernetics, 2013, 4(6):713-719.
[24] Hoang Nguyen. A new knowledge-based measure for intuitionistic fuzzy sets and its application in multiple attribute group decision making[J]. Expert Systems with Applications, 2015, 42(22):8766-8774.
[25]陈志旺,杨七,白锌,等.基于灰色关联求解权重未知的区间直觉模糊集多属性群决策[J].模糊系统与数学, 2015, 29(6):64-75.(Chen Z W, Yang Q, Bai X, et al. Based on grey relational analysis method the multiple attribute group decision making of interval-valued intuitionistic fuzzy sets with unknown weights[J]. Fuzzy Systems and Mathematic,2015, 29(6):64-75.)
[26] Byeong Seok Ahn, Haechurl Park. Least-squared ordered weighted averaging operator weights[J]. Int J of Intelligent Systems, 2008, 23(1):33-49.
[27] Shyi-Ming Chen, Shou-Hsiung Cheng, Tzu-Chun Lan.Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values[J]. Information Sciences, 2016, 367/368:279-295.