Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR

doi:10.21629/JSEE.2018.02.11

Journal of Systems Engineering and Electronics ›› 2018, Vol. 29 ›› Issue (2): 305-310.doi: 10.21629/JSEE.2018.02.11

• Systems Engineering • Previous Articles Next Articles

Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR

Kun ZHANG^1,*(), Weiren KONG¹(), Peipei LIU¹(), Jiao SHI¹(), Yu LEI¹(), Jie ZOU²()

¹ School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China
² Science and Technology on Electro-Optic Control Laboratory, Luoyang 471009, China

Received:2019-02-09 Online:2018-04-26 Published:2018-04-27
Contact: Kun ZHANG E-mail:kunnpu@gmail.com;k@nwpu.mail.edu.cn;pei_pei_liu@163.com;jiaoshi@nwpu.edu.cn;leiy@nwpu.edu.cn;zoujie613@126.com
About author:ZHANG Kun was born in 1982. He is a Ph.D. and an associate professor in Northwestern Polytechnical University. His research interests are intelligent control and deciding, integrated avionics system simulation and testing, and advanced control theory and application. E-mail: kunnpu@gmail.com|KONG Weiren was born in 1991. He is a Ph.D. in Northwestern Polytechnical University. His interests are intelligent control and deciding, multiobjective optimization, and complex network theory. E-mail: k@nwpu.mail.edu.cn|LIU Peipei was born in 1993. she is a master in Northwestern Polytechnical University. Her research interest is threat assessment in air combat. E-mail: pei_pei_liu@163.com|SHI Jiao was born in 1986. She is a Ph.D. and a lecturer in Northwestern Polytechnical University. Her current research interests include computational intelligence, fuzzy logic and image understanding. E-mail: jiaoshi@nwpu.edu.cn|LEI Yu was born in 1985. He is a Ph.D. and a lecturer in Northwestern Polytechnical University. His current research interests include computational intelligence and multi-objective optimization. E-mail: leiy@nwpu.edu.cn|ZOU Jie was born in 1970. He is a master and a senior engineer of National Key Laboratory of Science and Technology on Electro-Optic Control. His current research interests are systems engineering, intelligent control, and data fusion. E-mail: zoujie613@126.com
Supported by:
the National Natural Science Foundation of China(61401363);the Science and Technology on Avionics Integration Laboratory and Aeronautical Science Foundation(20155153034);the Innovative Talents Promotion Plan in Shaanxi Province(2017KJXX-15);the Fundamental Research Funds for the Central Universities(3102016AXXX005);This work was supported by the National Natural Science Foundation of China (61401363), the Science and Technology on Avionics Integration Laboratory and Aeronautical Science Foundation (20155153034), the Innovative Talents Promotion Plan in Shaanxi Province (2017KJXX-15), and the Fundamental Research Funds for the Central Universities (3102016AXXX005)

Abstract

Abstract:

In view of the fact that traditional air target threat assessment methods are difficult to reflect the combat characteristics of uncertain, dynamic and hybrid formation, an algorithm is proposed to solve the multi-target threat assessment problems. The target attribute weight is calculated by the intuitionistic fuzzy entropy (IFE) algorithm and the time series weight is gained by the Poisson distribution method based on multi-times data. Finally, assessment and sequencing of the air multi-target threat model based on IFE and dynamic VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is established with an example which indicates that the method is reasonable and effective.

Key words: threat assessment, intuitionistic fuzzy entropy (IFE), dynamic VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), poisson distribution, time series weight

Kun ZHANG, Weiren KONG, Peipei LIU, Jiao SHI, Yu LEI, Jie ZOU. Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR[J]. Journal of Systems Engineering and Electronics, 2018, 29(2): 305-310.

Figures/Tables 3

Table 1

Table 2

Fig 1

References 17

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Time	Target	Combat capability factor	Velocity threat factor	Distance threat factor	Angle threat factor
t₁	m1	$ \langle 0.76, 0.10\rangle $	$ \langle 0.68, 0.15\rangle $	$ \langle 0.75, 0.15\rangle $	$ \langle 0.80, 0.15\rangle $
	m2	$ \langle 0.80, 0.15\rangle $	$ \langle 0.70, 0.15\rangle $	$ \langle 0.60, 0.20\rangle $	$ \langle 0.90, 0.10\rangle $
	m3	$ \langle 0.78, 0.15\rangle $	$ \langle 0.72, 0.13\rangle $	$ \langle 0.65, 0.15\rangle $	$ \langle 0.75, 0.15\rangle $
	m4	$ \langle 0.65, 0.28\rangle $	$ \langle 0.80, 0.20\rangle $	$ \langle 0.55, 0.30\rangle $	$ \langle 0.80, 0.11\rangle $
t₂	m1	$ \langle 0.78, 0.10\rangle $	$ \langle 0.65, 0.20\rangle $	$ \langle 0.70, 0.20\rangle $	$ \langle 0.80, 0.11\rangle $
	m2	$ \langle 0.83, 0.10\rangle $	$ \langle 0.65, 0.20\rangle $	$ \langle 0.70, 0.15\rangle $	$ \langle 0.85, 0.10\rangle $
	m3	$ \langle 0.75, 0.20\rangle $	$ \langle 0.85, 0.15\rangle $	$ \langle 0.82, 0.18\rangle $	$ \langle 0.73, 0.19\rangle $
	m4	$ \langle 0.70, 0.20\rangle $	$ \langle 0.64, 0.21\rangle $	$ \langle 0.76, 0.15\rangle $	$ \langle 0.75, 0.15\rangle $
t₃	m1	$ \langle 0.76, 0.13\rangle $	$ \langle 0.70, 0.15\rangle $	$ \langle 0.60, 0.25\rangle $	$ \langle 0.75, 0.18\rangle $
	m2	$ \langle 0.85, 0.1\rangle $	$ \langle 0.75, 0.15\rangle $	$ \langle 0.75, 0.10\rangle $	$ \langle 0.85, 0.05\rangle $
	m3	$ \langle 0.75, 0.25\rangle $	$ \langle 0.70, 0.15\rangle $	$ \langle 0.75, 0.25\rangle $	$ \langle 0.70, 0.15\rangle $
	m4	$ \langle 0.75, 0.15\rangle $	$ \langle 0.68, 0.20\rangle $	$ \langle 0.70, 0.18\rangle $	$ \langle 0.60, 0.20\rangle $

ID	υ	Q	Result	Time/s
1	0.0	0.000 0, 0.843 2, 0.659 0, 1.000 0	m1>m3>m2>m4	0.038 5
2	0.1	0.017 9, 0.858 9, 0.593 1, 0.913 6	m1>m3>m2>m4	0.039 2
3	0.2	0.035 8, 0.874 5, 0.527 2, 0.827 3	m1>m3>m4>m2	0.039 0
4	0.3	0.053 7, 0.890 2, 0.461 3, 0.740 9	m1>m3>m4>m2	0.039 0
5	0.4	0.071 6, 0.905 9, 0.395 4, 0.654 6	m1>m3>m4>m2	0.039 1
6	0.5	0.089 5, 0.921 6, 0.329 5, 0.568 2	m1>m3>m4>m2	0.040 0
7	0.6	0.107 4, 0.937 3, 0.263 6, 0.481 9	m1>m3>m4>m2	0.039 7
8	0.7	0.125 3, 0.953 0, 0.197 7, 0.395 5	m1>m3>m4>m2	0.040 6
9	0.8	0.143 2, 0.968 6, 0.131 8, 0.309 1	m3>m1>m4>m2	0.038 7
10	0.9	0.161 1, 0.984 3, 0.065 9, 0.222 8	m3>m1>m4>m2	0.038 5
11	1.0	0.179 0, 1.000 0, 0.000 0, 0.136 4	m3 > m4 > m1 > m2	0.038 1

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Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR

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