<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Packet sets and inverse packet sets are two kinds of novel mathematical tools to analyze dynamic information systems. With advances in inverse packet sets, random inverse packet information is proposed by introducing random characteristics into inverse packet sets. Hence, random inverse packet information has dynamic and random characteristics, and is an extended form of inverse packet sets. Furthermore, random feature, dynamic feature, and identification relation about the random inverse packet information are discussed. Finally, based on the above theory, an instance is used to illustrate the applications of intelligent acquisition of investment information.</p></abstract>

Packet sets and inverse packet sets are two kinds of novel mathematical tools to analyze dynamic information systems. With advances in inverse packet sets, random inverse packet information is proposed by introducing random characteristics into inverse packet sets. Hence, random inverse packet information has dynamic and random characteristics, and is an extended form of inverse packet sets. Furthermore, random feature, dynamic feature, and identification relation about the random inverse packet information are discussed. Finally, based on the above theory, an instance is used to illustrate the applications of intelligent acquisition of investment information.

Random inverse packet information and its acquisition

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Random inverse packet information and its acquisition"}

Packet sets and inverse packet sets are two kinds of novel mathematical tools to analyze dynamic information systems. With advances in inverse packet sets,...

k	1	2	3	4	5	6
$x_{1 k}^{(0)}$ x_{1k}^{(0)}	0.51	0.30	0.52	0.22	0.50	0.44
$x_{2 k}^{(0)}$ x_{2k}^{(0)}	0.21	0.28	0.45	0.36	0.66	0.53
$x_{3 k}^{(0)}$ x_{3k}^{(0)}	0.43	0.29	0.60	0.40	0.28	0.24
$x_{4 k}^{(0)}$ x_{4k}^{(0)}	0.19	0.35	0.48	0.66	0.67	0.26

k	1	2	3	4	5	6
$x_{1 k}^{(F ρ)}$ x_{1k}^{(F\rho )}	0.51	0.30	0.52	0.22	0.50	0.44
$x_{2 k}^{(F ρ)}$ x_{2k}^{(F\rho )}	0.21	0.28	0.45	0.36	0.66	0.53
$x_{3 k}^{(F ρ)}$ x_{3k}^{(F\rho )}	0.43	0.28	0.60	0.40	0.28	0.24
$x_{4 k}^{(F ρ)}$ x_{4k}^{(F\rho )}	0.19	0.35	0.48	0.66	0.67	0.26
$x_{5 k}^{(F ρ)}$ x_{5k}^{(F\rho )}	0.61	0.60	0.72	0.69	0.65	0.70
$x_{6 k}^{(F ρ)}$ x_{6k}^{(F\rho )}	0.71	0.69	0.82	0.72	0.66	0.69

Random inverse packet information and its acquisition

Publicado en línea: 05 nov 2020

Páginas: 357 - 366

Recibido: 22 jul 2020

Aceptado: 14 ago 2020

DOI: https://doi.org/10.2478/amns.2020.2.00042

Palabras clave
inverse packet set, random inverse packet information, random and dynamic characteristics

© 2020 Xiuqing Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

The profit discrete distributions x(0), xi(0)x.i^{(0)} of W,Wi,i = 1,2,3,4 from June to December in 2019

The profit discrete distributions x(F0.8), xi(F0.8)x.i^{(F0.8)} of group company WF0.8 and sub-company Wi,i = 1,2,3,4,5,6 from January to June in 2020

Random inverse packet information and its acquisition

Publicado en línea: 05 nov 2020

Páginas: 357 - 366

Recibido: 22 jul 2020

Aceptado: 14 ago 2020

DOI: https://doi.org/10.2478/amns.2020.2.00042

Palabras claveinverse packet set, random inverse packet information, random and dynamic characteristics

© 2020 Xiuqing Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

The profit discrete distributions x(0), xi(0)x.i^{(0)} of W,Wi,i = 1,2,3,4 from June to December in 2019

The profit discrete distributions x(F0.8), xi(F0.8)x.i^{(F0.8)} of group company WF0.8 and sub-company Wi,i = 1,2,3,4,5,6 from January to June in 2020

Palabras clave
inverse packet set, random inverse packet information, random and dynamic characteristics