A comprehensive G-Lz-ADC effectiveness evaluation model for the single communication satellite system in the context of poor information

Shao, Ruirui; Fang, Zhigeng; Tao, Liangyan; Gao, Su; You, Weiqing

doi:10.1108/gs-03-2021-0030

Cited by 9 publications

(3 citation statements)

References 36 publications

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“…Based on fuzzy mathematics and hierarchical analysis, Yang Jun established an index system for evaluating the performance of satellite navigation systems and illustrated the evaluation process and methodology with examples [12]. Shao et al used grey system theory to construct a multi-state system performance evaluation model for the inaccurate and insufficient data of the communication satellite system [13]. Liu et al used the hierarchical analysis method to calculate the weights of the indicators, established the ADC model and simulated the indicator values, and finally completed the comprehensive performance evaluation of the satellite system [14].…”

Section: Introductionmentioning

confidence: 99%

A Performance Evaluation Approach for Satellite Attitude Control System in Tracking Mode

Zhang,

Yang,

Cheng

et al. 2024

Applied Sciences

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The study of satellite performance evaluation can reveal the ability of satellite systems to fulfil corresponding tasks in the space environment, and provide information support for the resource allocation and mission scheduling of in-orbit satellites. In this paper, we took the satellite attitude control system in attitude tracking mode as the research object. In accordance with the system’s mission requirements, the control performance evaluation indicator set, characterized by a generalized grey number, is constructed to tackle the uncertainty and inadequacy of information contained in flight status data resulting from the complex space operating environment and sensor measurement noise. An improved principal component analysis method based on generalized grey number is proposed to solve the weight amplification caused by the correlation between performance indicators and realize the weight allocation of the indicators. Finally, the grey-target decision model is established to determine the weights of the performance indicators, and the performance evaluation model is established under the tracking mode. The feasibility of the grey-target decision-evaluation model based on the improved principal component is confirmed through comparative experiments.

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Section: Introductionmentioning

confidence: 99%

A Performance Evaluation Approach for Satellite Attitude Control System in Tracking Mode

Zhang,

Yang,

Cheng

et al. 2024

Applied Sciences

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“…Numerous researchers have used various techniques to evaluate the efficiency and performance of SCS, such as mathematical modeling [ 1 ], Bayesian theory [ 2 ], gray integrated evaluation [ 3 ], ADC method [ 4 ], neural network [ 5 ], and intuitionistic fuzzy set (IFS) [ 6 ]. However, there are still relatively few mature methods available for evaluating the satisfaction degree of SCS capability requirements.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Hesitant Fuzzy Evidence Theory and Its Application in Capability Evaluation of a Satellite Communication System

Liu,

Jian,

Liu

et al. 2024

Entropy

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Evaluating the capabilities of a satellite communication system (SCS) is challenging due to its complexity and ambiguity. It is difficult to accurately analyze uncertain situations, making it difficult for experts to determine appropriate evaluation values. To address this problem, this paper proposes an innovative approach by extending the Dempster-Shafer evidence theory (DST) to the probabilistic hesitant fuzzy evidence theory (PHFET). The proposed approach introduces the concept of probabilistic hesitant fuzzy basic probability assignment (PHFBPA) to measure the degree of support for propositions, along with a combination rule and decision approach. Two methods are developed to generate PHFBPA based on multi-classifier and distance techniques, respectively. In order to improve the consistency of evidence, discounting factors are proposed using an entropy measure and the Jousselme distance of PHFBPA. In addition, a model for evaluating the degree of satisfaction of SCS capability requirements based on PHFET is presented. Experimental classification and evaluation of SCS capability requirements are performed to demonstrate the effectiveness and stability of the PHFET method. By employing the DST framework and probabilistic hesitant fuzzy sets, PHFET provides a compelling solution for handling ambiguous data in multi-source information fusion, thereby improving the evaluation of SCS capabilities.

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“…It is well known that the higher the accuracy of the model, the more accurate the effectiveness evaluation, and the more consistent it is with the real situation. At present, there are several effectiveness evaluation methods, such as the analytic hierarchy process (AHP) [7,9,10], ADC (availability, dependability, capability) model [11][12][13], fuzzy comprehensive evaluation method [14][15][16][17], grey evaluation method [18], neural network method [8,19], and so on. It is worth noting that all of the abovementioned effectiveness evaluation methods, except the neural network method, have the following two shortcomings.…”

Section: Introductionmentioning

confidence: 99%

Application of a Modified BPS Neural Network Based on Three-Way Decision Theory in an Effectiveness Evaluation for a Remote Sensing Satellite Cluster

Lei

Dong

et al. 2023

Remote Sensing

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The remote sensing satellite cluster system, as an important component of the next generation of space architecture in the United States, has important application prospects in the military field. In order to improve the effects of time, with regard to the effectiveness evaluation of the remote sensing satellite cluster system, neural network methods are generally used to satisfy the requirements of real-time decision-making assistance in the military field. However, there are two problems that emerge when applying the existing neural network methods to an effectiveness evaluation of the remote sensing satellite cluster. On the one hand, the neural network model architecture needs to be designed specifically for the remote sensing satellite cluster system. On the other hand, there is still a lack of hyperparameter optimization methods that consume less time and have good optimization effects for the established neural network model. In this regard, two main modifications were made to the back-propagation neural network, to which an effectiveness evaluation was applied. The first comprised a new architecture named BPS, which was designed for the back-propagation neural network so as to improve its prediction accuracy. In BP architecture, one back-propagation neural network is established for each indicator involved in the effectiveness evaluation indicator system of the remote sensing satellite cluster; the output of each back-propagation neural network model is modified to the residual value between the corresponding indicator value and the value that is predicted through a multiple linear regression analysis of the corresponding indicator. The second modification involved the multi-round traversal method, which is based on the three-way decision theory, and it was proposed in order to significantly improve the model’s training time, which is a new type of hyperparameter optimization method. The results show that compared with the traditional simulation model, the modified back-propagation neural network model based on three-way decision theory can quickly and effectively provide stable and accurate evaluation results; this can assist with and meet the requirements for real-time decision-making in the military field.

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A comprehensive G-Lz-ADC effectiveness evaluation model for the single communication satellite system in the context of poor information

Cited by 9 publications

References 36 publications

A Performance Evaluation Approach for Satellite Attitude Control System in Tracking Mode

A Performance Evaluation Approach for Satellite Attitude Control System in Tracking Mode

Probabilistic Hesitant Fuzzy Evidence Theory and Its Application in Capability Evaluation of a Satellite Communication System

Application of a Modified BPS Neural Network Based on Three-Way Decision Theory in an Effectiveness Evaluation for a Remote Sensing Satellite Cluster

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