Landing Site Selection using Fuzzy Rule-Based Reasoning

机译：基于模糊规则推理的登陆点选择

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In this paper, multiple on-board sensors are used to assess the terrain safety in real-time during spacecraft descent. A linguistic, fuzzy rule-based reasoning engine is used to determine terrain safety from sensor measurements and, together with information about required fuel consumption and site science return, provide a figure-of-merit for all possible landing sites. Additional fuzzy rule-sets are used to address spatial and temporal dependence in the reasoning process in order to arrive at a final score for each potential landing site. This landing score is used to retarget the spacecraft if the original landing site is found to be hazardous. Simulation studies are presented for illustration.

机译：在本文中，多个机载传感器用于在航天器下降期间实时评估地形安全性。基于语言的，基于模糊规则的推理引擎用于根据传感器的测量结果确定地形安全性，并与有关所需的燃油消耗和现场科学回报的信息一起，为所有可能的着陆点提供品质因数。为了获得每个潜在着陆点的最终分数，在推理过程中使用了附加的模糊规则集来解决空间和时间上的依赖性。如果发现原始着陆点有危险，则该着陆分数用于重新确定航天器的目标。仿真研究仅供说明。

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《》|2007年|4899-4904|共6页
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Serrano; N.; Seraji; H.;
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aerospace computing; aerospace safety; fuzzy reasoning; fuzzy set theory; space vehicles; fuzzy rule-sets; landing site selection; linguistic fuzzy rule-based reasoning engine; sensor measurements; spacecraft descent; spatial dependence; temporal dependence; terrain;

机译：航空计算;航空航天安全;模糊推理;模糊集合论;航天器;模糊规则集;着陆点选择;基于语言模糊规则的推理引擎;传感器测量值;航天器下降;空间依赖性;时间依赖性;地形;
入库时间 2022-08-26 15:08:30

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1. IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection [J] . Sanz J.A., Fernandez A., Bustince H., IEEE Transactions on Fuzzy Systems . 2013,第3期

机译：IVTURS：基于语言模糊规则的分类系统，基于带有调整和规则选择的新区间值模糊推理方法
2. Automatic selection of color constancy algorithms for dark image enhancement by fuzzy rule-based reasoning [J] . Cepeda-Negrete Jonathan, Sanchez-Yanez Raul E. Applied Soft Computing . 2015,第Null期

机译：通过基于模糊规则的推理自动选择用于黑暗图像增强的颜色恒定性算法
3. Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on piecewise fuzzy entropies of fuzzy sets [J] . Chen Shyi-Ming, Chen Ze-Jin Information Sciences: An International Journal . 2016,第Null期

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4. Landing Site Selection using Fuzzy Rule-Based Reasoning [C] . Serrano N., Seraji H. IEEE International Conference on Robotics and Automation . 2007

机译：利用模糊规则的推理着陆网站选择
5. A model validation methodology for isolating inconsistent knowledge between fuzzy rule-based and quantitative models using fuzzy simulation [D] . Kim, Gyooseok 1998

机译：一种使用模糊模拟隔离基于规则的模糊模型和定量模型之间的不一致知识的模型验证方法
6. Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection [O] . José Antonio Sanz, Tiago da Cruz Asmus, Borja de la Osa, -1

机译：通过调整和规则选择提高基于区间值的模糊规则分类器的效率
7. Landing Site Selection using Fuzzy Rule-Based Reasoning [O] . Navid Serrano, Homayoun Seraji 2007

机译：基于模糊规则推理的着陆点选择
8. A fuzzy rule-based safety index for landing site risk assessment [R] . Howard, A., Seraji, H. 2002

机译：基于模糊规则的着陆点风险评估安全指数

Landing Site Selection using Fuzzy Rule-Based Reasoning

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