[1]WANG Feng.Extension data mining of the performance of a missile weapon system based on its parameter index[J].CAAI Transactions on Intelligent Systems,2019,14(3):560-565.[doi:10.11992/tis.201801006]
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Extension data mining of the performance of a missile weapon system based on its parameter index

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 14 Number of periods: 2019 3 Page number: 560-565 Column: 学术论文—智能系统 Public date: 2019-05-05
Title:
Extension data mining of the performance of a missile weapon system based on its parameter index
Author(s):
WANG Feng
Naval Aviation University, Yantai 264001, China
Keywords:
extenics; data mining; extension knowledge; missile weapon system; evaluation characteristics
CLC:
TJ760
DOI:
10.11992/tis.201801006
Abstract:
The extension data mining theory is introduced for studying the performance of the naval missile weapon system to excavate the influence and degree of several parameters of the missile weapon system on performance and other indices. Three new performance indices, including the destruction index, detection index, and penetration and survival index, have been introduced and are considered as evaluation characteristics while investigating the structural design and for finding the parts that can transform the missile weapon system. Therefore, several indices of the missile weapon system are observed to experience conduction transformation. Furthermore, several missile parameters are mined using the extension reasoning knowledge that is obtained by mining the qualitative and quantitative domains. According to the test data obtained by conducting a naval coastal defense missile analysis, using a large number of test data and the test design of factory identification in the demonstration test helps to completely excavate the valuable knowledge.
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