Fuzzy logic applications to Fire Control systems.



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Amo, Ana del and Montero, Javier and Gómez, D. (2006) Fuzzy logic applications to Fire Control systems. In 2006 IEEE International Conference on Fuzzy Systems. IEE monograph series, 1-5 . Ieee, Vancouver, Canada, pp. 1298-1304. ISBN 978-0-7803-9488-9

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Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1681877


The paper objective is to study and solve one of the problems encountered in the development of a Fire Control system. Fire Control encompasses all operations required to apply fire on a target. We can not cover in this paper the whole set of mathematical problems in which Fire Control applications can be divided. Therefore, we will focus in one of the initial phases, the Target Detection problem. In general, the application of a segmentation algorithm to a data set as a preprocessing of the data previous to an unsupervised classification algorithm improves the probability of detection. The paper presents such a combination. Expert information about the encounter classes will be used for a supervised classification of the example picture. In the first place, we will use a segmentation algorithm to found the natural homogeneous classes in the data. These classes will be explored by an unsupervised clustering algorithm. The unsupervised classification will be performed on the segmented. image. Once the classes have been determined that way the classification will be done over the original image.

Item Type:Book Section
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IEEE International Conference on Fuzzy Systems
JUL 16-21, 2006

Uncontrolled Keywords:Computer Science; Artificial Intelligence; Engineering; Electrical & Electronic
Subjects:Sciences > Computer science > Artificial intelligence
ID Code:16937
Deposited On:30 Oct 2012 09:06
Last Modified:03 Aug 2018 11:09

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