A Targets Prioritizing Method Based on Clustering Coefficient TSM

DOI

10.2991/ammee-17.2017.165How to use a DOI?

Keywords

targets prioritizing, clustering coefficient, tactical significance map, analytic hierarchy process.

Abstract

An improved tactical significance map (CTSM) algorithm based clustering coefficient is proposed to deal with the multi-property targets prioritizing problem. The CTSM algorithm combines the target clustering coefficient with the traditional tactical significance map algorithm. The improved algorithm of the target priority is determined by three factors, target's own properties, relative attributes of target-region and target-target. The three factors are weighted by analytic hierarchy process. Simulation results show that the CTSM algorithm considers the problem more comprehensively and more in line with the practical application requirements.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shuna Cai
AU  - Xiaomin Ran
AU  - Chao Wang
PY  - 2017/06
DA  - 2017/06
TI  - A Targets Prioritizing Method Based on Clustering Coefficient TSM
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 864
EP  - 869
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.165
DO  - 10.2991/ammee-17.2017.165
ID  - Cai2017/06
ER  -