the mathematical model simulation of law risk evaluation for intellectual property protection

DOI

10.2991/iccset-14.2015.63How to use a DOI?

Keywords

Intellectual property protection; law risks; local clustering improvement; weights entropy

Abstract

Currently, the intellectual property protection gradually present diverse characteristics in which some disputes become norm. There are no effective evaluation models to assess the law risks in the intellectual property protection. This paper proposes an intellectual property law risks evaluation models based on the weighted entropy of the statistical analyzed law factors clustering which integrates the law evaluation risks factors and illegal analysis constrained factors. According to the local clustering areas of the information entropy segmentation law risk factors of the intellectual property constrained factors, the maximum information entropy of the law risks can be obtained while protecting the intellectual property and the law risks will be graded accordingly. The experimental results show that the proposed evaluation model can accurately assess the law risks in intellectual property protection procedures with high practical values.

Copyright

© 2015, 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  - Caixia Zou
AU  - Bing Zhou
PY  - 2015/01
DA  - 2015/01
TI  - the mathematical model simulation of law risk evaluation for intellectual property protection
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 289
EP  - 292
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.63
DO  - 10.2991/iccset-14.2015.63
ID  - Zou2015/01
ER  -