Entropy as a measure of average loss of privacy
© 2017 by the Mathematical Association of Thailand. All rights reserved. Privacy means that not everything about a person is known, that we need to ask additional questions to get the full information about the person. It therefore seems to reasonable to gauge the degree of privacy in each situation...
Saved in:
Main Authors: | Luc Longpré, Vladik Kreinovich, Thongchai Dumrongpokaphan |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039744616&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57541 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Entropy as a measure of average loss of privacy
by: Luc Longpré, et al.
Published: (2018) -
Maximum entropy as a feasible way to describe joint distribution in expert systems
by: Thongchai Dumrongpokaphan, et al.
Published: (2018) -
Maximum entropy as a feasible way to describe joint distribution in expert systems
by: Thongchai Dumrongpokaphan, et al.
Published: (2018) -
How to select an appropriate similarity measure: Towards a symmetry-based approach
by: Ildar Batyrshin, et al.
Published: (2018) -
Optimal group decision making criterion and how it can help to decrease poverty, inequality, and discrimination
by: Vladik Kreinovich, et al.
Published: (2018)