By Topic

A temperature and humidity sensors data fusion method based on fuzzy set theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yi Lv ; Office of Teaching Affairs, Liaoning University of Technology, Jinzhou, China ; Xin Li

To deal with the problem of obtaining the status of temperature and humidity in industrial environment, this paper proposes a fuzzy set-based approach for multi-sensors data of temperature and humidity fusion. Firstly, the hardware architecture of temperature and humidity monitor system is presented. Then, based on fuzzy set theory, the paper describes the fuzzy synthetic evaluation model and proposes a novel algorithm for choosing the weight assignment proposals. A multi-sensors data of temperature and humidity fusion approach, which is based on fuzzy synthetic evaluation, is finally presented. An example is also showed for demonstrating the approach presented in this paper. The experiment results identify that the approach can eliminate the impact of incorrect data on evaluating the temperature and humidity status, and thus make sure the data fusion result is objective and correct.

Published in:

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Date of Conference:

4-6 Dec. 2010