Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Research on Intelligent Detecting Technology Based on Extension Fuzzy Method

Authors
Minghui Wang, Yongquan Yu, Ge Wei, Xiang Ren, Dan Liu, Yujing Wei
Corresponding Author
Minghui Wang
Available Online August 2016.
DOI
https://doi.org/10.2991/cset-16.2016.20How to use a DOI?
Keywords
Intelligent detecting, extension method, fuzzy rule, elements focusing, extension reasoning
Abstract
This paper studies a new kind of intelligent detecting technology which includes key detectable matter-elements distilling, adaptive degree analyzes, focusing and reasoning mechanism construction, focusing processing. This paper researches on the focusing and reasoning mechanism construction, which is to construct the reasoning mechanism and use it to get the focusing. The focusing is actually to work out the core element of the detectable matter-element according to the adaptive degree distributing. This paper puts forward the methods to solve all types of focusing: to the one-dimensional and two-dimensional focusing, connects the adaptive degree with the dependent function to figure out the focusing; to the three-dimensional and multidimensional focusing, constructs an extension fuzzy -based knowledge reasoning expert system and uses the extension reasoning and fuzzy rules to work out the focus.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/cset-16.2016.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Minghui Wang
AU  - Yongquan Yu
AU  - Ge Wei
AU  - Xiang Ren
AU  - Dan Liu
AU  - Yujing Wei
PY  - 2016/08
DA  - 2016/08
TI  - Research on Intelligent Detecting Technology Based on Extension Fuzzy Method
PB  - Atlantis Press
SP  - 80
EP  - 83
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.20
DO  - https://doi.org/10.2991/cset-16.2016.20
ID  - Wang2016/08
ER  -