The Algorithm for Evaluation of Landscape Water Quality based on intuitionistic fuzzy sets of emphasizing hesitancy degree
Authors
HaiFeng Wang, Kun Zhang, Zhuang Li, HongXu Wang
Corresponding Author
HaiFeng Wang
Available Online March 2016.
- DOI
- 10.2991/icmmct-16.2016.366How to use a DOI?
- Keywords
- Intuitionistic fuzzy sets; Water quality analysis; Distance; New definition; New formula.
- Abstract
Distance measure of intuitionistic fuzzy sets(IFS) is a measure of the difference sizes between two IFS. The original distance measure definition is modified in this paper, the new distance measure definition and a new distance formula of IFS are provided. Pattern recognition method based on distance of intuitionistic fuzzy sets is used for researching on water quality analysis problem. That provides a new way for the study of the same problem. The method is simpler than the current method and the results are in line with the actual.
- Copyright
- © 2016, 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/).
Cite this article
TY - CONF AU - HaiFeng Wang AU - Kun Zhang AU - Zhuang Li AU - HongXu Wang PY - 2016/03 DA - 2016/03 TI - The Algorithm for Evaluation of Landscape Water Quality based on intuitionistic fuzzy sets of emphasizing hesitancy degree BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 1843 EP - 1847 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.366 DO - 10.2991/icmmct-16.2016.366 ID - Wang2016/03 ER -