The Algorithm for Evaluation of Landscape Water Quality based on intuitionistic fuzzy sets of emphasizing hesitancy degree
HaiFeng Wang, Kun Zhang, Zhuang Li, HongXu Wang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.366How to use a DOI?
- Intuitionistic fuzzy sets; Water quality analysis; Distance; New definition; New formula.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - https://doi.org/10.2991/icmmct-16.2016.366 ID - Wang2016/03 ER -