Identification of river water quality using the fuzzy synthetic evaluation approach.

By Ni-Bin Chang, Ho-Wen Chen, S. Ning. Journal of Environmental Management, 2001

338 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/8f76a9130838a6dd124af1a076655aae0e9a36c1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. C. Kahraman
2. Da Ruan
3. Cafer Erhan Bozdag
4. Metin Dagdeviren
5. Ihsan Yüksel
6. Tijen Ertay
7. Gülçin Büyüközkan
8. Rifat Gürcan Özdemir

In Water Science and Technology

1. Da Ruan
2. C. Kahraman
3. Cafer Erhan Bozdag

Citations in the corpus

• Risk assessment and validation of flood disaster based on fuzzy mathematics (2009, methodology): “Once the weights, membership functions, and the singlefactor matrix R are determined, three different fuzzy synthetic assessment methods (fuzzy comprehensive assessment, simple fuzzy classification, and the fuzzy similarity method) are selected [22–24].”
• Water quality index development using fuzzy logic: A case study of the Karoon River of Iran (2011, background): “Fuzzy logic has been tested with actual environmental issues (Chen and Chang, 2001).”
• Fuzzy group decision making for selection among computer integrated manufacturing systems (2003, methodology): “[26] present a comparative study using three fuzzy synthetic evaluation techniques to assess water quality conditions in comparison to the outputs generated by conventional procedures such as the Water Quality Index.”