Abstract
Basin eco-environmental quality evaluation is an important adjust and control measure for coordinating pressure, state and response factors of basin eco-environmental system, and achieving basin sustainable development. The difficulty is how to determine weights of evaluation indexes with reason, and how to effectively deal with fuzziness and randomness existing in the evaluation process. For this reason, a fuzzy pattern recognition model based on maximum information entropy principle and genetic algorithm was proposed, which formed a new model, named EFPR-EQEB for short. The applied result of Chaohu basin shows that as a method for basin eco-environmental quality evaluation with distinct concept of mathematics and physics, EFPR-EQEB is concise and general. Its computation result is objective and reasonable, so it can be widely applied in different resources and environment comprehension evaluation.
| Original language | English |
|---|---|
| Pages (from-to) | 5-9 |
| Number of pages | 5 |
| Journal | Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition) |
| Volume | 38 |
| Issue number | 1 |
| Publication status | Published - Jan 2006 |
| Externally published | Yes |
Keywords
- Basin eco-environmental quality evaluation
- Chaohu basin
- Fuzzy pattern recognition
- Genetic algorithm
- Maximum information entropy principle