模糊逻辑模型建立鱼类栖息地适宜度基准
模糊逻辑模型建立鱼类栖息地适宜度基准
韩京城，袁喜，涂志英，刘国勇，黄应平*
三峡库区生态环境教育部工程研究中心(三峡大学) ，443002，湖北宜昌
E-mail:
近年来，模糊逻辑方法以其在具有不确定信息或不确定关系问题的模型建立中所具有的优势已经应用在栖息地的评价模型之中。本文通过模糊逻辑的方法建立了裂腹鱼幼鱼时期的生境适宜度指数模型。通过野外调查和室内实验结果，结合有经验的鱼类学专家的模糊知识建立了关于生境因子和幼鱼生境适宜度模糊集合的隶属度函数和模糊推理规则。基于模糊逻辑建立的鱼类生境适宜度指数不仅充分运用了专家的模糊知识，并考虑了各个因子之间的相互作用，具有广泛的应用前景。
Fig. 2 Suitability index of velocity, water temperature and dissolved oxygen for juvenile Schizothoracinae
关键词：模糊逻辑；雅砻江；裂腹鱼；生境适宜度。
国家自然科学基金面上项目（No ：50979049）、国家自然科学基金“雅砻江水电开发联合研究基金”重点项目（No ：50639070-4）及湖北省高等学校优秀中青年科技创新团队计划（No: T200703）资助。
参考文献：
[1] Ahmadi-Nedushan, B., A. St-Hilaire, et al. River Research and Applications, 2006, 22(5): 503-523.
[2] Ahmadi-Nedushan, B., A. St-Hilaire, et al. River Research and Applications,2008,24(3): 279-292.
Habitat suitability criteria for fish Based on Fuzzy Logic
Jing-cheng Han, Xi Yuan, Zhi-ying Tu, Guo-yong Liu, Ying-ping Huang*
Engineering Research Center of Eco-environment in Three Gorges Reservoir
Region, Ministry of Education, China Three Gorges University, 443000, Hubei Yichang
In recent years, the method of fuzzy logic has been used in habitat evaluation model, because of its advantages in building model with uncertain information or relation. In this study, fuzzy logic approach was used for modelling the habitat suitability index of juvenile Schizothoracinae. According to the field observation, with the combination of fuzzy knowledge of experienced fish experts and technicians, membership functions of input variables and habitat suitability index and the fuzzy inference rules were established for juvenile. The results also demonstrate that fuzzy logic as a tool to assess the fish habitat suitability makes full use of the fuzzy knowledge of fish experts and takes the mutual effects of physical factors into consideration. There is great potential for fuzzy logic to the
application of evaluation of fish habitat quality.