Mathematical modeling of preference intensity of Japanese medaka for instream water environment using fuzzy inference
2003
Hiramatsu, K. (Kyushu Univ., Fukuoka (Japan)) | Fukuda, S. | Shikasho, S.
Abstract Fish behavior is essentially vague and the behavioral responses to an environmental change vary widely among both individuals and circumstances, which suggests a necessity to positively take the uncertainty into consideration when constructing preference intensity models to environmental factors. In this research, the essential vagueness of behavioral responses of Japanese Medaka (Oryzias latipes) was positively taken into consideration and the preference intensities of Japanese Medaka to the three environmental factors of water depth, current velocity and cover were quantified by fuzzy logic modeling and laboratory open-channel experiments. A simple genetic algorithm was introduced to search for an optimal structure of a preference intensity model. The fuzzy preference intensity model was then successfully verified by laboratory water-tank experiments and on-the-spot examinations. The results indicated that the fuzzy preference intensity model showed a good agreement between the predicted and observed distributions of Japanese Medaka and that current velocity strongly affected the environmental preference intensity of Japanese Medaka.
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