—There are three issues: 1) ecological effects quotient is a low-level toxicity risk estimate for chemical pressure because it uses a simple number to represent a complex biological problem; 2) besides biological toxicity, species future status is also relevant to physical and biological pressures which are difficult to express by ecological effects quotient; 3) we need a higher level methodology to consider all ecological pressures. To address the issues, this study has five objectives: 1) to design the ecological risk procedure for Bayesian belief networks (BBN) approach; 2) to represent the relationships between physical, chemical and biological pressures and effects with BBN; 3) to construct conditional probabilities in BBN by fuzzy logic; and 4) study case.
—Bayesian belief networks, fuzzy logic, aquatic ecological risk.
K. F. R. Liu (Corresponding author) is with the Department of Safety, Health and Environmental Engineering, Ming Chi University of Technology, New Taipei City, Taiwan (e-mail: email@example.com).
K. Yeh is with the Department of Construction Science and Technology, De-Lin Institute of Technology, New Taipei City, Taiwan (e-mail: firstname.lastname@example.org).
C. W. Chen is with the Institute of Maritime Information and Technology, National Kaohsiung Marine University, Kaohsiung, Taiwan (e-mail: email@example.com).
H. H. Liang is with the Department of Architecture, National United University, Miaoli, Taiwan (e-mail: firstname.lastname@example.org).
Y. S. Shen is with the Holistic Education Center, Mackay Medical College, New Taipei City, Taiwan (e-mail: email@example.com).
Cite:Kevin Fong-Rey Liu, Ken Yeh, Cheng-Wu Chen, Han-Hsi Liang, and Yung-Shuen Shen, "Using Bayesian Belief Networks and Fuzzy Logic to Evaluate Aquatic Ecological Risk," International Journal of Environmental Science and Development vol. 4, no. 4, pp. 419-424, 2013.