Fuzzy Risk-Based Life Cycle Assessment for Estimating Environmental Aspects in EMS
Environmental aspects plays a central role in environmental management system (EMS) because it is the basis for the identification of an organization-s environmental targets. The
existing methods for the assessment of environmental aspects are grouped into three categories: risk assessment-based (RA-based),
LCA-based and criterion-based methods. To combine the benefits of
these three categories of research, this study proposes an integrated framework, combining RA-, LCA- and criterion-based methods. The
integrated framework incorporates LCA techniques for the identification of the causal linkage for aspect, pathway, receptor and
impact, uses fuzzy logic to assess aspects, considers fuzzy conditions,
in likelihood assessment, and employs a new multi-criteria decision analysis method - multi-criteria and multi-connection comprehensive
assessment (MMCA) - to estimate significant aspects in EMS. The proposed model is verified, using a real case study and the results show
that this method successfully prioritizes the environmental aspects.
[1] P├Áder T, 2006. Evaluation of environmental aspects significance in ISO
14001. Environmental Management 37 (5): 732-743.
[2] Monavari M, Fard SMB, 2011. Application of network method as a tool for integrating biodiversity values in Environmental Impact Assessment.
Environmental Monitoring and Assessment 172 (1-4): 145-156.
[3] Zadeh LA, 1996. Fuzzy logic=computing with words. IEEE Transactions
on Fuzzy Systems 4 (1): 103-111.
[4] DEFRA, 2002. Guidelines for Environmental Risk Assessment and
Management.
(http://www.defra.gov.uk/Environment/risk/eramguide/index.htm).
[5] Dong W, Shah HC, 1987. Vertex method for computing functions of
fuzzy variables. Fuzzy Sets and Systems 24(1): 65-78.
[1] P├Áder T, 2006. Evaluation of environmental aspects significance in ISO
14001. Environmental Management 37 (5): 732-743.
[2] Monavari M, Fard SMB, 2011. Application of network method as a tool for integrating biodiversity values in Environmental Impact Assessment.
Environmental Monitoring and Assessment 172 (1-4): 145-156.
[3] Zadeh LA, 1996. Fuzzy logic=computing with words. IEEE Transactions
on Fuzzy Systems 4 (1): 103-111.
[4] DEFRA, 2002. Guidelines for Environmental Risk Assessment and
Management.
(http://www.defra.gov.uk/Environment/risk/eramguide/index.htm).
[5] Dong W, Shah HC, 1987. Vertex method for computing functions of
fuzzy variables. Fuzzy Sets and Systems 24(1): 65-78.
@article{"International Journal of Earth, Energy and Environmental Sciences:49985", author = "Kevin Fong-Rey Liu and Ken Yeh and Cheng-Wu Chen and Han-Hsi Liang", title = "Fuzzy Risk-Based Life Cycle Assessment for Estimating Environmental Aspects in EMS", abstract = "Environmental aspects plays a central role in environmental management system (EMS) because it is the basis for the identification of an organization-s environmental targets. The
existing methods for the assessment of environmental aspects are grouped into three categories: risk assessment-based (RA-based),
LCA-based and criterion-based methods. To combine the benefits of
these three categories of research, this study proposes an integrated framework, combining RA-, LCA- and criterion-based methods. The
integrated framework incorporates LCA techniques for the identification of the causal linkage for aspect, pathway, receptor and
impact, uses fuzzy logic to assess aspects, considers fuzzy conditions,
in likelihood assessment, and employs a new multi-criteria decision analysis method - multi-criteria and multi-connection comprehensive
assessment (MMCA) - to estimate significant aspects in EMS. The proposed model is verified, using a real case study and the results show
that this method successfully prioritizes the environmental aspects.", keywords = "Environmental management system, environmental aspect, risk assessment, life cycle assessment.", volume = "6", number = "5", pages = "231-5", }