A fuzzy logic based aggregation method for life cycle impact assessment

Feri Afrinaldi, Hong Chao Zhang

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


The objective of this paper is to propose an alternative methodology for normalization and aggregation in life cycle assessment (LCA). The proposed normalization approach is based on target on emission reduction and the aggregation approach is done through fuzzy inference system. A sensitivity analysis methodology is also presented in order to quantify the magnitude of change in index of total environmental improvement when quantity of a particular emission changes. Index of total environmental improvement of a product is computed by utilizing the proposed methodology in order to demonstrate its applicability. The results show that the methodology is simple and effective.

Original languageEnglish
Pages (from-to)159-172
Number of pages14
JournalJournal of Cleaner Production
StatePublished - Mar 15 2014


  • Aggregation
  • Fuzzy logic
  • LCA
  • Normalization


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