Towards Data-Driven Environmental Planning and Policy Design - Leveraging Fuzzy Logic to Operationalize a Planning Framework

Amir Pourabdollah, Christian Wagner, Simon Miller, Michael Smith, Ken Wallace

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)


Environmental planning is complex, and requires careful consideration of a large number of factors, including quantitative ones (e.g., water balance) and qualitative ones (e.g., heterogeneous stakeholder input). To better integrate these factors, value-driven frameworks have been designed in the environmental conservation community. These frameworks are currently largely utilized manually by conservation and policy experts in order to inform policy design. In this paper, we present a fuzzy logic based system, which has been developed to operationalize the existing manual framework while preserving essential qualities, including the capture of uncertainty in the data sources and a consistent interpretability of the underlying automatic reasoning mechanisms. We provide a detailed description of the current implementation which can be applied in the operationalization of policy design and planning tasks in a range of natural resources management cases, followed by a set of concrete, practical outputs for a studied use case in Western Australia. Finally, we highlight remaining limitations and future work.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Fuzzy Systems
Place of PublicationChina
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Print)1544-5615
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Fuzzy Systems - Beijing, China
Duration: 6 Jul 201411 Jul 2014


Conference2014 IEEE International Conference on Fuzzy Systems
City Beijing

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