Fuzzy decision making in an agent-based model of non-industrial private forest owners
Document Type
Conference Proceeding
Publication Date
2-2-2018
Abstract
© 2017 IEEE. This paper presents the development and application of a fuzzy inference system (FIS) to an agent-based model of non-industrial private forest owner (NIPFO) timber harvesting activity. The FIS inputs and rules are developed based upon survey and literature data on NIPFOs and agents are embedded into a forested landscape similar to real conditions. Model results indicate harvesting patterns similar to what is actually observed. I argue that these encouraging results indicate the technique merits further development.
Publication Title
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
Recommended Citation
Zupko, R.
(2018).
Fuzzy decision making in an agent-based model of non-industrial private forest owners.
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings,
2018-January, 1-8.
http://doi.org/10.1109/SSCI.2017.8285222
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10936