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

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