Fuzzy-based approaches to decision making and resource allocation during wildland fires

Nicholas Hanlon, Manish Kumar, Kelly Cohen, Benjamin Tyler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes two different methods of implementing fuzzy logic to improve upon the decision-making and resource allocation during a wildland fire. The problem is based on previous work of implementing neural dynamic programming in the theater-missile defense problem. The scenario was modified to the parameters of a wildland fire and extended to include multiple layers of defense. In addition, three uncertainty cases were introduced with incomplete knowledge of the environment. The control methodologies were critiqued by the remaining health of the assets and the execution time. The neuro-fuzzy dynamic programming and fuzzy-heuristic approaches showed superior results in both certainty and uncertainty cases while being robust to system complexity.

Original languageEnglish
Title of host publicationAIAA Infotech at Aerospace Conference and Exhibit 2011
Publication statusPublished - Dec 1 2011
EventAIAA Infotech at Aerospace Conference and Exhibit 2011 - St. Louis, MO, United States
Duration: Mar 29 2011Mar 31 2011

Publication series

NameAIAA Infotech at Aerospace Conference and Exhibit 2011

Other

OtherAIAA Infotech at Aerospace Conference and Exhibit 2011
CountryUnited States
CitySt. Louis, MO
Period3/29/113/31/11

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Hanlon, N., Kumar, M., Cohen, K., & Tyler, B. (2011). Fuzzy-based approaches to decision making and resource allocation during wildland fires. In AIAA Infotech at Aerospace Conference and Exhibit 2011 (AIAA Infotech at Aerospace Conference and Exhibit 2011).