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

Nicholas Hanlon; Manish Kumar; Kelly Cohen; Benjamin Tyler

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

Nicholas Hanlon, Manish Kumar, Kelly Cohen, Benjamin Tyler

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	AIAA Infotech at Aerospace Conference and Exhibit 2011
Publication status	Published - Dec 1 2011
Event	AIAA Infotech at Aerospace Conference and Exhibit 2011 - St. Louis, MO, United States Duration: Mar 29 2011 → Mar 31 2011

Publication series

Name	AIAA Infotech at Aerospace Conference and Exhibit 2011

Other

Other	AIAA Infotech at Aerospace Conference and Exhibit 2011
Country	United States
City	St. Louis, MO
Period	3/29/11 → 3/31/11

ASJC Scopus subject areas

Engineering(all)

Fingerprint Dive into the research topics of 'Fuzzy-based approaches to decision making and resource allocation during wildland fires'. Together they form a unique fingerprint.

Cite this

@inproceedings{bb62b826ff7d4026bd5af4515b5c7256,

title = "Fuzzy-based approaches to decision making and resource allocation during wildland fires",

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.",

author = "Nicholas Hanlon and Manish Kumar and Kelly Cohen and Benjamin Tyler",

year = "2011",

month = dec,

day = "1",

language = "English",

isbn = "9781600869440",

series = "AIAA Infotech at Aerospace Conference and Exhibit 2011",

booktitle = "AIAA Infotech at Aerospace Conference and Exhibit 2011",

note = "AIAA Infotech at Aerospace Conference and Exhibit 2011 ; Conference date: 29-03-2011 Through 31-03-2011",

}

TY - GEN

T1 - Fuzzy-based approaches to decision making and resource allocation during wildland fires

AU - Hanlon, Nicholas

AU - Kumar, Manish

AU - Cohen, Kelly

AU - Tyler, Benjamin

PY - 2011/12/1

Y1 - 2011/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84880765501&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880765501&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84880765501

SN - 9781600869440

T3 - AIAA Infotech at Aerospace Conference and Exhibit 2011

BT - AIAA Infotech at Aerospace Conference and Exhibit 2011

T2 - AIAA Infotech at Aerospace Conference and Exhibit 2011

Y2 - 29 March 2011 through 31 March 2011

ER -