Decision making in fuzzy discrete event systems

F. Lin, H. Ying, Rodger David MacArthur, J. A. Cohn, D. Barth-Jones, L. R. Crane

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

The primary goal of the study presented in this paper is to develop a novel and comprehensive approach to decision making using fuzzy discrete event systems (FDES) and to apply such an approach to real-world problems. At the theoretical front, we develop a new control architecture of FDES as a way of decision making, which includes a FDES decision model, a fuzzy objective generator for generating optimal control objectives, and a control scheme using both disablement and enforcement. We develop an online approach to dealing with the optimal control problem efficiently. As an application, we apply the approach to HIV/AIDS treatment planning, a technical challenge since AIDS is one of the most complex diseases to treat. We build a FDES decision model for HIV/AIDS treatment based on expert's knowledge, treatment guidelines, clinic trials, patient database statistics, and other available information. Our preliminary retrospective evaluation shows that the approach is capable of generating optimal control objectives for real patients in our AIDS clinic database and is able to apply our online approach to deciding an optimal treatment regimen for each patient. In the process, we have developed methods to resolve the following two new theoretical issues that have not been addressed in the literature: (1) the optimal control problem has state dependent performance index and hence it is not monotonic, (2) the state space of a FDES is infinite.

Original languageEnglish (US)
Pages (from-to)3749-3763
Number of pages15
JournalInformation Sciences
Volume177
Issue number18
DOIs
StatePublished - Sep 15 2007

Fingerprint

Discrete Event Systems
Discrete event simulation
Decision making
Decision Making
Decision Model
Optimal Control Problem
Optimal Control
Fuzzy Decision Making
Performance Index
Monotonic
Resolve
State Space
Planning
Discrete event systems
Generator
Statistics
Dependent
Evaluation
Optimal control

Keywords

  • Decision making
  • Discrete event systems
  • Fuzzy logic
  • HIV/AIDS treatment
  • Optimal control

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

Lin, F., Ying, H., MacArthur, R. D., Cohn, J. A., Barth-Jones, D., & Crane, L. R. (2007). Decision making in fuzzy discrete event systems. Information Sciences, 177(18), 3749-3763. https://doi.org/10.1016/j.ins.2007.03.011

Decision making in fuzzy discrete event systems. / Lin, F.; Ying, H.; MacArthur, Rodger David; Cohn, J. A.; Barth-Jones, D.; Crane, L. R.

In: Information Sciences, Vol. 177, No. 18, 15.09.2007, p. 3749-3763.

Research output: Contribution to journalArticle

Lin, F, Ying, H, MacArthur, RD, Cohn, JA, Barth-Jones, D & Crane, LR 2007, 'Decision making in fuzzy discrete event systems', Information Sciences, vol. 177, no. 18, pp. 3749-3763. https://doi.org/10.1016/j.ins.2007.03.011
Lin F, Ying H, MacArthur RD, Cohn JA, Barth-Jones D, Crane LR. Decision making in fuzzy discrete event systems. Information Sciences. 2007 Sep 15;177(18):3749-3763. https://doi.org/10.1016/j.ins.2007.03.011
Lin, F. ; Ying, H. ; MacArthur, Rodger David ; Cohn, J. A. ; Barth-Jones, D. ; Crane, L. R. / Decision making in fuzzy discrete event systems. In: Information Sciences. 2007 ; Vol. 177, No. 18. pp. 3749-3763.
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