國立虎尾科技大學 |

An extended fuzzy discrete event system for HIV/AIDS treatment regimen selection.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An extended fuzzy discrete event system for HIV/AIDS treatment regimen selection./
Author:	Wongsopanakul, Kiattisak.
Description:	157 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-06, Section: B, page: 3642.
Contained By:	Dissertation Abstracts International72-06B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3445217
ISBN:	9781124542096

An extended fuzzy discrete event system for HIV/AIDS treatment regimen selection.
Wongsopanakul, Kiattisak.

An extended fuzzy discrete event system for HIV/AIDS treatment regimen selection. - 157 p.

Source: Dissertation Abstracts International, Volume: 72-06, Section: B, page: 3642.

Thesis (Ph.D.)--Wayne State University, 2011.

HIV/AIDS is a global problem. Its treatment is dependent on the physician experts' opinion. A system which is capable of supporting the treatment decision will be desired. Recently, the HIV/AIDS treatment regimen selection system appeared in literature that utilized theory of fuzzy discrete event system (FDES) to capture the meaning of experts' knowledge; a form of consensus involving estimated points and type-1 fuzzy sets. The goal was to assign exact matching regimens as close as possible to those regimens preferred by the experts for patients. The system performance was 80% of satisfaction level with the 35 retrospective patients. Extracting experts' knowledge into the consensus forms would not be possible without being compromised by the experts. With equal respective experts, if one insists on his/her values, then the consensus would not be achieved. Conversely, the FDES theory would be no longer to handle such conflict. The theory of extended fuzzy discrete event system (EFDES) extended the FDES theory that type-2 fuzzy sets would be allowed to be used in the system. This dissertation is to apply the EFDES theory to the HIV/AIDS treatment regimen selection system. Seven scenarios of the diversity of experts' knowledge representation were categorized for the system. The MATLAB was implemented to model the system. Genetic algorithm in MATLAB's Direct Search Toolbox was used to search an optimal vector of 26 weights for system parameters regarding the experts' regimen-choices. As the same input of the retrospective patient data for the FDES-based system, the overall means of simulation results of EFDES-based system demonstrated the degree of matching regimens being 80%. That result would be the same performance level of the FDES-based system as well. The EFDES-based system performance with self-learning provided the overall satisfaction level of above 80%. Moreover, the EFDES-based system with use of the type-2 fuzzy set gained the benefit on the extraction of diverse and uncertainty experts' knowledge and expertise.

ISBN: 9781124542096Subjects--Topical Terms:

845382
Engineering, Electronics and Electrical.

An extended fuzzy discrete event system for HIV/AIDS treatment regimen selection.
LDR:03050nam 2200301 4500 001 712919
005 20121003100256.5
008 121101s2011 ||||||||||||||||| ||eng d
020 $a 9781124542096
035 $a (UMI)AAI3445217
035 $a AAI3445217
040 $a UMI $c UMI
100 1 $a Wongsopanakul, Kiattisak. $3 845383
245 1 3 $a An extended fuzzy discrete event system for HIV/AIDS treatment regimen selection.
300 $a 157 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-06, Section: B, page: 3642.
500 $a Adviser: Hao Ying.
502 $a Thesis (Ph.D.)--Wayne State University, 2011.
520 $a HIV/AIDS is a global problem. Its treatment is dependent on the physician experts' opinion. A system which is capable of supporting the treatment decision will be desired. Recently, the HIV/AIDS treatment regimen selection system appeared in literature that utilized theory of fuzzy discrete event system (FDES) to capture the meaning of experts' knowledge; a form of consensus involving estimated points and type-1 fuzzy sets. The goal was to assign exact matching regimens as close as possible to those regimens preferred by the experts for patients. The system performance was 80% of satisfaction level with the 35 retrospective patients. Extracting experts' knowledge into the consensus forms would not be possible without being compromised by the experts. With equal respective experts, if one insists on his/her values, then the consensus would not be achieved. Conversely, the FDES theory would be no longer to handle such conflict. The theory of extended fuzzy discrete event system (EFDES) extended the FDES theory that type-2 fuzzy sets would be allowed to be used in the system. This dissertation is to apply the EFDES theory to the HIV/AIDS treatment regimen selection system. Seven scenarios of the diversity of experts' knowledge representation were categorized for the system. The MATLAB was implemented to model the system. Genetic algorithm in MATLAB's Direct Search Toolbox was used to search an optimal vector of 26 weights for system parameters regarding the experts' regimen-choices. As the same input of the retrospective patient data for the FDES-based system, the overall means of simulation results of EFDES-based system demonstrated the degree of matching regimens being 80%. That result would be the same performance level of the FDES-based system as well. The EFDES-based system performance with self-learning provided the overall satisfaction level of above 80%. Moreover, the EFDES-based system with use of the type-2 fuzzy set gained the benefit on the extraction of diverse and uncertainty experts' knowledge and expertise.
590 $a School code: 0254.
650 4 $a Engineering, Electronics and Electrical. $3 845382
690 $a 0544
710 2 $a Wayne State University. $b Electrical Engineering. $3 845384
773 0 $t Dissertation Abstracts International $g 72-06B.
790 1 0 $a Ying, Hao, $e advisor
790 1 0 $a Lin, Feng $e committee member
790 1 0 $a Siy, Pepe $e committee member
790 1 0 $a Reddy, Chandan $e committee member
790 $a 0254
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3445217