Decision support for bus operations under uncertainty: a fuzzy expert system approach

Omega ◽  
1998 ◽  
Vol 26 (3) ◽  
pp. 367-380 ◽  
Author(s):  
Y-H Chang ◽  
C-H Yeh ◽  
J-H Cheng
Keyword(s):  
Decision Support ◽  
Expert System ◽  
System Approach ◽  
Fuzzy Expert System

Qualitative Evaluation of Engineering Designs Using Fuzzy Logic

1996 ◽  
Author(s):  
Rajkumar Roy ◽  
Ian C. Parmee ◽  
Graham Purchase
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Engineering Design ◽  
Evaluation System ◽  
Design Space ◽  
Qualitative Evaluation ◽  
Fuzzy Rules ◽  
Design Solution ◽  
Fuzzy Expert System ◽  
Adaptive Search

Abstract The paper describes a Qualitative Evaluation System developed using a fuzzy expert system. The evaluation system gives a qualitative rating to design solutions by considering manufacturability aspects, choice of materials and some special preferences. The information is used in decision support for engineering design. The system is an integrated part of a decision support tool for engineering design called the ‘Adaptive Search Manager’ (ASM). ASM uses an adaptive search technique to identify multiple design solutions for a 12 dimensional Turbine Blade Cooling System design problem. Thus the task has been to develop a fuzzy expert system that can qualitatively evaluate any design solution from a design space using a realistically small number of fuzzy rules. The developed system utilises a knowledge separation and then a knowledge integration technique. The design knowledge is first separated into three categories: inter variable knowledge, intra variable knowledge and heuristics. Inter variable knowledge and intra variable knowledge are integrated using a concept of “compromise”. The qualitative evaluation system can evaluate any design solution within the 12 dimensional design space, but uses only 44 fuzzy rules and one function that implements the inter variable knowledge.

On Sharp Boundary Problem in Rule Based Expert Systems in the Medical Domain

2010 ◽  
Vol 5 (3) ◽  
pp. 14-26
Author(s):  
Oladipupo O. Olufunke ◽  
Uwadia O. Charles ◽  
Ayo K. Charles
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Expert System ◽  
Boundary Problem ◽  
System Approach ◽  
Disease Risk ◽  
Fuzzy Expert System ◽  
Sharp Boundary ◽  
Rule Based

Recently, the application of the conventional rule based expert system for disease risk determination in medical domains has increased. However, a major limitation to the effectiveness of the rule based expert system approach is the sharp boundary problem that leads to underestimation or overestimation of boundary cases, which ultimately affects the accuracy of their recommendation. In this paper, an expert driven approach is used to investigate the viability of a fuzzy expert system in the determination of risk associated with coronary heart disease with regards to the sharp boundary problem in rule based expert system.

Decision Support Console for System Administration Based on an Expert System Approach

2009 ◽  
Author(s):  
Francisco Jose de la Torre ◽  
Laura Garcia Munoz ◽  
Roberto Gonzalez Barahona ◽  
Maite Avelino Carmona ◽  
Manuel Gil Perez
Keyword(s):  
Decision Support ◽  
Expert System ◽  
System Approach ◽  
System Administration
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