Eine neue Methode des unscharfen Schließens für Expertensysteme
type: CreativeWork
description: Many cardiac diseases are treated with electronic implants today. Typical implants are pacemakers and implantable cardioverter defibrillators (ICD). As a preferable therapeutic treatment the implants have been developed to highly programmable electronic devices in the recent decades. CWA GmbH, Aachen, Germany, develops in cooperation with the „Innere Medizin I” of the clinical center in Aachen, Germany, and the BIOTRONIK GmbH, Berlin, Germany, expert systems for programming such devices, enabling the physicians to program the devices by using their medical jargon rather than in terms of technical parameters. Thus, devices programming without detailed technical know how on the devices is possible. Topic of this thesis is the modeling and implementation of unprecise human expert knowledge within expert systems. Existing techniques are presented, above all the Bayes theorem, the Dempster Shafer theory and the theory of Certainty Factors. As one of the most important techniques to implement unprecise knowledge the Fuzzy Set Theory and Fuzzy Control in particular are discussed more detailed. The Fuzzy methods do not only distinguish themselves as important and suitable techniques, but show up with some problems when dealing with huge knowledge bases with hundreds of rules too. These problems are presented and discussed in detail. A new idea of this thesis is an extension to the existing Fuzzy Set Theory, which provides the possibility to efficiently implement, verify and validate unprecise knowledge in huge knowledge bases, while simultaneously increasing the accuracy (in the sense of the formulated human knowledge) and reducing the required calculation power. The new technique is called Scalar Fuzzy Control. It provides the possibility to directly implement human expert knowledge which deals with real data values (i.e. scalar values), instead of transforming them into multi-dimensional linguistic variables and matrices. In order to implement unprecise knowledge on the s…
abstract: Many cardiac diseases are treated with electronic implants today. Typical implants are pacemakers and implantable cardioverter defibrillators (ICD). As a preferable therapeutic treatment the implants have been developed to highly programmable electronic devices in the recent decades. CWA GmbH, Aachen, Germany, develops in cooperation with the „Innere Medizin I” of the clinical center in Aachen, Germany, and the BIOTRONIK GmbH, Berlin, Germany, expert systems for programming such devices, enabling the physicians to program the devices by using their medical jargon rather than in terms of technical parameters. Thus, devices programming without detailed technical know how on the devices is possible. Topic of this thesis is the modeling and implementation of unprecise human expert knowledge within expert systems. Existing techniques are presented, above all the Bayes theorem, the Dempster Shafer theory and the theory of Certainty Factors. As one of the most important techniques to implement unprecise knowledge the Fuzzy Set Theory and Fuzzy Control in particular are discussed more detailed. The Fuzzy methods do not only distinguish themselves as important and suitable techniques, but show up with some problems when dealing with huge knowledge bases with hundreds of rules too. These problems are presented and discussed in detail. A new idea of this thesis is an extension to the existing Fuzzy Set Theory, which provides the possibility to efficiently implement, verify and validate unprecise knowledge in huge knowledge bases, while simultaneously increasing the accuracy (in the sense of the formulated human knowledge) and reducing the required calculation power. The new technique is called Scalar Fuzzy Control. It provides the possibility to directly implement human expert knowledge which deals with real data values (i.e. scalar values), instead of transforming them into multi-dimensional linguistic variables and matrices. In order to implement unprecise knowledge on the s…
author: Mlynski, Michael Frank
language: ger
keywords: info:eu-repo/classification/ddc/004, Informatik, Expertensystem, Fuzzy Logik, Fuzzy Control, SFC
date published: 2003
date modified: 2026-07-30T19:43:10Z
provider: RWTH Aachen University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Klinkenberg