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Adaptive agents in the House of Quality

Fent, Thomas (1999) Adaptive agents in the House of Quality. Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 43. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

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Managing the information flow within a big organization is a challenging task. Moreover, in a distributed decision-making process conflicting objectives occur. In this paper, artificial adaptive agents are used to analyze this problem. The decision makers are implemented as Classifier Systems, and their learning process is simulated by Genetic Algorithms. To validate the outcomes we compared the results with the optimal solutions obtained by full enumeration. It turned out that the genetic algorithm indeed was able to generate useful rules that describe how the decision makers involved in new product development should react to the requests they are required to fulfill. (author's abstract)

Item Type: Paper
Keywords: adaptive systems / artificial intelligence / classifier systems / genetic algorithms / house of quality / quality function deployment / total quality management
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Marketing > Service Marketing und Tourismus
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Depositing User: Repository Administrator
Date Deposited: 05 Mar 2002 13:01
Last Modified: 14 Sep 2010 23:54
URI: http://epub.wu.ac.at/id/eprint/1556


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