Fuzzy solution for non-linear quality models

P. Földesi, L. T. Kóczy, J. Botzheim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

For designing and developing products/services it is vital to know the relevancy of the performance generated by each technical attribute and how they can increase customer satisfaction. Improving the parameters of technical attributes requires financial resources, and the budgets are generally limited. Thus the optimum target is to achieve maximum customer satisfaction within given financial limits. Kano's quality model classifies the relationships between customer satisfaction and attribute-level performance and indicates that some of the attributes have a non-linear relationship to satisfaction, rather power-function should be used. For the customers' subjective evaluation these relationships are not deterministic and are uncertain. This paper proposes a method for fuzzy extension of Kano's model and presents numerical examples that can prove the efficiency of bacterial evolutionary algorithm in as well.

Original languageEnglish
Title of host publication12th International Conference on Intelligent Engineering Systems - Proceedings, INES 2008
Pages269-275
Number of pages7
DOIs
Publication statusPublished - Sep 1 2008
Event12th International Conference on Intelligent Engineering Systems, INES 2008 - Miami, FL, United States
Duration: Feb 25 2008Feb 29 2008

Publication series

Name12th International Conference on Intelligent Engineering Systems - Proceedings, INES 2008

Other

Other12th International Conference on Intelligent Engineering Systems, INES 2008
CountryUnited States
CityMiami, FL
Period2/25/082/29/08

Keywords

  • Bacterial evolutionary algorithm
  • Fuzzy theory
  • Kano's model
  • Quality

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Software
  • Control and Systems Engineering

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  • Cite this

    Földesi, P., Kóczy, L. T., & Botzheim, J. (2008). Fuzzy solution for non-linear quality models. In 12th International Conference on Intelligent Engineering Systems - Proceedings, INES 2008 (pp. 269-275). [4481306] (12th International Conference on Intelligent Engineering Systems - Proceedings, INES 2008). https://doi.org/10.1109/INES.2008.4481306