Fuzzy extension for Kano's model using bacterial evolutionary algorithm

P. Földesi, L. Kóczy, J. Botzheim

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

5 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 nonlinear 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 publicationISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings
Pages147-151
Number of pages5
DOIs
Publication statusPublished - 2007
EventISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics - Agadir, Morocco
Duration: Mar 28 2007Mar 30 2007

Other

OtherISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics
CountryMorocco
CityAgadir
Period3/28/073/30/07

Fingerprint

Customer satisfaction
Evolutionary algorithms
Customer Satisfaction
Evolutionary Algorithms
Attribute
Subjective Evaluation
Power Function
Model
Customers
Classify
Numerical Examples
Resources
Target
Relationships

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Mathematics(all)

Cite this

Földesi, P., Kóczy, L., & Botzheim, J. (2007). Fuzzy extension for Kano's model using bacterial evolutionary algorithm. In ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings (pp. 147-151). [4218412] https://doi.org/10.1109/ISCIII.2007.367379

Fuzzy extension for Kano's model using bacterial evolutionary algorithm. / Földesi, P.; Kóczy, L.; Botzheim, J.

ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. p. 147-151 4218412.

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

Földesi, P, Kóczy, L & Botzheim, J 2007, Fuzzy extension for Kano's model using bacterial evolutionary algorithm. in ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings., 4218412, pp. 147-151, ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics, Agadir, Morocco, 3/28/07. https://doi.org/10.1109/ISCIII.2007.367379
Földesi P, Kóczy L, Botzheim J. Fuzzy extension for Kano's model using bacterial evolutionary algorithm. In ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. p. 147-151. 4218412 https://doi.org/10.1109/ISCIII.2007.367379
Földesi, P. ; Kóczy, L. ; Botzheim, J. / Fuzzy extension for Kano's model using bacterial evolutionary algorithm. ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings. 2007. pp. 147-151
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