A study on the analysis of Service Quality attribute using Fuzzy numbers in Public sector

퍼지수를 이용한 공공부문의 서비스 품질 속성분석에 관한 연구

  • 이석훈 (한양대학교 산업공학과) ;
  • 김용필 (한양대학교 산업공학과) ;
  • 윤덕균 (한양대학교 산업공학과)
  • Published : 2004.12.01

Abstract

This paper proposed a new method to evaluate service quality attribute of perceived service quality in public sectors, using triangle fuzzy numbers and hamming distance. Our method measured the ratio of the expected and perceived service for the customers' perceived service quality. By using fuzzy numbers, This method not only overcomes linguistic variable problems but also provides more objective and direct information for service quality attributes. The discrepancy rate between expected service and perceived service that is perceived service quality is evaluated by hamming distance. To evaluate the discrepancy rate from hamming distance, we induced general solutions to compute the intersection area between two triangle fuzzy numbers and the weak or strong attributes in public sectors are clarified.

Keywords

References

  1. 이석훈, 윤덕균; '퍼지수를 이용한 서비스품질 측정', 산업경영시스템학회 2004년도 춘계학술대회, 경원대학교 성남, 2004
  2. Chien C., Tsai H., Using fuzzy numbers to evaluate perceived service quality, Fuzzy Sets and Systems, Vol.116, pp.289-300, 2000
  3. Cronin J. J., Taylor A. Steven, Measuring Service Quality : Reexamination and Extension, Journal of Marketing, Vol.56, July, pp.55-68, 1992
  4. Hsu T., Chu K., Using fuzzy numbers to evaluate Air Transportation service quality, International Journal of Fuzzy Systems, Vol.5, No 3, September, 2003
  5. Nunnally, Jim C., Psychometric Theory, New York: McGraw-Hill Book Company, 1978
  6. Parasuraman, A., Zeithaml, V. A., and Berry, L. L., A conceptual model of service quality and its implications for future research, Journal of Marketing, Vol.49, Fall, pp.41-50, 1985
  7. Parasuraman, A., Zeithaml, V. A., and Berry, L. L., SERVQUAL: a multiple item scale for measuring customer perceptions of service quality, Journal of Retailing, Vol.64, Spring, pp.12-40, 1988
  8. Poister T. H., Henry G. T., Citizen ratings of public and private service quality : A comparative perspective, Public Administration Review, 54(2), pp.156, 1994
  9. Scott D., Shieff D., Service quality and group criteria in Local government, Industrial Journal of Service quality, 4(4), pp.42-53, 1993
  10. Shyi-Ming Chen, Evaluating weapon systems using fuzzy arithmetic operations, Fuzzy sets and systems, No.77, pp.265-276, 1996
  11. Seok-hoon, Lee, Yong-Pil Kim, Nigel Hemmington, Deok-Gyun Yun, Competitive service quality improvement(CSQI) : a case study in the fast-food industry, Food Service Technology, Vol.4, No.2, pp.75-84, 2004 https://doi.org/10.1111/j.1471-5740.2004.00093.x
  12. Teas, R. Kenneth, Expectation, Performance Evaluation and customer' Perception of Quality, Journal of Marketing, Vol.57, pp.18-34, 1993
  13. Tsaur S., Tzeng G., Wang K., Evaluating tourist risks from fuzzy perspectives, Annals of Tourism Research, Vol.24, No 4, pp.796-812, 1997
  14. Yong-Pil Kim, Kye-Wan Kim, Deok-Gyun Yun, Exploration and Development of SERVQUAL, The Asian Journal on Quality, Vol.4, No.1, pp.116-130, 2003
  15. Yong-Pil Kim, Seok-hoon, Lee, Deok-Gyun Yun, Integrating current and competitive service-quality level analyses for service-quality improvement programs, Managing Service Quality, Vol.14, No.4, pp.288-296, 2004 https://doi.org/10.1108/09604520410546824
  16. Zadeh L. A., Fuzzy set as a basis for a theory of possibility, Fuzzy set and systems, No.1, pp.3-28, 178