Browse > Article

The Study of Criteria Weight for Taiwan National Quality Award by Fuzzy Hierarchical Analysis  

Li, Shao-Chang (Department of Business Administration Kao Yuan University)
Fu, Hsin-Pin (Institute of Marketing/Distribution Management National Kaohsiung First University of Science and Technology)
Publication Information
International Journal of Quality Innovation / v.7, no.2, 2006 , pp. 83-96 More about this Journal
Abstract
In this paper, fuzzy hierarchical analysis (FHA) is used to explore the process by which the criteria weights of the Taiwan National Quality Award (TNQA) are assigned by TNQA committee members. Each member is allowed to employ fuzzy scales in place of exact scales. Each pairwise comparison of criteria is made through a questionnaire from each TNQA committee member. The membership function of trapezoidal fuzzy numbers is introduced to specify TNQA committee members' intentions. After FHA, the reasonable range of each criterion weight of TNQA is determined. The current criteria weights of TNQA are properly verified.
Keywords
TQM; National Quality Award; Fuzzy Hierarchical Analysis;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Bonder, C. G. E., de Grann, J. G., Lootsma, F. A.(1989), 'Multicriteria decision analysis with fuzzy pairwise comparison,' Fuzzy Sets and Systems, Vol. 29, pp. 133-143   DOI   ScienceOn
2 Buckley, J. J.(1990), 'Fuzzy eigenvalues and input-output analysis,' Fuzzy Sets and Systems, Vol. 34, pp. 187-195   DOI   ScienceOn
3 Cheng, C. H. and Mon, D. L.(1994), 'Evaluating weapon system by AHP based on fuzzy scale,' Fuzzy Sets and Systems, Vol. 63, pp. 1-10   DOI   ScienceOn
4 Corporate Synergy Development Center (CSD), 2001. 2001 Taiwan National Quality Award Criteria Handbook. Taiwan, R.O.C
5 Labib, A. W., O'Connor, R. F. and Williams, G. B.(1998), 'Effective maintenance system using the analytical hierarchy process,' Integrated Manufacturing Systems, Vol. 9, No. 2, pp. 87-98   DOI   ScienceOn
6 Levary, R. R. and Ke, W.(1998), 'A simulation approach for handling uncertainty in the analytic hierarchy process,' European Journal of Operational Research, Vol. 106, No. 1, pp. 116-122   DOI   ScienceOn
7 Jung, C. H. and Lee, D. H.(1991), 'A fuzzy scale for measuring weight criteria in hierarchy structure,' Proceedings of the International Fuzzy Engineering Symposium, Yokohama, Japan, pp. 415-421
8 Akash, B. A., Mamlook, R., and Mohsen, M. S.(1999), 'Multi-criteria selection of electric power plants using analytical hierarchy process,' Electric Power Systems Research, Vol. 52, No. 1, 29-35   DOI   ScienceOn
9 Chen, S. M.(1996), 'Evaluating weapon systems using fuzzy arithmetic operations,' Fuzzy Sets and Systems, Vol. 77, pp. 265-276   DOI   ScienceOn
10 National Institute of Standards and Technology (NIST) (2001), Baldrige National Quality Program: Criteria for Performance Excellence, Gaithersburg, MD
11 Buckley, J. J.(1984), 'Fuzzy hierarchical analysis,' Fuzzy Sets and Systems, Vol. 17, pp. 233-247   DOI   ScienceOn
12 Ruoing, X. and Xiaoyan, Z.(1992), 'Extensions of the analytic hierarchy process in fuzzy environment,' Fuzzy Sets and Systems, Vol. 52, pp. 251-257   DOI   ScienceOn
13 Buckley, J. J. and Csutora, R.(2001), 'Fuzzy hierarchical analysis: the Lambda-Max method,' Fuzzy Sets and Systems, Vol. 120, pp. 181-195   DOI   ScienceOn
14 Buckley, J. J. and Uppuluri, V. R. R.(1984), 'Fuzzy hierarchical analysis,' in V. T. Covello, L.B. Lave, A. Moghissi, V.R.R. Uppuluri (Eds.), Uncertainty and Risk Assessment, Risk Management and Decision Making, Plenum, New York, pp. 389-401
15 Buckley, J. J.(1985), 'Ranking Alternatives using fuzzy numbers,' Fuzzy Sets and Systems, Vol. 15, No. 1, pp. 21-31   DOI   ScienceOn
16 Buckley, J. J.(1992), 'Solving fuzzy equations,' Fuzzy Sets and Systems, Vol. 50, pp. 1-14   DOI   ScienceOn
17 Saaty, T. L.(1980), The Analytical Hierarchy Process, McGraw-Hili, New York
18 Hauser, D. and Tadikamalla, P.(1996), 'The analytic hierarchy process in an uncertain environment: a simulation Approach,' European Journal of Operational Research, Vol. 91, No. 1, pp. 27-37   DOI   ScienceOn
19 VanLaarhoven, P. J. M. and Pedrycz, W.(1983), 'A fuzzy extension of Saaty's priority theorey,' Fuzzy Sets and Systems, Vol. 11, pp. 229-241   DOI   ScienceOn
20 Mohanty, B. K. and Singh, N.(1994), 'Fuzzy relational equations in analytical hierarchy process,' Fuzzy Sets and Systems, Vol. 63, pp. 11-19   DOI   ScienceOn
21 Salo, A. A.(1996), 'On fuzzy ratio comparisons in hierarchical decision models,' Fuzzy Sets and Systems, Vol. 84, pp. 21-32   DOI   ScienceOn