A Linear Goal Programming Model for Weight Calculation in Fuzzy AHP and its Application in Product Development

Article Preview

Abstract:

The key issue of FAHP application is how to derive fuzzy weights from fuzzy pairwise comparison matrix. The most of applications, however, were founding avoiding the use of sophisticated approaches such as fuzzy least squares method and using a simple extent analysis method to derive fuzzy weight from pairwise comparison matrix for the sake of simplicity. But the extent analysis method proves to be incorrect and may lead to a wrong decision result. So, this paper proposes a sound yet simple linear goal programming model to derive weights from pairwise fuzzy comparison matrix, which takes minimizing inconsistence degree of comparison matrix as objective and obtain a normalized weight vector finally. The proposed model is validated by an application to new product development scheme screening decision making.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 118-120)

Pages:

712-716

Citation:

Online since:

June 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. J. M. Laarhoven, W. Pedrycz. A fuzzy extension of satty's priority theory. Fuzzy Sets and Systems, 1983, 11: 229-241.

DOI: 10.1016/s0165-0114(83)80082-7

Google Scholar

[2] J. J. Buckley. Fuzzy hierarchical analysis process. Fuzzy Sets and Systems, 1985, 17: 233-247.

DOI: 10.1016/0165-0114(85)90090-9

Google Scholar

[3] S. H. Chen. Ranking fuzzy numbers with maximizing set and minimizing set. Fuzzy Sets and Systems, 1985, 17: 113-129.

DOI: 10.1016/0165-0114(85)90050-8

Google Scholar

[4] R. Xu, X. Zhai. Fuzzy logarithmic least squares ranking method in analytic hierarchy process. Fuzzy Sets and Systems, 1996, 77: 175-190.

DOI: 10.1016/0165-0114(95)00073-9

Google Scholar

[5] Y. M. Wang, T. M. S. Elhag. On the normalization of interval and fuzzy weights. Applied Mathematics and Computation, 2006, 181(2) : 1257-1275.

Google Scholar

[6] Y. M. Wang, J. B. Yang, D. L. Xu. On the centroids of fuzzy numbers. Fuzzy Sets and Systems, 2006, 157(7): 919-926.

DOI: 10.1016/j.fss.2005.11.006

Google Scholar