By Topic

A global optimization method for fuzzy analytic hierarchy process with application to New Product Development project screening

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Kuo-Ping Chiao ; Dept. of Ind. Manage. & Enterprise Inf., Aletheia Univ., Taipei, Taiwan

A global optimization method for linear programming for finding the fuzzy priority vector in fuzzy analytic hierarchy process(AHP) is developed in this paper. Some rigorous mathematical definition and theorems for the optimization method are stated and proved. Instead of performing complicated computations, the graphical approach([18, p.30]) is used to find the fuzzy priority vector for the fuzzy pairwise comparison matrix(FPCM). This graphical approach is applied to New Product Development (NPD) project screening, which is a multiple criteria decision making(MCDM) problem. NPD is largely uncertain, because of competition accompanied with modern technology and market changes. It always leads to failure of new product development. The final project screening decision is obtained from the overall global fuzzy rates of the projects with respect to the screening criteria.

Published in:

Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on

Date of Conference:

29-31 Oct. 2010