IJPAM: Volume 61, No. 3 (2010)
OF PRODUCTS USING FUZZY SETS
7777 Katy Fwy, #4103, Howston, TX 77024, USA, J.A. Domínguez-López
Probability and Statistics Research Group
Mathematics Research Center
P.O. Box 420, Guanajuato, 36000, MEXICO
e-mail: jorge@cimat.mx
Conteck, P.O. Box 27, Guanajuato, 36082, MEXICO
e-mail: axel@calest.org
Abstract.Improvement is a goal that is present in several of our daily
activities and projects. Currently, improvement is a necessity for
industrial processes. Optimization methods play a vital role to
achieve this goal, as these methods allow evaluating the existence
and significance of the improvement. In addition, these
methodologies are relevant in the planning of the strategy which
has to be followed in order to improve the process
characteristics. Thus, in this paper, four optimization methods
that utilize fuzzy set theory and multiple attribute decision
making are proposed. These have been shown to be more efficient
when comparing them through an example with other classic methods
of statistical optimization. An industrial example has been used
as a baseline for this comparison. The results are illustrated
using a graphic technique of optimization.
Received: March 15, 2010
AMS Subject Classification: 90-08
Key Words and Phrases: continuous improvement, optimization, regression models, experimental design, fuzzy optimization, level curves
Source: International Journal of Pure and Applied Mathematics
ISSN: 1311-8080
Year: 2010
Volume: 61
Issue: 3