By Topic

Notice of Retraction
A unique approach to multi-factor decision making by combining hierarchical analysis with error analysis

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
$31 $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

2 Author(s)
Iranzadeh, S. ; Islamic Azad Univ., Tabriz, Iran ; Chakherlouy, F.

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting

The object of this research is to enhance effectiveness, and obtain more logical output data from the multi-criteria decision-making methodology through mixing the analytic hierarchy process (AHP) with the failure modes and effects analysis (FMEA). In the analytic hierarchy process method, the parameters of interest are ranked through specific matrix vectors after compiling and defining the objectives, alternatives and weighting for each parameter by pairwise comparison. All of the many ranking methods that have been designed on the basis of mathematical logic put the emphasis on the weight of each factor. What distinguishes the order analysis method from the others is the use of quantitative rather than qualitative parameters and pairwise comparison, in which the ranking accuracy is confirmed by the analyst. In this research, we succeeded to generate a favorable combination from the two mentioned methods, and rank the criteria of FMEA within the mold of AHP, and observe that the achieved results fully conform to the actual system.

Published in:

Advanced Management Science (ICAMS), 2010 IEEE International Conference on  (Volume:3 )

Date of Conference:

9-11 July 2010