Notice of RetractionDecision method based on relational synthetic analysis

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 TPII@ieee.org.

Often in face of deciding schemes with many factors in production and life, relational analysis of the factors is an important basis of decision. The decision method is analyzed and studied to avoid strong subjectivity and improve weighting rationality. Optimization and entropy of information are used to adjust the weighting values of each factor and BP neural network to learn how to train assignment. According to principles of gray relation, a decision method based on gray relational synthetic analysis has been proposed, the decision model established and decision processing algorithm designed. The simulation with Matlab software proves the decision result is correct, which realizes the purpose of decision in the condition of multiple factors.