Notice of RetractionFuzzy optimization model based on synthesizing effect and inequity degree

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.

In this paper, based on the structure of fuzzy information and the mechanism of fuzzy optimization, we propose the concept of quasi-linear fuzzy number; by distinguishing principal index and secondary indices, we give the comparison method based on synthesizing effect combining with the compound qualification strategy of fuzzy information; starting from the essence of constraints, we give a fuzzy optimization model based on synthesizing effect and inequity degree (BID & SE-FOM), and propose an instructive fuzzy genetic algorithm based on principal operation and quasi-linear fuzzy numbers(PO QL-FGA); Finally, we analyze the performance of PO QL-FGA by using Markov chain theory, and further explain the application of quasi-linear fuzzy numbers by a concrete example.