Notice of RetractionIdentifying Optimal Strategies for Environmental Management in the Mixed Fuzzy Stochastic Environment

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 study, a fuzzy-stochastic robust programming (FSRP) method was developed through the integration of chance-constrained programming (CCP) and fuzzy robust linear programming (FRLP) methods. It can explicitly handle dual uncertainties associated with solid waste management, which can be expressed as possibilistic and probabilistic distributions and can be directly communicated into the optimization process and resulting solution, enhancing robustness of decision making. Results of a representative case study in China indicate that useful solutions for planning municipal solid waste management practices have been generated. The compromise between optimality and stability of the study system, and the tradeoff between system costs and risk can be reflected with the introduction of uncertain parameters. In practical application, higher system costs will guarantee the lower risk of system violation, and lower system costs will run into higher probability of violation of some constraints, leading to the potential instability of the optimization system.