Author_Institution :
Meteorol. Obs. Centre, China Meteorol. Adm., Beijing, China
Abstract :
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.
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In the fuzzy multi-objective decision-making process of solar investment project, the weight factors information is sometimes difficult or impossible to ascertain in advance. With the membership degree linear weighted programming method, the solar investment fuzzy multi-objective decision-making is researched in the incomplete weight factors information case. First, the unknown weight factors multi-objective decision making problems are converted to equivalent non-linear programming problem, and the corresponding Lagrange function is constructed, and the optimal solution meeting the nonnegative constraint conditions is obtained, and then objective comparative membership degree linear weighted average of integrated values of all projects are obtained and they are sorted with the value. Three different solar investment projects are proposed according to monocrystalline silicon, polycrystalline silicon and amorphous silicon solar cells. Six factor indicators are selected, including investment costs, operating costs, economic benefits, state taxation, environmental benefits, system reliability, in which economic benefits is calculated on the basis of annual global solar radiation forecast value based on GM (1,1) gray prediction model. The two cases, completeness unknown of weight factors and smattering information of weight factors, are discussed separately. The final evaluation results are consistent with the actual situation and human judgment.
Keywords :
decision making; investment; nonlinear programming; solar cells; Lagrange function; amorphous silicon solar cell; economic benefit; environmental benefit; fuzzy multiobjective decision making method; investment cost; monocrystalline silicon solar cell; nonlinear programming problem; operating cost; polycrystalline silicon solar cell; solar investment project evaluation; state taxation; system reliability; weight factor information; Biological system modeling; Decision making; Economics; Investments; Predictive models; Silicon; Solar energy; fuzzy multiobjective decision making; incomplete weighting factors; solar investment project;
