Abstract
In this paper, we discuss fully fuzzy linear fractional programming (FFLFP) problems under fuzzy nature with triangular fuzzy numbers. We recommend a simple method for the solution of FFLFP ...problems which preserves the fuzzy nature of the problem. The efficiency of the method proposed is illustrated with an example.
Biopower development is essential to sustain energy security, but its high development cost and long payback period discourage the willingness of such a development at the beginning stage. Government ...subsidy is generally necessary to effectively and efficiently utilize energy resources and promote biopower production. This study formulates a sectoral, price endogenous mathematical programming model to investigate the impacts of tiered electricity subsidy policy on biopower production. It examines how such development paths would vary due to fast-changing emission prices. The results show that government subsidies would have a more significant effect on biopower production than the changes in emission price because the economic benefit from energy sales and received subsidies outweigh the benefits from emission trade, thereby preventing the producers from switching to more environmentally friendly biopower processing technologies. However, an increase in emission price would encourage total emission reduction in the cost of declination in biopower production. Under such circumstances, biopower production would decline from 14,400 to 9600 GWh. The study also points out that in the face of budget constraints, approximately 60–70% of the subsidy will be received by producers using energy crops such as sweet potatoes, which have more excellent supply and lower processing costs.
•Biopower supply is sensitive to subsidy design and market conditions.•A tradeoff between biopower and emission offset occurs at a high emission price.•Investments in residual-based biopower is riskier than crop-based technology.•The establishment of an emission trade system is critical to biopower development.
A key element to enhance urban distribution is the adequate management of parking space, particularly for loading and unloading operations. An in-advance booking system able to be adjusted to users ...needs can be a very useful tool for city councils. Such a tool should be fed with criteria for allocating requests to time slots. In this paper we discuss alternative criteria for the parking slot assignment problem for urban distribution and we propose the use of mathematical programming formulations to model them. Several models are proposed, analyzed and compared among them. Extensive computational experience is presented with a detailed analysis and comparison, which provides quantitative indicators of the quality of each of the proposed models.
•We define the parking slot problem assignment for urban distribution.•We propose alternative models according to different optimization criteria.•Extensive computational results are presented and analyzed.•Quantitative indicators of the quality of each model are introduced.
On the basis of arcwise connected convex functions and (p, r) −η - invex functions, we established Hb –(p, r) –η- invex functions. Based on the generalized invex assumption of new functions, the ...solutions of a class of multiobjective fractional programming problems are studied, and the sufficient optimality condition for the feasible solutions of multiobjective fractional programming problems to be efficient solutions are established and proved.
In this paper, a class of E-differentiable multiobjective programming problems with both inequality and equality constraints is considered. The so-called vector Mond-Weir E-dual problem and vector ...mixed E-duality problem are defined for the considered E-differentiable multiobjective programming problem with both inequality and equality constraints and several Mond-Weir and mixed E-duality theorems are established under (generalized) E-invexity hypotheses.
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