The operational problems of a reservoir are expressed by three coordinates: space, time stage, and objective. The operational procedure is formulated using dynamic programming as a multi-objective problem. After compa...
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The operational problems of a reservoir are expressed by three coordinates: space, time stage, and objective. The operational procedure is formulated using dynamic programming as a multi-objective problem. After comparing the scalar and the vector optimization, the scalar optimization technique is applied to turbidity analysis in a reservoir.
This paper is aimed at casting new light on the assessment of secondary schools' performance in Portugal by considering data from the Programme for International Student Assessment 2015. We use the Weighted Russel...
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This paper is aimed at casting new light on the assessment of secondary schools' performance in Portugal by considering data from the Programme for International Student Assessment 2015. We use the Weighted Russel Directional Distance approach and establish an equivalence model between this Data Envelopment Analysis model and the super-ideal point model, which is then combined with an interactive algorithm. Besides, a procedure to perform robustness analysis has been proposed, allowing decision-makers to understand how sensitive the efficiency of each school to data variation is. Overall, our findings suggest that the average efficient public school has mean scores across all competences above the scores attained by the average public national school, but below the OECD average. In addition, we have concluded that schools operating with the lowest efficiency scores usually need to make a greater effort to improve results in reading when compared to maths and science competences. Finally, schools more often selected as a reference in terms of best practices and which are classified as robust in terms of efficiency are not necessarily performing with high test results, highlighting the need of seeking new benchmarks more consistent with the preferences of the decision-maker.
In this study, we established appropriate duality results for a pair of Wolfe and Mond-Weir type symmetric dual for nonlinear programming problems in complex spaces under second order F-univexity, Funicavity/ F-pseudo...
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In this study, we established appropriate duality results for a pair of Wolfe and Mond-Weir type symmetric dual for nonlinear programming problems in complex spaces under second order F-univexity, Funicavity/ F-pseudounivexity, F-pseudounicavity . Results of this paper are real extension of previous literature.
Project scheduling problem is mainly to determine the schedule of allocating resources in order to balance the total cost and the completion *** paper chiefly uses chance theory to introduce project schedul- ing probl...
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Project scheduling problem is mainly to determine the schedule of allocating resources in order to balance the total cost and the completion *** paper chiefly uses chance theory to introduce project schedul- ing problem with mixed uncertainty of hybrid variable. Firstthree types of hybrid single-objective program- ming models as expected value model,maximax chance- constrained model and dependent chance-constrained model are established to meet different management re- quirements,then they are extended to hybrid multiobjec- tive programming model and hybrid goal programming model.
In the current complex economic situation,production enterprises are facing *** planning of the ordering and transportation of raw materials to ensure the stable operation of the production supply chain is the key to ...
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In the current complex economic situation,production enterprises are facing *** planning of the ordering and transportation of raw materials to ensure the stable operation of the production supply chain is the key to the sustainable development of *** this paper,a TOPSIS model based on entropy weight and a raw material ordering and transportation model for production enterprises based on multi-objective programming are proposed to provide reference for raw material ordering and transportation selection of production *** this model,the supply characteristics of suppliers are quantitatively analyzed,and on the basis of the demand of production enterprises,the supplier is determined based on the principle of minimum number of ***,the future transshipment loss rate of the transporter is predicted based on the time series,and then the corresponding transporter and transshipment scheme are determined with the lowest loss rate as the *** research on the model of suppliers and transporter has a good guiding significance for the ordering and transportation of raw materials in manufacturing enterprises.
The aim of this paper is to investigate several inherited properties of convexity for set-valued maps and develop computational procedure based on such inherited properties. In this paper, we introduced two types of c...
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The aim of this paper is to investigate several inherited properties of convexity for set-valued maps and develop computational procedure based on such inherited properties. In this paper, we introduced two types of characteristic functions by using Tchebyshev scalarization, and defined four types of scalarization functions to characterize the images of set-valued maps.
The aim of the present paper is to propose a novel version of the well known multicriteria method PROMETHEE that deals with segmentation constraints and is also suitable for group decision making. The motivation for t...
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The aim of the present paper is to propose a novel version of the well known multicriteria method PROMETHEE that deals with segmentation constraints and is also suitable for group decision making. The motivation for the development of the method was a real case study concerning the selection of students for a postgraduate program. The proposed method, named PROMETHEE V2, is based on the principles of PROMETHEE V but uses the results of PROMETHEE I (instead of PROMETHEE II) and exploits the information provided by the leaving and entering flows in order to formulate a bi-objective Integer programming problem. The solution of the latter produces the Pareto optimal solutions which are usually more than one. Due to its structure, the whole decision process is especially suitable for group decision making.
The aims of this paper is to investigate several properties of set-valued maps inherited into scalarizing functions and develop calculation proce- dures based on such *** this paper, we introduce two types of characte...
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The aims of this paper is to investigate several properties of set-valued maps inherited into scalarizing functions and develop calculation proce- dures based on such *** this paper, we introduce two types of characteristic functions by using Tchebyshev scalarization,and discuss four types of scalarizing functions of set-valued maps character- istics according to the above two characteristic func- tions.
This paper considers linear programming problems where objective functions involve fuzzy random variables. New decision making models, called possibilistic mean model, are proposed in order to maximize the mean (expec...
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ISBN:
(纸本)9781479906505
This paper considers linear programming problems where objective functions involve fuzzy random variables. New decision making models, called possibilistic mean model, are proposed in order to maximize the mean (expectation) of the degrees of possibility and necessity with respect to attained objective function values. It is shown that the original fuzzy random programming problems are transformed into deterministic nonlinear ones which can be solved by conventional nonlinear programming techniques.
Conducting concrete mix proportion design and experiment by uniform design;enabling the formula to fit with the experimental data through stepwise regression analysis;paying attention to the economic cost as the o...
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Conducting concrete mix proportion design and experiment by uniform design;enabling the formula to fit with the experimental data through stepwise regression analysis;paying attention to the economic cost as the objective function;achieving the optimization of concrete mix proportion by using multiobjective programming methods. Mixing concrete by following these methods, one can reduce the cost, save energy and produce considerable practical value in projects.
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