Application of Interval-Fuzzy Linear Programming for Total Amount Control Optimization Model on Regional Atmospheric Pollutants

2013 ◽  
Vol 316-317 ◽  
pp. 493-496
Author(s):  
Jing Ya Wen ◽  
Ze Sen Wang ◽  
Yan Hu ◽  
Zhuang Li ◽  
Yu Li
Keyword(s):  
Linear Programming ◽  
Optimization Model ◽  
Fuzzy Linear Programming ◽  
Atmospheric Pollutants ◽  
Management Policy ◽  
Linear Programming Method ◽  
Total Cost ◽  
Control Optimization ◽  
Total Amount Control ◽  
Set Up

Aiming at the harsh environmental situation at present, this paper applied the interval fuzzy linear programming method, and combines environmental management policy about the total control of regional atmospheric pollution, to set up an optimization model for total amount control of regional atmospheric pollutants under uncertainty. Through the model results, the total cost of reduction in instance case was [119.98, 125.82] (108yuan), and the membership of SO2and NOXpredicted through the model were [31.00, 32.64] and [23.62, 25.94] (104tons), respectively. This model could get the minimum total cost of emission reduction, and be used as the technique and theory guider for the total amount control of atmospheric pollutants.

Application of Total Amount Control Optimization Model on Regional Atmospheric Pollutants Based on the Total Amount Control Evaluation Index System (The Evaluation Indicator Layer)

2012 ◽  
Vol 599 ◽  
pp. 476-479 ◽  
Author(s):  
Jing Ya Wen ◽  
Yan Hu ◽  
Chun Hui ◽  
Zhuang Li ◽  
Yu Li
Keyword(s):  
Optimization Model ◽  
Index System ◽  
Evaluation Index System ◽  
Atmospheric Pollutants ◽  
Management Policy ◽  
Evaluation Index ◽  
Total Cost ◽  
Total Amount Control ◽  
Control Evaluation ◽  
Set Up

According to the indicator layer of the total amount control evaluation index system, this paper applied the management policy about the total control of regional atmospheric pollution to set up an optimization model for total amount control of regional atmospheric pollutants and get the minimum total cost of emission reduction. Through the model results, the total cost of reduction in instance case was 124.61 (108 yuan), and the membership of SO2 and NOX predicted through the model were 32.34 and 24.13 (104 tons), respectively. This model could be used as the technique and theory guider for the total amount control of atmospheric pollutants, to achieve the goals of the "12th Five-Year Plan" environmental protection requirement more effectively.

Emission Reduction Potential Optimization Model on Refinery and Chemical Enterprises for Atmospheric Pollutants Total Amount Control

2014 ◽  
Vol 472 ◽  
pp. 904-908 ◽  
Author(s):  
Xing Chun Li ◽  
Jing Ya Wen ◽  
Jiang Long ◽  
Xian Yuan Du ◽  
Yu Li
Keyword(s):  
Optimization Model ◽  
Emission Reduction ◽  
Reduction Potential ◽  
High Energy ◽  
Atmospheric Pollutants ◽  
Management Policy ◽  
Pollutant Emission ◽  
Emission Reduction Potential ◽  
Total Amount Control ◽  
High Pollution

Aiming at the harsh environmental situation at present, refinery and chemical enterprises in China are mostly of high energy consumption and high pollution enterprises, which have great emission reduction potential of atmospheric pollutants. Based on SO2and NOx produced by refinery and chemical enterprises, the emission reduction potential optimization model is established by using linear programming method, and combined environmental management policy about total amount control of atmospheric pollutants. Through the model results, the maximum pollutant emission reduction of SO2and NOx predicted through the model were 4810.69 and 1574.04 (tons), and the optimum technical schemes have been given, respectively. This model could provide not only the maximum emission reduction of the existing projects and enterprises, but also the decision support of emission reduction for refinery and chemical enterprises during "the 12thFive Year Plan".

Multi-Objective Fuzzy Linear Programming for Land Allocation under Different Crops in Bhagwanpur Distributary

2019 ◽  
Vol 6 (04) ◽  
Author(s):  
ASHUTOSH UPADHYAYA
Keyword(s):  
Linear Programming ◽  
Crop Production ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Command Area ◽  
Linear Programming Method ◽  
Net Return ◽  
Multi Objective ◽  
Labour Requirement ◽  
Canal Command Area

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.

An Interval-Fuzzy Emissions Reduction Optimization Model for Regional Water Pollutant Total Amount Control

2013 ◽  
Vol 316-317 ◽  
pp. 497-500
Author(s):  
Zhuang Li ◽  
Jing Ya Wen ◽  
Ze Sen Wang ◽  
Zhao Sun ◽  
Yu Li
Keyword(s):  
Water Pollution ◽  
Optimization Model ◽  
Fuzzy Linear Programming ◽  
Hunan Province ◽  
Emissions Reduction ◽  
Environment Protection ◽  
Validity And Reliability ◽  
Total Amount Control ◽  
Water Pollutant ◽  
Regional Water

Combining environment policies of structure emissions reduction, engineering emissions reduction and management emissions reduction, this paper uses an interval-fuzzy linear programming and builds an optimization model for total amount control of regional water pollution, on account of severe water pollution condition. The developed model is applied to a case of Hunan Province to validate its validity and reliability. The optimal result demonstrated that the emission reduction of COD and NH3-N are [43.39, 47.57] and [7.05, 7.64] (104 tons), and the optimal total costs of reduction is [35.11, 37.35] (billion yuan), which decreases 6.32~11.20% than the existed recommended scheme (39.87 billion yuan). This method can be used for providing technical support and thus achieves the 12th Five-year goals of the environment protection plan more effectively.

scholarly journals A Novel Fuzzy SIMUS Multicriteria Decision-Making Method. An Application in Railway Passenger Transport Planning

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 483
Author(s):  
Svetla Stoilova ◽  
Nolberto Munier
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Urban Systems ◽  
Passenger Transport ◽  
Linear Programming Method ◽  
Suitable Alternative ◽  
Railway Passenger Transport ◽  
Railway Passenger

To increase the level of adequacy in multi-criteria decision-making in the case of uncertainty, it is essential to reduce the subjectivism and to increase the reality of obtained results. The study aims to propose a novel fuzzy multi-criteria method based on the fuzzy linear programming method and sequential interactive model for urban systems method (SIMUS), named fuzzy SIMUS. This paper is something completely different because it links the power of fuzzy with the advantage of the SIMUS method. Indeed, not using weights, it works with optimal values. Here, this procedure is presented for the first time. The methodology consists of three stages. The first stage includes forming the parameters of a multi-criteria model in the case of uncertainty. The initial matrix has three values: lower, medium, and upper. In the second stage, the fuzzy SIMUS model for each objective is formed based on fuzzy linear programming method. The third stage deals with the ranking of the alternatives. The methodology was experimented for planning railway intercity passenger transport in Bulgarian’s railway network. Nine alternative transport plans and eight criteria were studied. It was found that the objectives which influence ranking the most are the frequency of train stops (15%), direct operational costs (15%), train’s capacity (14.7%), and reliability (14.3%). A transport plan for railway passenger transport is proposed. A verification of the results was performed. It was found that the stability of the choice presented a suitable alternative.

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