A new trapezoidal fuzzy linear programming method considering the acceptance degree of fuzzy constraints violated

2018 ◽  
Vol 148 ◽  
pp. 100-114 ◽  
Author(s):  
Jiu-ying Dong ◽  
Shu-Ping Wan
Keyword(s):  
Linear Programming ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Linear Programming Method ◽  
Fuzzy Constraints

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.

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.

Optimal load curtailment using multi-objective fuzzy linear programming method

2010 ◽  
Vol 20 (8) ◽  
pp. 1025-1039 ◽  
Author(s):  
Sige Liu ◽  
Mingtian Fan ◽  
Xiaoxin Zhou ◽  
Haozhong Cheng
Keyword(s):  
Linear Programming ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Linear Programming Method ◽  
Multi Objective ◽  
Optimal Load ◽  
Load Curtailment
Sign in / Sign up

Export Citation Format

Share Document