scholarly journals A Neutrosophic Fuzzy Programming Method to Solve a Multi-depot Vehicle Routing Model under Uncertainty during the COVID-19 Pandemic

2022 ◽  
Vol 35 (2) ◽  
pp. 360-371
Keyword(s):  
Vehicle Routing ◽  
Fuzzy Programming ◽  
Programming Method

Robust fuzzy programming method for MRO problems considering location effect, dispersion effect and model uncertainty

2017 ◽  
Vol 105 ◽  
pp. 76-83 ◽  
Author(s):  
Yingdong He ◽  
Zhen He ◽  
Dong-Hee Lee ◽  
Kwang-Jae Kim ◽  
Lin Zhang ◽  
...  
Keyword(s):  
Model Uncertainty ◽  
Fuzzy Programming ◽  
Programming Method ◽  
Dispersion Effect

scholarly journals A Recourse-Based Type-2 Fuzzy Programming Method for Water Pollution Control under Uncertainty

Symmetry ◽  
2017 ◽  
Vol 9 (11) ◽  
pp. 265 ◽  
Author(s):  
Jing Liu ◽  
Yongping Li ◽  
Guohe Huang ◽  
Lianrong Chen
Keyword(s):  
Water Pollution ◽  
Pollution Control ◽  
Fuzzy Programming ◽  
Programming Method ◽  
Water Pollution Control ◽  
Control Under Uncertainty

scholarly journals A Multiobjective Programming Method for Ranking All Units Based on Compensatory DEA Model

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Haifang Cheng ◽  
Yishi Zhang ◽  
Jianhu Cai ◽  
Weilai Huang
Keyword(s):  
Multiobjective Programming ◽  
Optimal Solution ◽  
Fuzzy Programming ◽  
Programming Method ◽  
Data Envelopment ◽  
Global Optimal Solution ◽  
Dea Model ◽  
Common Weights ◽  
Common Set Of Weights ◽  
Global Optimal

In order to rank all decision making units (DMUs) on the same basis, this paper proposes a multiobjective programming (MOP) model based on a compensatory data envelopment analysis (DEA) model to derive a common set of weights that can be used for the full ranking of all DMUs. We first revisit a compensatory DEA model for ranking all units, point out the existing problem for solving the model, and present an improved algorithm for which an approximate global optimal solution of the model can be obtained by solving a sequence of linear programming. Then, we applied the key idea of the compensatory DEA model to develop the MOP model in which the objectives are to simultaneously maximize all common weights under constraints that the sum of efficiency values of all DMUs is equal to unity and the sum of all common weights is also equal to unity. In order to solve the MOP model, we transform it into a single objective programming (SOP) model using a fuzzy programming method and solve the SOP model using the proposed approximation algorithm. To illustrate the ranking method using the proposed method, two numerical examples are solved.

scholarly journals A MOLP Method for Solving Fully Fuzzy Linear Programming withLRFuzzy Parameters

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xiao-Peng Yang ◽  
Xue-Gang Zhou ◽  
Bing-Yuan Cao ◽  
S. H. Nasseri
Keyword(s):  
Linear Programming ◽  
Solution Method ◽  
Fuzzy Numbers ◽  
Optimal Solution ◽  
Order Relation ◽  
Fuzzy Programming ◽  
Fuzzy Linear Programming ◽  
Programming Method ◽  
Multiobjective Linear Programming ◽  
Fuzzy Parameters

Kaur and Kumar, 2013, use Mehar’s method to solve a kind of fully fuzzy linear programming (FFLP) problems withLRfuzzy parameters. In this paper, a new kind of FFLP problems is introduced with a solution method proposed. The FFLP is converted into a multiobjective linear programming (MOLP) according to the order relation for comparing theLRflat fuzzy numbers. Besides, the classical fuzzy programming method is modified and then used to solve the MOLP problem. Based on the compromised optimal solution to the MOLP problem, the compromised optimal solution to the FFLP problem is obtained. At last, a numerical example is given to illustrate the feasibility of the proposed method.

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