Fuzzy multi-objective linear programming extends the linear programming model (LP) in two important aspects: multiple objective functions representing different points of view (criteria) used for evaluation of feasible solutions, uncertaintyinherent to information used in the modeling and solving stage. A...
The traditional frameworks for fuzzy linear optimization problems are inspired by the max-min model proposed by Zimmermann using the Bellman-Zadeh extension principle. This paper attempts to view fuzzy multiobjective linear programming problem (FMOLPP) from a perspective of preference modeling. The ...
Herath, H.M.I.U and D. M.,, Samarathunga 2015. Multi- Objective Fuzzy Linear Programming in Agricultural Production Planning. International Journal of Scientific & Technology Research, October 4(10), 242-250.Herath, HMIU, and D. M. Samarathunga. 2015. "Multi-Objective Fuzzy Linear ...
e Y. Kono, Application of fuzzy multiobjective linear programming to greenhouse cultivation planning, Japanese Journal of Fuzzy Theory and Systems vol 4 (6) (1992) 701.T. Yamaguchi and Y. Kono, Application of Fuzzy Multiobjective Linear Programming to Green- house Cultivation Planning, Jap...
"Solving fuzzy linear programming problem as multi objective linear programming problem", Proceedings of the World Congress on EngineeringWCE, London, U.K.Thakre, P.A., Shelar, D.S. and Thakre, S.P. "Solving fuzzy linear programming problem as multi objective linear programming problem", ...
Since each of the above objective-based solutions has relevance to the needs of the society and economy, it is necessary to build a model that makes a compromise among the three individual solutions. This multi-objective fuzzy linear programming (MOFLP) model, solved in a compromising decision ...
In this paper, two new algorithms are presented to solve multi-level multi-objective linear programming (ML-MOLP) problems through the fuzzy goal programming (FGP) approach. The membership functions for the defined fuzzy goals of all objective functions at all levels are developed in the model fo...
An MILP based DSS is developed for design and management of bioenergy supply chains.The proposed DSS integrates multiobjective decision making and fuzzy modeling.Specific characteristics of anaerobic digestion systems are represented by the model.The model is solved by using different FGP approaches.Compu...
In this paper we compare the solution of multi objective linear programming problem with this solution obtained in Zimmermann's method.Zimmermann used membership function to solve the multi-objective linear programming problems. We have used -cut to solve the multi objective linear programming problems...
In multiobjective programming problems, each objective function’s marginal evaluation is depicted by its respective membership functions. The linear, exponential, and hyperbolic membership functions are constructed under the neutrosophic environment. Each of them is defined for the truth, indeterminacy, and...