[PDF] Top 20 Multi-Objective Fuzzy Linear Programming In Agricultural Production Planning

... and in Asia alone more than 2 billion people depend on rice and its products for their food ...area in Sri ...engaged in paddy cultivation island-wide. It has become deeply embedded in the ... See full document

... integrated production-distribution model for the dynamic location-allocation problem considering volume flexibility is an effective response to the need of SCM considered to increase the ability of system against ... See full document

... triangular fuzzy numbers. Kumar et al. (2010) proposed a method to find the fuzzy optimal solution of FFLP problem with equality ...the fuzzy solution of FFLP problems with inequality ...the ... See full document

... element in a set while later is concerned with the degree of uncertainty by which an element belongs to a ...set. In an inventory control model, Petrovic and Sweeney (1994) fuzzified the demand, lead time ... See full document

... multilevel programming models have been ap- plied to various hierarchical decision making situations such as oligopolistic market supplying a homogeneous product [6], principal-agent problem [7], traffic ... See full document

... a linear programming problem stemmed from a network structure consisting of a finite number of nodes and arcs attached to ...them. In a typical problem a production is to be transported from m ... See full document

... makers in practical hierarchical decision making situations often encounter two kinds of decision making processes, one is well known as a multi-level pro- gramming process and the other is the interactive ... See full document

... use fuzzy set. Fuzzy set concept has been applied to APP in many literatures ...Many fuzzy goal programming (FGP) models were also proposed for solving multiple objective ... See full document

... integer linear programming (MILP) model for general two-phase aggregate production planning ...that production plan concerns the allocation of resources of the company to meet the ... See full document

... facilities in the first echelon are considered as uncapacitated while the facilities in the second echelon are ...involved in configuration of a supply network which are either deterministic or ... See full document

... on fuzzy goal programming (FGP) approach to solve multi-objective programming problem with fuzzy relational equations (FREs) as ...Multiobjective programming problem with ... See full document

... ABSTRACT: In large-scale natural disasters and military supplies, multiple parafoils are more capable of performing actual ...paths planning for multiple parafoils with different initial positions and ... See full document

... merging. In task assignment, they proposed an adaptive ant colony optimization algorithm to select speciic time window for each task and create a task list for each ...satellite. In task merging, they ... See full document

... quadratic programming problem is a special type of nonlinear programming problems, which involves maximization/minimization of a quadratic function subject to linear ...quadratic programming ... See full document

... between fuzzy sets and between ...between fuzzy sets for approximate analogical ...between fuzzy sets to determine whether a rule should be fired for rule matching in fuzzy control and ... See full document

... performed in Variation 2, as they were similarly distributed from ...(S1-S4) in the sense that they were optimal when all optimized objectives were considered, the results for Variation 3 clearly ... See full document

... follows: In section 2, main features of Bector-Chandra model are given for ready ...Piecewise linear membership functions are introduced in section 3 and the corresponding crisp equivalent of the ... See full document

... three multi-objective heuristic algorithms based on Two-phase Pareto Local Search with VNS (2PPLS-VNS), Multi-objective Variable Neighborhood Search (MOVNS) and Non-dominated Sorting Genetic ... See full document

... Teoria Fuzzy (ZADEH, 1973, ...Goal Programming and Data Envelopment Analysis – FGPDEA-CCR) e FGPDEA-BCC (Fuzzy Goal Programming and Data Envelopment Analysis – FGPDEA-BCC) e, como objetivo ... See full document

... Genetic Programming describes an al- gorithmic approach that is likely to produce overfitting ...Thus, in order to lessen the risk of overfitting and increasing the generalization ability of ge- netic ... See full document