Neutrosophic Number Goal Programming For Multi Objective Linear Programming Problem In Neutrosophic Number Environment
Download Neutrosophic Number Goal Programming For Multi Objective Linear Programming Problem In Neutrosophic Number Environment PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neutrosophic Number Goal Programming For Multi Objective Linear Programming Problem In Neutrosophic Number Environment book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Neutrosophic number goal programming for multi-objective linear programming problem in neutrosophic number environment
The purpose of the paper is to propose goal programming strategy to multi-objective linear programming problem with neutrosophic numbers which we call NN-GP. The coefficients of objective functions and the constraints are considered as neutrosophic numbers of the form (m+nI), where m, n are real numbers and I denotes indeterminacy.
Multi-level linear programming problem with neutrosophic numbers: A goal programming strategy
In the paper, we propose an alternative strategy for multi-level linear programming (MLP) problem with neutrosophic numbers through goal programming strategy. Multi-level linear programming problem consists of k levels where there is an upper level at the first level and multiple lower levels at the second level with one objective function at every level.
Bi-level Linear Programming Problem with Neutrosophic Numbers
The paper presents a novel strategy for solving bi-level linear programming problem based on goal programming in neutrosophic numbers environment. Bi-level linear programming problem comprises of two levels namely upper or first level and lower or second level with one objective at each level. The objective function of each level decision maker and the system constraints are considered as linear functions with neutrosophic numbers of the form [p + q I], where p, q are real numbers and I represents indeterminacy.