[PDF] Top 20 Fuzzy linear mathematical programming in agriculture

... This paper has discussed the use of fuzzy linear programming for solving a production planning problem in agriculture. It concludes that how the farmer gets best possible result with the use ... See full document

... a Fuzzy Linear Programming ...a fuzzy multi criteria mathematical programming model which is used to find the optimal allocation of land for paddy which satisfies the two ... See full document

... of fuzzy Multi-objective mathematical programming ...in fuzzy environment was further studied and was applied in various areas by many ...intuitionistic fuzzy sets as a powerful ... See full document

... developed mathematical model retain the uncertainty in finding the ...and fuzzy information respectively. Fuzzy sets [1] play a significant role and are useful to represent uncertain and imprecise ... See full document

... with fuzzy parameters were introduced which are referred to as Multi Objective Fuzzy Linear Fractional Programming (MOFLFP) ...interactive fuzzy decision making technique using ... See full document

... Fuzzy linear programming problem occur in many fields such as mathematical modeling, Control theory and Management sciences, ...of Linear Programming with fuzzy numbers ... See full document

... the fuzzy set theory in [7] [19], the fuzzy optimization problem has been widely studied since ...the fuzzy linear programming problem in the method of [27], ...the fuzzy goal ... See full document

... bi-objective Fuzzy Mathematical Model based on fuzzy linear programming problem has been proposed for the effective distribution of medicines to the dis- ease population in a certain ... See full document

... as linear, piecewise linear, exponential, and hyperbolic functions, were used in different ...non-decreasing linear membership functions are frequently applied for the inequalities with less than or ... See full document

... in mathematical programming in which a number of jobs (tasks or works) assigned to an equal number of machines (persons), so as to perform the jobs depend on their ... See full document

... sciences, mathematical modeling and industrial applications. The concept of fuzzy decision was introduced by Bellman and Zadeh (1970), later Tanaka ...as fuzzy linear programming (FLP) ... See full document

... Geometric programming (GP) is a technique to solve the special class of non - linear programming problems subject to linear or non-linear ...original mathematical development of ... See full document

... Supplier selection problem (SSP) is one of the important elements in supply chain management which provides a better decision tool for the selection of the supplier. In this paper, a multiple sourcing supplier selection ... See full document

... Active set methods can be divided into primal, dual and parametric (Ferreau et al. 2014). When finding a feasible starting point primal active-set methods generate a sequence of primal feasible iterates until dual ... See full document

... Conventional programming approaches does not deal with this situation however some researches have specifically treated the multi-objective ...dynamic programming and a rounding ... See full document

... proposed fuzzy linear regression model with crisp input and fuzzy output described by Tanaka was considered ...modified fuzzy least square method for the ...conventional fuzzy least ... See full document

... of fuzzy regression models due to different fitting criterion (Tanaka et ...in programming and computation, but it has been criticized to provide too wide ranges in estimation which cannot give much help in ... See full document

... Significant experience and/or training in some of the following areas desirable: optimization, linear programming and other mathematical programming; simulation and other system modellin[r] ... See full document

... A wide variety of real life problems in logistics, economics, social science and politics can be formulated as linear integer optimization problems. The combinatorial problems, like the knapsack-capital budgeting ... See full document

... In this paper, the simplex method portrayed by pentagon fuzzy numbers, numerical example shows that by this method. We can have the optimal solution as well s crisp and Fuzzy Optimal total cost. Thus it can ... See full document