Fuzzy linear programming

In this study, we explore reseach methodologi, industry and the aspect of uncertainty. We make an analysis uncertainty for the topic, approach, model formulation and make comparison of uncertainty reseach area. The most used approach and method on uncertainty are Mixed Integer Linear Programing, mixed integer nonlinear Programing, Robust Fuzzy Stochastic Programming, and Improved kriging-assisted robust optimization method. Customer demand, total cost, product returns are the most widely researched aspects.

11p longtimenosee07 29-03-2024 2 2   Download

Ebook Purchasing management: Part 2 includes contents: Chapter 9 Supplier Selection with focus on choice of evaluation criteria; Chapter 10 Supplier selection using a fuzzy linear programming model; Chapter 11 Supplier selection using ISO standards; Chapter 12 Tacit knowledge transfer, a crucial part of supplier development; Chapter 13 Supplier development with quality focus; Chapter 14 Supplier‐buyer collaboration, one way to reach success; Chapter 15 Information sharing, the driver of a proficient buyer‐supplier relationship; Chapter 16 Appendices; Chapter 17 Bibliography.

96p haojiubujain03 24-07-2023 9 4   Download

This study considers a supply chain master planning problem in an uncertain environment where operating costs, customer demand, production capacity, manufacturer’s acceptable defective rate, and manufacturer’s acceptable service level are uncertain.

30p tohitohi 22-05-2020 20 0   Download

In this paper, we concentrate on two kinds of fuzzy linear programming problems: Linear programming problems with only fuzzy technological coefficients and linear programming problems in which both the right-hand side and the technological coefficients are fuzzy numbers. We consider here only the case of fuzzy numbers with linear membership functions.

22p tuongvidanh 06-01-2019 27 2   Download

In this paper, we consider some Multi-choice linear programming (MCLP) problems where the alternative values of the multi-choice parameters are fuzzy numbers. There are some real-life situations where we need to choose a value for a parameter from a set of different choices to optimize our objective, and those values of the parameters can be imprecise or fuzzy. We formulate these situations as a mathematical model by using some fuzzy numbers for the alternatives.

16p danhnguyentuongvi27 19-12-2018 26 0   Download

The model has been formulated as a fuzzy stochastic programming problem and reduced to corresponding equivalent fuzzy linear programming problem. The model has been solved by using fuzzy linear programming technique and illustrated numerically.

7p vinguyentuongdanh 19-12-2018 30 0   Download

In this paper, we applied an Interactive Fuzzy Goal Programming (IFGP) approach with linear, exponential and hyperbolic membership functions, which focuses on maximizing the minimum membership values to determine the preferred compromise solution for the multi-response stratified surveys problem, formulated as a MultiObjective Non Linear Programming Problem (MONLPP).

18p vinguyentuongdanh 19-12-2018 34 0   Download

In this paper, we consider a multi-objective two person zero-sum matrix game with fuzzy goals, assuming that each player has a fuzzy goal for each of the payoffs. The max-min solution is formulated for this multi-objective game model, in which the optimization problem for each player is a linear programming problem. Every developed model for each player is demonstrated through a numerical example.

10p vinguyentuongdanh 19-12-2018 20 0   Download

The management of the electrical and electronic waste (WEEE) problem in the uncertain environment has a critical effect on the economy and environmental protection of each region. The considered problem can be stated as a fuzzy non-convex optimization problem with linear objective function and a set of linear and non-linear constraints. The original problem is reformulated by using linear relaxation into a fuzzy linear programming problem.

14p vinguyentuongdanh 19-12-2018 21 0   Download

In this paper the concept of fuzzy Non-Linear Programming Technique is applied to solve an economic order quantity (EOQ) model for restricted budget and space. Since various types of uncertainties and imprecision are inherent in real inventory problems, they are classically modeled by using the approaches from the probability theory. However, there are uncertainties that cannot be appropriately treated by usual probabilistic models.

14p vinguyentuongdanh 19-12-2018 26 0   Download

This paper deals with multiobjective bi-level linear programming problems under fuzzy environment. In the proposed method, tentative solutions are obtained and evaluated by using the partial information on preference of the decision-makers at each level. The existing results concerning the qualitative analysis of some basic notions in parametric linear programming problems are reformulated to study the stability of multiobjective bi-level linear programming problems.

12p vinguyentuongdanh 19-12-2018 25 0   Download

In our earlier articles, we proposed two methods for solving the fully fuzzified linear fractional programming (FFLFP) problems. In this paper, we introduce a different approach of evaluating fuzzy inequalities between two triangular fuzzy numbers and solving FFLFP problems. First, using the Charnes-Cooper method, we transform the linear fractional programming problem into a linear one. Second, the problem of maximizing a function with triangular fuzzy value is transformed into a problem of deterministic multiple objective linear programming.

10p vinguyentuongdanh 19-12-2018 31 0   Download

Present paper improves the model of Bector and Chandra on duality in fuzzy linear programming by using non-linear membership functions. Numerical problem discussed by these authors has also been worked out through our non–linear model to demonstrate the obtain improvements.

10p vinguyentuongdanh 19-12-2018 13 0   Download

In this paper we shall propose an algorithm for solving fuzzy linear programming problems with trapezoidal numbers using a penalty method. We will transform the problem of maximizing a function having trapezoidal fuzzy number values under some constraints into a deterministic multi-objective programming problem by penalizing the objective function for possible constraint violation.

8p vinguyentuongdanh 19-12-2018 30 0   Download

In this paper, a multi-item inventory model with space constraint is developed in both crisp and fuzzy environment. A profit maximization inventory model is proposed here to determine the optimal values of demands and order levels of a product. Selling price and unit price are assumed to be demand-dependent and holding and set-up costs sock dependent. Total profit and warehouse space are considered to be vague and imprecise. The impreciseness in the above objective and constraint goals has been expressed by fuzzy linear membership functions.

12p vinguyentuongdanh 20-12-2018 22 1   Download

In this work, we introduce the TESLACELAB metric (Translation Evaluation of Sentences with Linear-programming-based Analysis – Character-level Evaluation for Languages with Ambiguous word Boundaries) for automatic machine translation evaluation. For languages such as Chinese where words usually have meaningful internal structure and word boundaries are often fuzzy, TESLA-CELAB acknowledges the advantage of character-level evaluation over word-level evaluation.

9p nghetay_1 07-04-2013 27 2   Download