The purpose of this paper is to point to the usefulness of applying a linear mathematical formulation of fuzzy multiple criteria objective decision methods in organising business activities. In this respect fuzzy parameters of linear programming are modelled by preference-based membership functions. This paper begins with an introduction and some related research followed by some fundamentals o...

In this paper, we study how changes in the coefficients of objective function, the coefficients matrix and the right-hand-side vector of constraints of the fuzzy linear programming problems with the fuzzy order relation in the objective function and the constraints under ranking function affect the fuzzy optimal solution. We consider separate cases when changes occur in the data of the problem ...

The multiobjective problem with fuzzy goals (which may also represent fuzzy right hand sides of the constraints) is formulated as a fuzzy goal programming problem. A new approach and a new solution method are proposed.

nowadays, watershed management practices are undertaken based on selective criteria and/or a specific purpose such as a decrease in flood risk, soil erosion and the like. in this respect,fuzzy logic has the ability to manage a wide range of options for decision making. this researchaimed to use the fuzzy logic theory to priorities watershed management practices consideringtime and budget constr...

In this paper, we present a complete design framework for an adaptive multiple agent fuzzy constraint-based controller (MAFCC) based on fuzzy penumbra constraint processing in each fuzzy constraint subnetwork collaborating with a connected constraint network and its corresponding semantic modeling in a rst-order predicate calculus (FOPC) language, with application to a complex hydraulic system....

Flexible queries have aroused an increasing interest for many years in the database literature (Bosc & Pivert, 1992; Christiansen, Larsen, & Andreasen, 1997; Larsen, Kacpryk, Zadrozny, Andreasen, & Christiansen, 2001), and the fuzzy set-based approach to this problem, introduced about 25 years ago, has been developed both at the theoretical and the practical levels through many works (e.g., Bos...

Traditionally, constraint satisfaction problems (CSP's) 1] are so deened that \all the constraints are satissed simultaneously." However, this is not always true. Many CSP's in real-life are \soft CSP's," i.e., an assignment of values to the variables is considered to be a solution even if some constraints are violated. Some of the practical CSP's are fuzzy: they are fully satissed by some valu...

The traditional frameworks for fuzzy linear optimization problems are inspired by the max–min model proposed by Zimmermann using the Bellman–Zadeh extension principle to aggregate all the fuzzy sets representing flexible (fuzzy) constraints and objective functions together. In this paper, we propose an alternative approach to model fuzzy multi-objective linear programming problems (FMOLPPs) fro...

There are two interesting methods, in the literature, for solving fuzzy linear programming problems in which the elements of coefficient matrix of the constraints are represented by real numbers and rest of the parameters are represented by symmetric trapezoidal fuzzy numbers. The first method, named as fuzzy primal simplex method, assumes an initial primal basic feasible solution is at hand. T...