The Journal of the Operational Research Society, Vol. 64, No. 10 (OCTOBER 2013), pp. 1557-1569 (13 pages) The common difficulty in solving a Binary Linear Programming (BLP) problem is uncertainties in ...

Abstract: Fuzzy linear programming (FLP ) is an application of fuzzy set theory in linear decision making problems and most of these problems are related to linear programming contains fuzzy ...

Abstract: This paper presents two general methods to handle uncertainties in the right hand side parameters of a linear programming (LP) model by means of interval type-2 fuzzy sets (IT2 FS). In this ...

ABSTRACT: Under non-random uncertainty, a new idea of finding a possibly optimal solution for linear programming problem is examined in this paper. It is an application of the intuitionistic fuzzy set ...

ABSTRACT: Two existing methods for solving a class of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers without converting them to crisp linear programming problems ...

https://doi.org/10.2307/3009355 • https://www.jstor.org/stable/3009355 Copy URL Mathematical Programming models have been suggested as a tool for optimal media ...

Fuzzy normed linear spaces extend conventional normed spaces by integrating a degree of imprecision through fuzzy set theory, thereby quantifying uncertainty in the measurement of vector magnitude. In ...

This paper proposes an integrated control model that enables the pesticide use according to the prey density and the insertion of the natural enemy, the predators, by fuzzy linear programming.The fall ...

In this study, distinct categories of linear and nonlinear heptadecagonal fuzzy numbers with symmetry and asymmetry and their graphical representation are proposed. The membership functions and ...