Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …

The most widely used technique for solving and optimizing a real-life problem is linear
programming (LP), due to its simplicity and efficiency. However, in order to handle the …

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …

Lotfi et al.[Solving a full fuzzy linear programming using lexicography method and fuzzy
approximate solution, Appl. Math. Modell. 33 (2009) 3151–3156] pointed out that there is no …

This paper aims to propose a new direct algorithm to solve the neutrosophic linear
programming where the variables and right-hand side represented with triangular …

This paper discusses full fuzzy linear programming (FFLP) problems of which all parameters
and variable are triangular fuzzy numbers. We use the concept of the symmetric triangular …

Linear programming problems with trapezoidal fuzzy variables (FVLP) have recently
attracted some interest. Some methods have been developed for solving these problems by …

Real humankind problems have different sorts of ambiguity in the creation, and amidst them,
one of the significant issues in solving the integer linear programming issues. In this …

Linear programming (LP) is a widely used optimization method for solving real-life problems
because of its efficiency. Although precise data are fundamentally indispensable in …

There is an extensive literature in data envelopment analysis (DEA) aimed at evaluating the
relative efficiency of a set of decision-making units (DMUs). Conventional DEA models use …