Assessment and Linear Programming under Fuzzy Conditions
This paper addresses the problem of performance assessment and linear programming under conditions of imprecision for practitioners who deal with qualitative data and fuzzy parameters.
This paper introduces a new fuzzy method to evaluate a group's mean performance using qualitative grades, rather than numerical scores, for individual assessments. Additionally, it presents a new technique for solving Linear Programming problems that involve fuzzy coefficients, demonstrating its applicability with real-world examples.
A new fuzzy method is developed using triangular/trapezoidal fuzzy numbers for evaluating a group's mean performance, when qualitative grades instead of numerical scores are used for assessing its members' individual performance. Also, a new technique is developed for solving Linear Programming problems with fuzzy coefficients and everyday life applications are presented to illustrate our results.