assessment and linear programming under fuzzy conditions

The present work focuses on two directions. first, a new fuzzy method using triangular/trapezoidal fuzzy numbers as tools is developed for evaluating a group’s mean performance, when qualitative grades instead of numerical scores are used for assessing its members’ individual performance. second, a new technique is applied for solving linear programming problems with fuzzy coefficients. examples are presented on student and basket-ball player assessment and on real life problems involving linear programming under fuzzy conditions to illustrate the applicability of our results in practice. a discussion follows on the perspectives of future research on the subject and the article closes with the general conclusions