The paper proposes a new kind of method for solving fuzzy linear programming problems
based on the satisfaction (or fulfillment) degree of the constraints. Using a new ranking
method of fuzzy numbers, the fulfillment of the constraints can be measured. Then the
properties of the ranking index are discussed. With this ranking index, the decision maker
can make the constraints tight or loose based on his optimistic or pessimistic attitude and get
the optimal solution from the fuzzy constraint space. The corresponding value of objective …