Decision making problems which are inherently hierarchical come under the category of multi-level programming problems. Whenever the hierarchy of problems is limited to two levels, the multi-level programming problem becomes a bilevel programming problem. Classical bilevel problems contain a leader problem subject to its constraints, and a follower problem subject to its own constraints. The follower problem acts as a constraint for the leader problem. However, in real practical cases, there may be a number of followers that constrain the solution space of the leader problem. Moreover, there may be certain impreciseness prevailing in the quantification of the resources of both the leader and the follower problems. In this paper, we deal with linear bilevel programming problems with multiple followers, which suffer from uncertainty, calling them fuzzy linear bilevel programming problems with multiple followers. While many solution approaches for such problems have already been introduced, we propose a novel defuzzification and K-th best algorithm based solution approach in this paper. Relevant results with a suitable numerical example have also been shown.