We propose a new low-complexity coalition forming algorithm, BSCA-F, that enables agents to negotiate bilateral Shapley value stable coalitions in uncertain environments, and demonstrate its usefulness by example. In particular, we show that utilizing the possibilistic mean value for defuzzifying negotiated fuzzy agent payoffs is reasonable, and fuzzy ranking methods can be utilized to implement optimistic, or pessimistic strategies of individual agents.