In cognitive radio networks, cognitive users are allowed to use the licensed portions of spectrum, as long as no harmful interference affects the primary (licensed) users. Towards achieving this goal, spectrum sensing is an essential process to determine spectrum access opportunities for the cognitive users. In wide spectrum applications, it is recommended to distribute the sensing task of the required bands among the cognitive nodes to reduce the sensing process overhead. This paper presents a fuzzy inference based scheme for distributing the sensing task among cognitive nodes. This scheme is proven, via simulations, to reduce the overall probability of sensing error compared to two other cooperative sensing mechanisms.