The precise node location of the sensor nodes is an essential requirement in Wireless Sensor Networks (WSNs) to determine the place or event occurring at a particular instant of time. In WSN, existing localization schemes considers two-dimensional (2D) space, while in actual life, sensor nodes are placed in three-dimensional (3D) space. In 3D localization, there are many research challenges, such as higher computational complexity, poor location prediction, lesser coverage, and depending only on fewer anchor nodes. To address various research issues in 3D environment we propose a range-free technique applied in an anisotropic scenario having Degree of Irregularity (DOI) as 0.01 using the concepts of fuzzy logic system (FLS). Anisotropic properties of nodes are considered to determine the efficiency of Grey wolf with Firefly algorithm. In our proposed scenario, the received signal strength (RSS) information is necessary among the target nodes and their corresponding anchor nodes for determining the location of target nodes using the information based on edge weights. These edge weights are further modelled using Hybrid GWO-FA to estimate the location of target nodes. The proposed algorithms is energy efficient as a single location aware node is used for localization. Further, the concept of virtual anchors is introduced that helps the algorithm to determine 3D positions.