Abstract: Modeling wireless communication networks is essential for sound decision making regarding network planning, network optimization, resource allocation and scheduling. In mobile networks, most commonly used indicators to measuring handoff performance include Received Signal Strength (RSS), signal strength from the target base station, Handoff Latency (HL) and congestion control of the Target base Station. Handoff plays a critical role in wireless communication. It is a process by which Mobile Network (MN) moves from one point of network attachment to another. As wireless communications technologies evolve dramatically, the recent focus has shifted to the development of 4th-Generation (4G) mobile systems and even 5G networks. Instead of developing a new uniform standard for all wireless communications systems, 4G communication networks strive to seamlessly integrate various existing wireless communication technologies. However, the major challenges in this migration is to realize seamless handoffs among various communications systems with minor handoff latency. Indeed, maintaining seamless connectivity along with minimizing poor Quality of Service (QoS) is one of the major challenges in mobile networks. Nevertheless, handoff prediction can overcome these challenges. It is accountable for, given that seamless communication among Base Stations (BSs) when user moves from one cell to another. In this study, a computational intelligence framework based on fuzzy knowledge-based system and multiple criteria VHD algorithms is considered. The work proposed an Adaptive Intelligence Multi-Factored Algorithm (AIMFA) and Multi Criteria Algorithm to predict and optimize handoff decision. Consequently, the simulation results show that the proposed algorithm seems to reduce the probability of call-drops as well as unnecessary handoffs in heterogeneous network environments. The evaluation also shows that with Gaussian Membership Function (GMF), the Optimized Handoff Decision (OHD) initiates handoff efficiently for Quality of Service (QoS) provisioning in Mobile networks.