… A comparative analysis is also carried out among various … Fuzzy Inference System and
Sugeno Fuzzy Inference System. The proposed approach is applicable to design a better system …

… decision making technique based adaptive neuro-Fuzzy inference system (ANFIS) which is
formed by combining the artificial neural networks (ANN) and Fuzzy logic (FL). In which, ANN …

… radio network planning and optimization because it helps to understand the behaviour of
radio … Neuro-Fuzzy Inference System (ANFIS) for multi-transmitter radio propagation scenarios …

… For instance, for a fuzzy inference system with 10 inputs, each with two membership
functions, the grid partitioning leads to 1024 (=2^10) rules, which is inhibitively large for any …

… is proposed in this article based on fuzzy logic. Two different fuzzy inference system models
ie Mamdani and Sugeno systems are developed that compute spectrum access decision …

… network design and optimization. In this paper, the capability of Adaptive Neuro-Fuzzy
Inference System (… communication systems, propagation models are needed for radio network …

… , which communicate via a packet radio network. The proposed algorithm assumes all … the
fuzzy inference system. For each node an FIS is computed and carried out at the base station …

… , a fuzzy inference method for the handover decision is proposed. Fuzzy inference system
is … Handover and the selection of radio access technologies are required in that case. A …

… At present, a large number of studies are aiming to model low-energy radios. In this paper,
the first-order radio model [20] has been employed to model the power dissipation between …

… system the best cell of each radio network is first chosen, and then the selection between
networks … The output from the fuzzy inference system is compared to threshold equal to 0.5 and …