Hybrid Fuzzy-Bayesian Demand Modeling and Simulation-Driven Policy Co-Optimization for Dynamic IoT Data Streams
DFB-PCO is proposed, a demand-aware fuzzy-Bayesian policy co-optimization method for IoT data streams that extracts online stream features, uses fuzzy membership and rule aggregation to represent ambiguous demand boundaries, and applies Bayesian posterior updating to capture temporal demand uncertainty.