Design of global climate control based on fuzzy systems with concept of carbon emissions

PLOS One Design of global climate control based on fuzzy systems 4.1.1 Partition and membership functions. For each zk we select nk overlapping fuzzy sets (e.g., Low/High triangles as in Figs 7, 8, 9, and 10, with membership 𝜇k,j(zk). The i–th rule corresponds to one set per k, with normalized weight hi(z) = ∏3 k=1 𝜇k,𝜎i(k)(zk) ∑r ℓ=1 ∏3 k=1 𝜇k,𝜎ℓ (k)(zk) , r = ∏ k nk, (4) where hi(z) ≥ 0 and ∑r i=1 hi(z) = 1. Fig 7. Membership function for global climate model for internal temperature (○C) with solid line and signal groups (points). https://doi.org/10.1371/journal.pone.0333846.g007 Fig 8. Membership function for global climate model for external temperature (○C) with solid line and signal groups (points). https://doi.org/10.1371/journal.pone.0333846.g008 PLOS One https://doi.org/10.1371/journal.pone.0333846 October 14, 2025 10/ 30