Tag: uncertainty modeling

A new mathematical study shows that hyperbolic fuzzy sets can embed several popular generalized fuzzy frameworks, verify key logical properties ...

A new study finds that parameter-free hyperbolic fuzzy sets achieve perfect classification accuracy while heavily parameterized Diophantine fuzzy models collapse ...

Researchers have developed an order-preserving framework based on intuitionistic fuzzy soft sets, order-isomorphism, and topological sorting that improves the accuracy ...

A new study introduces probabilistic interval-valued dual hesitant fuzzy sets and an extended CRITIC-TOPSIS framework that ranks alternatives under multiple ...

Researchers have developed a graph-aware framework combining Type-2 fuzzy logic and reinforcement learning that lets industrial IoT networks cluster themselves ...

A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...

A new Applied Intelligence study reveals how four types of mathematical concepts in incomplete data tables are structurally connected, enabling ...

Researchers have introduced new, axiomatically verified divergence measures for T-spherical fuzzy sets that remain well-defined where existing formulas fail, enabling ...

Researchers have developed a hybrid intuitionistic fuzzy deep neural network that markedly improves risk assessment accuracy for onshore oil and ...