Evolving intelligent systems (EISs), particularly, the zero-order ones have demonstrated strong performance on many real-world problems concerning data stream classification while offering high model transparency and interpretability thanks to their prototype-based nature. Zero-order EISs typically learn prototypes by clustering streaming online in a “one pass” manner for greater computation ef...

Every real-life optimization problem with uncertainty and hesitation can not be a single objective, consequently, class of multiobjective linear problems (MOLOP) appears in the literature. Further, experts assign values uncertain parameters, expert’s opinions about parameters are conflicting nature. There concerning methods based on fuzzy sets, or their other versions available literature that ...