Witold Pedrycz

TL;DR: This Ch.

TL;DR: In this article , a concept on fuzzy soft sets with negative hesitation degree is proposed, which is represented as the overlap with the intersection of known sets over the universe of discourse, and the hesitation part is clarified with detail by analyzing the overlap area belonging to the intersection between known sets or not involving in any known sets.

TL;DR: Zhang et al. as mentioned in this paper proposed a few-shot learning method called temporal episode relation learning (TERL), which can be directly applied to a new user without being re-trained.

TL;DR: This work presents an approach which detects and aggregates spikiness contributions by combination of spike patterns, called archetypes, based on computational stigmergy, a bio-inspired scalar and temporal aggregation of samples.

TL;DR: In this article, a two-stage RL and traditional operations research (OR) algorithms are combined together to solve complex scheduling problems for agile Earth observation satellite scheduling problems, where the RL algorithm narrows down the search space of the original problem through an RL method, while the mixed-integer programming process is settled by an OR algorithm.