The inexact information system is based on linguistic terms which have values lying in the interval [0; 1]. Imprecision has advantages, because fuzzy sets avoid the rigidity of conventional mathematical reasoning and computer programming. Fuzzy quanti ers are made explicit by means of fuzzy logic. Many systems, for example, complex biological processes, cannot be programmed in a precise way. Wi...

Pulmonary lobe segmentation is an important prerequisite for accurately quantifying pulmonary damage in many diseases and planning treatment. However, due to the incomplete lobar structures morphological changes caused by diseases, still encounters great challenges. In this study, a Learnable Interpolation Extrapolation Network (LIE-Net) proposed form complete consecutive fissure surfaces learn...

Abstract Approximate reasoning systems facilitate fuzzy inference through activating if–then rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) supports such with sparse bases where certain observations may not match any existing rules, manipulation of that bear similarity an unmatched observation. This differs from classical rule-based requires direct pat...

Welding is an important production and processing method in industrial production. Due to the uncertainty of its process complexity mechanism, it challenging construct accurate welding parameter model describe it. Fuzzy interpolation reasoning a valuable tool realm intelligent systems. It helps reduce fuzzy models can be used for systems with sparse rule bases. This paper provides that combines...