Witold Pedrycz, Shyi-Ming Chen, "Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type
S inger | 2011 | ISBN: 3642198198 | 316 pages | PDF | 3 MB
S inger | 2011 | ISBN: 3642198198 | 316 pages | PDF | 3 MB
Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a few representatives. Among current developments of Granular Computing, interesting options concern information granules of higher order and of higher type. The higher order information granularity is concerned with an effective formation of information granules over the space being originally constructed by information granules of lower order. This construct is directly associated with the concept of hierarchy of systems composed of successive processing layers characterized by the increasing levels of abstraction.