Novel Developments In Granular Computing


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Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation


Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation

Author: Yao, JingTao

language: en

Publisher: IGI Global

Release Date: 2010-06-30


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"This book investigages granular computing (GrC), which emerged as one of the fastest growing information processing paradigms in computational intelligence and human-centric systems"--Provided by publisher.

Granular Computing and Intelligent Systems


Granular Computing and Intelligent Systems

Author: Witold Pedrycz

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-04-28


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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. This idea of layered, hierarchical realization of models of complex systems has gained a significant level of visibility in fuzzy modeling with the well-established concept of hierarchical fuzzy models where one strives to achieve a sound tradeoff between accuracy and a level of detail captured by the model and its level of interpretability. Higher type information granules emerge when the information granules themselves cannot be fully characterized in a purely numerical fashion but instead it becomes convenient to exploit their realization in the form of other types of information granules such as type-2 fuzzy sets, interval-valued fuzzy sets, or probabilistic fuzzy sets. Higher order and higher type of information granules constitute the focus of the studies on Granular Computing presented in this study. The book elaborates on sound methodologies of Granular Computing, algorithmic pursuits and an array of diverse applications and case studies in environmental studies, option price forecasting, and power engineering.

Novel Developments in Granular Computing


Novel Developments in Granular Computing

Author: JingTao Yao

language: en

Publisher:

Release Date: 2010


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One of the fastest growing areas in computer science, granular computing, covers theories, methodologies, techniques, and tools that make use of granules in complex problem solving and reasoning. This book analyzes developments and current trends of granular computing, reviewing the most influential research and predicting future trends. It not only presents a comprehensive summary of existing practices, but enhances understanding on human reasoning.