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 PDF Author: Yao, JingTao
Publisher: IGI Global
ISBN: 1605663255
Category : Education
Languages : en
Pages : 569

Get Book Here

Book Description
"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.

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 PDF Author: Yao, JingTao
Publisher: IGI Global
ISBN: 1605663255
Category : Education
Languages : en
Pages : 569

Get Book Here

Book Description
"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.

Novel Developments in Granular Computing

Novel Developments in Granular Computing PDF Author: JingTao Yao
Publisher:
ISBN:
Category :
Languages : en
Pages :

Get Book Here

Book Description
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.

Interpretable Artificial Intelligence: A Perspective of Granular Computing

Interpretable Artificial Intelligence: A Perspective of Granular Computing PDF Author: Witold Pedrycz
Publisher: Springer Nature
ISBN: 3030649490
Category : Technology & Engineering
Languages : en
Pages : 430

Get Book Here

Book Description
This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.

Computer Engineering: Concepts, Methodologies, Tools and Applications

Computer Engineering: Concepts, Methodologies, Tools and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1613504578
Category : Computers
Languages : en
Pages : 2079

Get Book Here

Book Description
"This reference is a broad, multi-volume collection of the best recent works published under the umbrella of computer engineering, including perspectives on the fundamental aspects, tools and technologies, methods and design, applications, managerial impact, social/behavioral perspectives, critical issues, and emerging trends in the field"--Provided by publisher.

Rough Sets

Rough Sets PDF Author: Lech Polkowski
Publisher: Springer
ISBN: 3319608371
Category : Computers
Languages : en
Pages : 737

Get Book Here

Book Description
This two-volume set LNAI 10313 and LNAI 10314 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2017, held in Olsztyn, Poland, in July 2017. The 74 revised full papers presented together with 16 short papers and 16 invited talks, were carefully reviewed and selected from 130 submissions. The papers in this two set-volume of IJCRS 2017 follow the track already rutted by RSCTC and JRS conferences which aimed at unification of many facets of rough set theory from theoretical aspects of the rough set idea bordering on theory of concepts and going through algebraic structures, topological structures, logics for uncertain reasoning, decision algorithms, relations to other theories of vagueness and ambiguity, then to extensions of the rough set idea like granular structures, rough mereology, and to applications of the idea in diverse fields of applied science including hybrid methods like rough-fuzzy, neuro-rough, neuro-rough-fuzzy computing. IJCRS 2017 encompasses topics spread among four main tracks: Rough Sets and Data Science (in relation to RSCTC series organized since 1998); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized since 2006); and Rough Sets and Intelligent Systems (in relation to RSEISP series organized since 2007).

Man-Machine Interactions

Man-Machine Interactions PDF Author: Krzysztof A. Cyran
Publisher: Springer Science & Business Media
ISBN: 3642005632
Category : Computers
Languages : en
Pages : 667

Get Book Here

Book Description
This volume reflects a number of research streams on the development of computer systems and software that makes it possible to employ them in a variety of human activities ranging from logic studies and artificial intelligence, rule-based control of technological processes, image analysis, expert systems and decision support, to assistance in creative works. In particular, the volume points to a number of new advances in man-machine communication, interaction between visualization and modeling, rough granular computing in human-centric information processing and the discovery of affinities between perceptual granules. The topical subdivisions of this volume include human-computer interactions, decision support, rough fuzzy investigations, advances in classification methodology, pattern analysis and signal processing, computer vision and image analysis, advances in algorithmics, databases and data warehousing, and embedded system applications.

AI 2018: Advances in Artificial Intelligence

AI 2018: Advances in Artificial Intelligence PDF Author: Tanja Mitrovic
Publisher: Springer
ISBN: 3030039919
Category : Computers
Languages : en
Pages : 863

Get Book Here

Book Description
This book constitutes the proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, AI 2018, held in Wellington, New Zealand, in December 2018. The 50 full and 26 short papers presented in this volume were carefully reviewed and selected from 125 submissions. The paper were organized in topical sections named: agents, games and robotics; AI applications and innovations; computer vision; constraints and search; evolutionary computation; knowledge representation and reasoning; machine learning and data mining; planning and scheduling; and text mining and NLP.

Learning in Non-Stationary Environments

Learning in Non-Stationary Environments PDF Author: Moamar Sayed-Mouchaweh
Publisher: Springer Science & Business Media
ISBN: 1441980202
Category : Technology & Engineering
Languages : en
Pages : 439

Get Book Here

Book Description
Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system complexity and state changes, information sources, the need for faster data handling and the integration of environmental influences. Intelligent systems, equipped with a taxonomy of data-driven system identification and machine learning algorithms, can handle these problems partially. Conventional learning algorithms in a batch off-line setting fail whenever dynamic changes of the process appear due to non-stationary environments and external influences. Learning in Non-Stationary Environments: Methods and Applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations. This approach offers a useful basis for further investigation and fresh ideas and motivates and inspires newcomers to explore this promising and still emerging field of research.

Rough Sets and Knowledge Technology

Rough Sets and Knowledge Technology PDF Author: Pawan Lingras
Publisher: Springer
ISBN: 3642412998
Category : Computers
Languages : en
Pages : 428

Get Book Here

Book Description
This book constitutes the thoroughly refereed conference proceedings of the 8th International Conference on Rough Sets and Knowledge Technology, RSKT 2013, held in Halifax, Canada in October 2013 as one of the co-located conferences of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as history and future of rough sets; foundations and probabilistic rough sets; rules, reducts, ensembles; new trends in computing; three-way decision rough sets; and learning, predicting, modeling.

Springer Handbook of Computational Intelligence

Springer Handbook of Computational Intelligence PDF Author: Janusz Kacprzyk
Publisher: Springer
ISBN: 3662435055
Category : Technology & Engineering
Languages : en
Pages : 1637

Get Book Here

Book Description
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.