Fuzziness in Petri Nets
Fuzziness in Petri Nets

Author: Janette Cardoso

Publisher: Springer Science & Business Media

Published: 1998-11-26

Total Pages: 338

ISBN-13: 9783790811582

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The volume provides a comprehensive, up-to-date account on recent developments concerning the incorporation of fuzzy capabilities in Petri Net models. The results of such studies originated the class of models that have been designated by Fuzzy Petri Nets. The recent papers specially elaborated for this volume range over several aspects of fuzziness in Petri nets. They form an interesting collection of original works that covers a great variety of relevant problems concerning the concept of Fuzzy Petri Net model. The articles approach several of the most outstanding issues in the framework of Fuzzy Petri nets, such as the representation of time, consistency checking, learning, design, computational efficiency, modelling flexibility, among others. From the material collected in the book one can extract the points of view of leading researchers concerning the basic and advanced concepts, advantages, potential applications and open problems, related to the field.

Intelligent Task Planning Using Fuzzy Petri Nets
Intelligent Task Planning Using Fuzzy Petri Nets

Author: Tiehua Cao

Publisher: World Scientific

Published: 1996

Total Pages: 218

ISBN-13: 9789810225568

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This book describes an approach to intelligent task planning in a robotic system. Petri net and fuzzy logic are integrated and used to represent task sequence planning and error recovery. During the generation and execution of task plans, different kinds of uncertainties need to be handled to ensure the efficiency and reliability of the system. Following a systematic modeling procedure, a fuzzy Petri net is constructed based on geometric relations, fuzzy variables, and reasoning structures. The resulting net can be used to analyze and control the system. Many examples are discussed to illustrate the theory and the applications of fuzzy Petri nets.

Intelligent Task Planning Using Fuzzy Petri Nets
Intelligent Task Planning Using Fuzzy Petri Nets

Author: Tom Tiehua Cao

Publisher: World Scientific

Published: 1996-08-23

Total Pages: 207

ISBN-13: 9814499374

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This book describes an approach to intelligent task planning in a robotic system. Petri net and fuzzy logic are integrated and used to represent task sequence planning and error recovery. During the generation and execution of task plans, different kinds of uncertainties need to be handled to ensure the efficiency and reliability of the system. Following a systematic modeling procedure, a fuzzy Petri net is constructed based on geometric relations, fuzzy variables, and reasoning structures. The resulting net can be used to analyze and control the system. Many examples are discussed to illustrate the theory and the applications of fuzzy Petri nets.

Start-Ups and SMEs: Concepts, Methodologies, Tools, and Applications
Start-Ups and SMEs: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2020-01-03

Total Pages: 1687

ISBN-13: 179981761X

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Smaller companies are abundant in the business realm and outnumber large companies by a wide margin. To maintain a competitive edge against other businesses, companies must ensure the most effective strategies and procedures are in place. This is particularly critical in smaller business environments that have fewer resources. Start-Ups and SMEs: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines the strategies and concepts that will assist small and medium-sized enterprises to achieve competitiveness. It also explores the latest advances and developments for creating a system of shared values and beliefs in small business environments. Highlighting a range of topics such as entrepreneurship, innovative behavior, and organizational sustainability, this multi-volume book is ideally designed for entrepreneurs, business managers, executives, managing directors, academicians, business professionals, researchers, and graduate-level students.

Computational Intelligence Applications in Modeling and Control
Computational Intelligence Applications in Modeling and Control

Author: Ahmad Taher Azar

Publisher: Springer

Published: 2014-12-26

Total Pages: 434

ISBN-13: 3319110179

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The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications. This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning
Fuzzy Petri Nets for Knowledge Representation, Acquisition and Reasoning

Author: Hua Shi

Publisher: Springer Nature

Published: 2023-10-23

Total Pages: 476

ISBN-13: 9819951542

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This book provides valuable knowledge, useful fuzzy Petri nets (FPN) models, and practical examples that can be considered by mangers in supporting knowledge management of organizations to increase and sustain their competitive advantages. In this book, the authors proposed various improved FPN models to enhance the modeling power and applicability of FPNs in knowledge representation and reasoning. This book is useful for practitioners and researchers working in the fields of knowledge management, operation management, information science, industrial engineering, and management science. It can also be used as a textbook for postgraduate and senior undergraduate students.

Advances in Computing and Data Sciences
Advances in Computing and Data Sciences

Author: Mayank Singh

Publisher:

Published: 2019

Total Pages: 752

ISBN-13: 9789811399435

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This two-volume set (CCIS 1045 and CCIS 1046) constitutes the refereed proceedings of the Third International Conference on Advances in Computing and Data Sciences, ICACDS 2019, held in Ghaziabad, India, in April 2019. The 112 full papers were carefully reviewed and selected from 621 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations.

Uncertainty Management with Fuzzy and Rough Sets
Uncertainty Management with Fuzzy and Rough Sets

Author: Rafael Bello

Publisher: Springer

Published: 2019-01-22

Total Pages: 424

ISBN-13: 303010463X

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This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Author: Davide Ciucci

Publisher: Springer

Published: 2013-10-07

Total Pages: 412

ISBN-13: 3642412181

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This book constitutes the thoroughly refereed conference proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2013, held in Halifax, Canada in October 2013 as one of the co-located conference 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 inconsistency, incompleteness, non-determinism; fuzzy and rough hybridization; granular computing and covering-based rough sets; soft clustering; image and medical data analysis.

Production Engineering and Management under Fuzziness
Production Engineering and Management under Fuzziness

Author: Cengiz Kahraman

Publisher: Springer Science & Business Media

Published: 2010-05-19

Total Pages: 566

ISBN-13: 3642120512

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Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in multiple continents. The product of a production system can also vary in complexity based on the material used, technology employed, etc. Every product, whether a pencil or an airplane, is produced in a system which depends on good management to be successful. Production management has been at the center of industrial engineering and management science disciplines since the industrial revolution. The tools and techniques of production management have been so successful that they have been adopted to various service industries, as well. The book is intended to be a valuable resource to undergraduate and graduate students interested in the applications of production management under fuzziness. The chapters represent all areas of production management and are organized to reflect the natural order of production management tasks. In all chapters, special attention is given to applicability and wherever possible, numerical examples are presented. While the reader is expected to have a fairly good understanding of the fuzzy logic, the book provides the necessary notation and preliminary knowledge needed in each chapter.