Fuzziness in Petri Nets

ISBN-13: 9783790811582 / Angielski / Twarda / 1998 / 318 str.

Janette Cardoso; Heloisa Camargo; Janette Cardoso

Opis

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.

Spis treści

J. Cardoso, H. Camargo: Preface.- Introductory Sections: R. Valette, B. Pradin-Chézalviel, F. Girault: An Introduction to Petri Net Theory; M. Fedrizzi, J. Kacprzyk: A Brief Introduction to Fuzzy Sets and Fuzzy Systems; D. Dubois, H. Prade: A Brief Introduction to Possibility Theory and Its Use for Processing Fuzzy Temporal Information.- Fuzziness in Petri Nets: Various Aspects: C.G. Looney: Fuzzy Petri Nets for Rule-Based Decisionmaking; T. Murata, T. Suzuki, S.M. Shatz: Fuzzy-Timing High-Level Petri Nets for Time-Critical Systems; J. Cardoso: Time Fuzzy Petri Nets; L. Künzle, R. valette, B. Pradin-Chézalviel: Temporal Reasoning in Fuzzy Time Petri Nets; A. Bugrin, P. Cariñena, P. Félix, S. Barro: Reasoning with Fuzzy Temporal Rules on Petri Nets; S.-M. Chen: Knowledge Base Verification Using Fuzzy Petri Nets; L. Gomes: Fuzzy Modelling for Reactive Real-Time Systems Control Using Reactive Petri Nets; H. Camargo: The design of Knowledge Bases through Hierarchical Fuzzy Petri Nets; W. Pedrycz, J.F. Peters: Learning in Fuzzy Petri Nets: Concepts and Calibration Methodology; A. Fay, E. Schnieder: Fuzzy Petri Nets for Knowledge Modelling in Expert Systems.

Blurb

The volume is devoted to fuzziness in Petri Nets. The purpose is to provide 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. In a broad sense, the works presented fall into one of two main approaches: In the first one, the net models reasoning systems. In the second approach the presented works are devoted to model dynamic physical systems. From the material collected in the book one can extract the points of view of leadings researchers concerning the basic and advanced concepts, advantages, potential applications and open problems, related to the field. The reader should expect to find a broad collection of works presenting the most relevant concepts related to the extension of the well known Petri nets to capture the flexibility provided by the fuzzy sets and fuzzy logic representation of imprecise and uncertain knowledge.