Timed approximate petri nets

Authors:
Zbigniew Suraj;Barbara Fryc
Affiliations:
Chair of Computer Science Foundations, University of Information Technology and Management, Rzeszów, Poland;Chair of Computer Science Foundations, University of Information Technology and Management, Rzeszów, Poland
Venue:
Fundamenta Informaticae - Special issue on theory and applications of soft computing (TASC04)
Year:
2006

Citing 8
Cited 2

Fuzzy Petri nets for rule-based decisionmaking

IEEE Transactions on Systems, Man and Cybernetics
Modeling and Verification of Time Dependent Systems Using Time Petri Nets

IEEE Transactions on Software Engineering
A parallel algorithm for real-time decision making: a rough set approach

Journal of Intelligent Information Systems
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3

Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Rough Sets: Theoretical Aspects of Reasoning about Data

Rough Sets: Theoretical Aspects of Reasoning about Data
Knowledge Representation Using Fuzzy Petri Nets

IEEE Transactions on Knowledge and Data Engineering
ANALYSIS OF ASYNCHRONOUS CONCURRENT SYSTEMS BY TIMED PETRI NETS

ANALYSIS OF ASYNCHRONOUS CONCURRENT SYSTEMS BY TIMED PETRI NETS
Discovering Concurrent Models from Data Tables with the ROSECON System

Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)

A New Class of Fuzzy Petri Nets for Knowledge Representation and Reasoning

Fundamenta Informaticae - Concurrency, Specification and Programming
Formal Description of Alvis Language with α0 System Layer

Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek

Quantified Score

Hi-index	0.00

Visualization

Abstract

Time is one of the most important considerations in designing practical systems. The notion of time plays a vital role in performance evaluation of real-time systems. A new class of timed approximate Petri nets (TAP-nets) is proposed in the paper. This net model combines high-level Petri nets with time and uncertain information. The approach presented in the paper for modelling of uncertainty, imprecision and vagueness is based on rough set theory and fuzzy Petri nets. The TAP-nets can be used for modelling and evaluating of approximate reasoning used to build expert systems, control systems, communication systems, etc. The main advantage of modelling practical systems using the TAP-nets is that the resulting models are simple, intuitive and allow the system analyst to evaluate the performance of such system models.