Fuzz-iDEVS: towards a fuzzy toolbox for discrete event systems

In this paper, we present a set of tools for the simulation of fuzzy systems. The described methods allow to take into account and to handle a lot of imperfect parameters for the studied systems. The methods developed are based on fuzzy logic and DEVS formalism. Their goal is to expand fields of application of simulation environments, and to foster interdisciplinary collaborations. At first, we have applied them to study the spread of forest fires. This application was developed in collaboration with the fire-fighters.

[1]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[2]  Bernard P. Zeigler,et al.  DEVS formalism and methodology: unity of conception/diversity of application , 1993, WSC '93.

[3]  Bernard P. Zeigler,et al.  Theory of modeling and simulation , 1976 .

[4]  L. Zadeh The role of fuzzy logic in the management of uncertainty in expert systems , 1983 .

[5]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[6]  Lazaros S. Iliadis,et al.  A computer-system that classifies the prefectures of Greece in forest fire risk zones using fuzzy sets , 2002 .

[7]  Paul-Antoine Bisgambiglia,et al.  DEVS-Flou: a discrete events and fuzzy logic-based new method of modelling , 2006 .

[8]  E. De Gentili,et al.  A fuzzy approach of modeling evolutionary interfaces systems , 2006, 2006 First International Symposium on Environment Identities and Mediterranean Area.

[9]  L. Zadeh Fuzzy sets as a basis for a theory of possibility , 1999 .

[10]  Lazaros S. Iliadis,et al.  A decision support system applying an integrated fuzzy model for long-term forest fire risk estimation , 2005, Environ. Model. Softw..

[11]  E. de Gentili,et al.  Discrete events system simulation-based deFuzzification method , 2008, MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference.

[12]  Jean François Santucci,et al.  Fuzzy simulation for discrete events systems , 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

[13]  Laurent Capocchi,et al.  Manipulation of incomplete or fuzzy data for DEVS-based systems , 2007 .