Fuzzy knowledge-based and model-based systems

Article type: Research Article

Authors: Majumdar, Kausik Kumar | Majumder, Dwijesh Dutta

Affiliations: Electronics & Communication Sciences Unit, Indian Statistical Institute, 203, B. T. Road, Calcutta – 700108, India

Note: [] Corresponding author. E-mail: [email protected]

Abstract: In this paper we have divided the fuzzy systems into two classes namely, knowledge-based fuzzy systems and model-based fuzzy systems. Here we have shown that the uncertain information processing capability of fuzzy set theory based techniques can successfully be employed for modeling and simulation of complex real life natural systems through fuzzy model-based approach. Three case studies in the form of genesis of tropical cyclone, evolution of tumor in human tissues and occurrence of turbulence in a fluid flow have been discussed with fuzzy model-based approach. A fuzzy evolutionary algorithm has been described for solving a set of one dimensional fuzzy differential inclusion relations.

Keywords: Fuzzy knowledge-based system, fuzzy model-based system, fuzzy expert system, fuzzy controller, fuzzy differential inclusion relations, fuzzy evolutionary algorithm

Journal: Journal of Intelligent & Fuzzy Systems, vol. 18, no. 4, pp. 391-403, 2007