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Granular computing in the development of fuzzy controllers
Author(s) -
Pedrycz Witold,
Vukovich George
Publication year - 1999
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/(sici)1098-111x(199904)14:4<419::aid-int5>3.0.co;2-5
Subject(s) - granularity , computer science , fuzzy logic , granular computing , robustness (evolution) , data mining , fuzzy control system , representation (politics) , theoretical computer science , artificial intelligence , rough set , biochemistry , chemistry , politics , gene , political science , law , operating system
This study elaborates on the role of information granularity in the development of fuzzy controllers. As opposed to numeric data being commonly accepted by fuzzy controllers, we discuss a general processing framework involving data‐information granules exhibiting various levels of information granularity. The paper analyzes an impact of information granularity on the performance of the controller. We study a way in which information granules arise in control problems, elaborate on a way of describing these granules as well as provide a way of quantifying the level of information granularity. A number of analysis and design issues are studied including robustness of the fuzzy controller, representation of linguistic information and quantification of its granularity. Nonlinear characteristics of the compiled version of the fuzzy controller operating in presence of granular information are discussed in detail. Illustrative numerical examples are provided as well. ©1999 John Wiley & Sons, Inc.