TY - JOUR T1 - An Overview of the Theory and Applications of Interval-based Intelligent Systems and Controllers TT - مروری بر نظریه و کاربردهای سیستم های و کنترل کنندهای هوشمند بازه ای JF - joc-isice JO - joc-isice VL - 8 IS - 3 UR - http://joc.kntu.ac.ir/article-1-213-en.html Y1 - 2014 SP - 27 EP - 49 KW - Interval knowledge KW - Granular computing KW - Interval-based intelligent systems KW - Rough neural networks KW - Fuzzy type – 2 controllers N2 - Interval knowledge is introduced in this paper. Interval knowledge is new paradigm for representation of human’s partial-implicit knowledge which applies granular information-based computational methods, e.g., fuzzy sets and rough sets. Interval-based intelligent systems and controllers are ones used interval knowledge and granular computing approaches. These systems and controllers are able to deal with types of vagueness and uncertainties. During past two decades, several researches have proved interval-based intelligent system are more capable than ones use traditional approaches in order to processes of data, especially in noisy situations. In this paper, rough sets theory, rough set neural networks, and theory of fuzzy type2 as most important interval knowledge approaches are presented, and also some their applications are summarized. M3 ER -