Journal ArticleDOI
Fuzzy interval control of mobile robots
Reads0
Chats0
TLDR
The FIC represents an adaptive FLC whose input-output relation is no longer deterministic and is designed for the applications in which limited or uncertain expert's experience is available and provides a practical implementation of a type 2 FLC to real applications.About:
This article is published in Computers & Electrical Engineering.The article was published on 1996-05-01. It has received 73 citations till now. The article focuses on the topics: Fuzzy control system & Fuzzy logic.read more
Citations
More filters
Journal ArticleDOI
Type-2 fuzzy sets made simple
Jerry M. Mendel,Robert John +1 more
TL;DR: Establishing a small set of terms that let us easily communicate about type-2 fuzzy sets and also let us define such sets very precisely, and presenting a new representation for type- 2 fuzzy sets, and using this new representation to derive formulas for union, intersection and complement of type-1 fuzzy sets without having to use the Extension Principle.
Journal ArticleDOI
Interval type-2 fuzzy logic systems: theory and design
Qilian Liang,Jerry M. Mendel +1 more
TL;DR: An efficient and simplified method to compute the input and antecedent operations for interval type-2 FLSs: one that is based on a general inference formula for them is proposed.
Journal ArticleDOI
Type-2 fuzzy logic systems
TL;DR: A type-2 fuzzy logic system (FLS) is introduced, which can handle rule uncertainties and its implementation involves the operations of fuzzification, inference, and output processing, which consists of type reduction and defuzzification.
Journal ArticleDOI
A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots
TL;DR: A novel reactive control architecture for autonomous mobile robots that is based ontype-2 FLC to implement the basic navigation behaviors and the coordination between these behaviors to produce a type-2 hierarchical FLC is presented.
BookDOI
Handbook of Granular Computing
TL;DR: The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field, and represents a significant and valuable contribution to the literature.
References
More filters
Book
Fuzzy Sets and Fuzzy Logic: Theory and Applications
George J. Klir,Bo Yuan +1 more
TL;DR: Fuzzy Sets and Fuzzy Logic is a true magnum opus; it addresses practically every significant topic in the broad expanse of the union of fuzzy set theory and fuzzy logic.
Journal ArticleDOI
Real-time obstacle avoidance for manipulators and mobile robots
TL;DR: This paper reformulated the manipulator con trol problem as direct control of manipulator motion in operational space—the space in which the task is originally described—rather than as control of the task's corresponding joint space motion obtained only after geometric and geometric transformation.
Book
Uncertainty in Artificial Intelligence 2
TL;DR: Qualitative Probabilistic Reasoning and Cognitive models, Dempster-Shafer Theory in Knowledge Representation, and Possibility Theory: Semantics and Applications.
Journal ArticleDOI
Vision and navigation for the Carnegie-Mellon Navlab
TL;DR: A distributed architecture articulated around the CODGER (communication database with geometric reasoning) knowledge database is described for a mobile robot system that includes both perception and navigation tools.