TY  - JOUR
T1  - Hybrid Dynamic Fuzzy Cognitive Maps for
Self-Directed Mobile Direction-Finding
AU - Ravichandran, P. 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 15
SP  - 3961
EP  - 3963
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.3961.3963
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.3961.3963
KW  - Fuzzy cognitive maps
KW  -autonomous navigation embedded
KW  -dynamic decision-making
KW  -intelligent dynamic decision systems
KW  -nature
KW  -HDFCM
AB  - This research is an evolution of previous research in which we used a knowledge-based system to
free navigation area. About 2 navigation systems are developed: one uses Fuzzy Cognitive Maps (FCM)
and the other is based on a Fuzzy Logic Controller (FLC). For the first system, a variant of the traditional FCM,
named Hybrid-Dynamic Fuzzy Cognitive Maps (HDFCM) is used to model decision tasks and to make inference
into a mobile navigation context. Fuzzy cognitive maps are a tool that model qualitative structured knowledge
through concepts and causal relationships. The proposed show permits speaking to the efficient conduct of
a portable robot in the nearness of changes in nature. A Hierarchical Weighted Fuzzy Logic Controller
(HW-FLC) creates the second route framework. Recreation results are introduced permitting a comparison of
both structures and demonstrating the capacity of the portable robot to explore among impediments in various
situations (course condition). At long last, beginning genuine outcomes with arduino microcontroller appear.
ER  -