Computationally efficient active rule detection method: Algorithm and architecture
Fuzzy Sets and Systems
Generalized fuzzy operations for digital hardware implementation
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Defuzzification block: New algorithms, and efficient hardware and software implementation issues
Engineering Applications of Artificial Intelligence
| Hi-index | 0.00 |
In this paper, three novel defuzzification methods are presented which are appropriate for low-cost hardware implementations. An elaborate set of ten different defuzzification methods including our three newly-proposed ones are introduced here. The C models for all of these methods are prepared for the accuracy-analysis simulations. The HDL models are also developed and synthesized to analyze the implementation cost of each method. This makes it possible to compare the accuracy of these different methods while considering their VLSI implementation costs. The accuracy analysis simulations are performed on six different sets of output fuzzy membership functions with various features to achieve more general and reliable results. A two-dimensional diagram of cost-accuracy analysis is introduced which helps the designers to choose the defuzzification method which best suits their application.