By Anne Laurent, Marie-Jeanne Lesot
This present day, fuzzy tools are of universal use as they supply instruments to address information units in a correct, powerful, and interpretable manner, making it attainable to deal with either imprecision and uncertainties. Scalable Fuzzy Algorithms for info administration and research: tools and layout provides up to date concepts for addressing facts administration issues of good judgment and reminiscence use. This severe mass of the main wanted findings covers a large scope of study parts from either a theoretical and experimental viewpoint.
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Additional info for Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
However, in the last decade the number of reported works on FIS analog implementations has suffered a progressive decay that clearly shows a loss of interest in this technology for applications in this area. This tendency is closely related to the never ending and comparatively much faster advances in digital technologies, and more precisely, to the rapid development of digital reconfigurable devices and the associated drastic changes in design and implementation methodologies. The consolidation of reconfigurable hardware, particularly FPGA technology, together with the standard use of hardware description languages for digital system modeling have revolutionized the field 22 Electronic Hardware for Fuzzy Computation of digital system design in many areas, particularly in fuzzy hardware design.
But in order to make a performance comparison of different designs, more performance indexes have to be added to the bare processing speed. The author proposes the following set of index parameters: • • • • • • • • Number of inputs. Number of outputs. Number of linguistic rules in the knowledge base. Number of MFs in the input universe of discourse. Number of MFs in the output universe of discourse. Number of binary vectors characterizing the membership function (resolution of the input universe of discourse for digital designs).
HPRC provides performance increases that are often of orders of magnitude compared to scalar microprocessors-only-based solutions. In addition, power consumption per gigaflop (floating-point operation per second) is dramatically reduced, form factors are diminished, and the overall price/performance ratio is notably lower. All these promising features make us think HPRC will soon be a preferred option for cutting edge fuzzy (and non-fuzzy) data-mining algorithm processing of large data-bases. CONCLUDINg REMARKs In this chapter we have seen that electronic hardware design for fuzzy computing has been a very active research field during the last twenty years, beginning early after the first successful applications of fuzzy inference systems were published.