Palermo, Italy

Enrico Pelos


Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2001-2002

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2 patents (USPTO):Explore Patents

Title: Enrico Pelos: Innovator in Fuzzy Logic Processing

Introduction

Enrico Pelos is a notable inventor based in Palermo, Italy, recognized for his contributions to the field of fuzzy logic processing. With a total of 2 patents, Pelos has made significant advancements in the architecture of fuzzy processors, enhancing their capabilities to handle both fuzzy and non-fuzzy instructions.

Latest Patents

Pelos's latest patents include a "Fuzzy Processor with Architecture for Non-Fuzzy Processing" and a "Fuzzy Logic Electronic Processor." The first patent describes a fuzzy processor that integrates a fuzzy rule processor, an internal fuzzy instruction memory, and an arithmetic-logic unit. This innovative architecture allows the processor to execute non-fuzzy instructions typical of conventional microprocessors while concurrently loading external knowledge bases and fuzzy rules. The second patent outlines a processor that operates in a fuzzy logic mode, featuring a fuzzyfication unit, a processing unit, and a defuzzyfication unit. This design enables the processor to compute membership values, produce fuzzy sets, and translate inference results into crisp values.

Career Highlights

Throughout his career, Enrico Pelos has worked with prominent organizations such as the Consorzio per la Ricerca sulla Microelettronica nel Mezzogiorno and SGS-Thomson Microelectronics S.r.l. His work in these companies has contributed to the advancement of microelectronics and fuzzy logic technologies.

Collaborations

Pelos has collaborated with notable individuals in his field, including Biagio Giacalone and Francesco Pappalardo. These partnerships have fostered innovation and development in fuzzy logic processing.

Conclusion

Enrico Pelos stands out as a significant figure in the realm of fuzzy logic processing, with his patents reflecting a deep understanding of both fuzzy and non-fuzzy systems. His contributions continue to influence the field and inspire future innovations.

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