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logica de lo preconciente aportes a la primera topica - Asociación ...

logica de lo preconciente aportes a la primera topica - Asociación ...

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Pab<strong>lo</strong> D. Slemenson“Lógica <strong>de</strong> <strong>lo</strong> <strong>preconciente</strong>”In a paper entitled, Toward a Theory of Fuzzy Information Granu<strong>la</strong>tion and itsCentrality in Human Reasoning and Fuzzy Logic (1997), he initiated a new approach tofuzzy <strong>lo</strong>gic which links fuzzy <strong>lo</strong>gic to granu<strong>la</strong>r computing. The theory <strong>de</strong>scribed in thispaper is likely to have a major impact on fuzzy <strong>lo</strong>gic and its applications.In a paper entitled, From Computing with Numbers to Computing with Words -- FromManipu<strong>la</strong>tion of Measurements to Manipu<strong>la</strong>tion of Perceptions (1999), he initiated acomputational theory of perceptions based on computing with words. This new theorymay well become one of his most important contributions, with wi<strong>de</strong>-rangingapplications in many fields of science and engineering.Lotfi Za<strong>de</strong>h became Professor Emeritus in 1991 but remained active in teaching,research and professional service. Among his major professional contributions since hisretirement has been the initiation of the Berkeley Initiative in Soft Computing (BISC).BISC has over two thousand members and over one hundred institutional affiliates.Currently, Lotfi Za<strong>de</strong>h is serving as a Professor in the Graduate School, UC Berkeley,and Director of BISC.The concept of soft computing -- which was introduced by Lotfi Za<strong>de</strong>h in 1991 -- servesto highlight the emergence of computing methodo<strong>lo</strong>gies in which the accent is onexp<strong>lo</strong>iting the tolerance for imprecision and uncertainty to achieve tractability,robustness and <strong>lo</strong>w solution cost. At this juncture, the principal constituents of softcomputing are fuzzy <strong>lo</strong>gic, neurocomputing, evolutionary computing and probabilisticcomputing, with the <strong>la</strong>ter subsuming belief networks, chaotic systems and parts oflearning theory. What is particu<strong>la</strong>rly important about soft computing is that it facilitatesthe use of fuzzy <strong>lo</strong>gic, neurocomputing, evolutionary computing and probabilisticcomputing in combination, leading to the concept of hybrid intelligent systems. Suchsystems are rapidly growing in importance and visibility.Currently, Lotfi Za<strong>de</strong>h's work is focused on the <strong>de</strong>ve<strong>lo</strong>pment of the methodo<strong>lo</strong>gy ofcomputing with words and the computational theory of perceptions. The computationaltheory of perceptions may be viewed as a new direction in fuzzy <strong>lo</strong>gic.Apendice 310

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