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計(jì)算機(jī)科學(xué)學(xué)院學(xué)術(shù)講座:From system modeling to granular system modeling: methodological and algorithmic aspects

發(fā)布時(shí)間:2015-08-18 瀏覽:

講座題目:計(jì)算機(jī)科學(xué)學(xué)院學(xué)術(shù)講座:From system modeling to granular system modeling: methodological and algorithmic aspects

講座人:Witold Pedrycz 加拿大皇家科學(xué)院院士

講座時(shí)間:09:30

講座日期:2015-8-14

地點(diǎn):長(zhǎng)安校區(qū) 圖書館西副樓學(xué)術(shù)報(bào)告廳

主辦單位:計(jì)算機(jī)科學(xué)學(xué)院、圖書館

講座內(nèi)容:The objective of this talk to develop a way of enriching existing practices of system modeling, which typically result in numeric constructs, and make the existing models becoming more in rapport with real world by forming granula rmodels.

In this development, we involve one of the key paradigms of Granular Computing, namely an optimal allocation of information granularity, to deliver conceptual and algorithmic enhancements to system modeling.

Two categories of problems of allocation of information granularity are studied. In the first one, information granularity is distributed across the parameters of the existing model. In the second category of problems, information granularity becomes associated with input variables. In both cases, it is demonstrated how the resulting granular constructs augment the existing modelsand in which way they help realize a holistic way of evaluation of the original models on which their granular counterparts have been formed.

The general facet of the proposed approach is underlined; we highlight that it could be readily applied to a variety of existing models as well as invoke various formalisms of information granules (intervals, fuzzy sets, rough sets, probabilities, etc.)

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