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A Study of Granular Computing-a New Method of Problem Solving

Abstract

粒计算是最近几年提出并正在快速发展和引起广泛兴趣的新的研究领域.其基本思想是利用粒来进行问题求解.一个粒是由一组具有不可分辨性,或相似性,或接近性,或功能性等关系的元素组成的集合.粒计算能根据问题求解的实际需要,使用具有相应尺度的信息粒(相关元素的集合)来进行计算,舍弃了其它与当前问题无关的信息细节,从而简化了问题的求解.当求解包含不确定和模糊的信息的问题时,粒计算把那些不可区分的对象作为一个整体(信息粒)而不是个体来处理,从而达到近似求解的目的.实际上有些问题得到近似的结果就足够了.粒计算通常使用较粗尺度的粒来进行问题求解,从而减少了问题求解的代价.本文结合粒计算的思想,对商空间理论、粗糙集...Granular computing is a new booming topic which has been proposed recently and is bringing a wide interest. Its underlying idea is the use of granules for problem solving. A granule is a set of elements that are drawn together by indistinguishability, similarity, proximity, or functionality. Granular computing utilizes information granules with appropriate size to resolve problems in terms of the ...学位:工学硕士院系专业:计算机与信息工程学院自动化系_系统工程学号:20023103

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