空间信息分级粒化,实现高效、有效的业务活动监控

V. Kanagavalli, K. Raja
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引用次数: 6

摘要

分级粒化是模糊逻辑系统的一个重要特征。它是用来模拟人类解释和吸收知识的过程,给定不确定的情况下,不精确的数据在手。空间区位是决定商业活动成功与否的重要因素。企业的成败取决于其处理数据以做出明智决策的方式。尽管业务活动和决策往往依赖于足够的推测和良好驱动的信息,但在这个领域中存在无数的模糊情况。数据的空间成分在很大程度上被商界所忽视,或者只是作为补充信息呈现。现在,人们已经意识到空间数据对业务提升的重要性和影响。空间信息的粒化可能是由于数据的缺乏,也可能是一种成本削减措施或隐私保护措施。本文探讨了对新闻报道、客户反馈等空间数据进行分级(模糊)粒化处理的范围和应用,以提高业务活动监控的效率和效果。
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Graduated granulation of spatial information for efficient, effective business activity monitoring
Graduated Granulation is an important feature of fuzzy logic system. It is used to imitate the process of human interpretation and assimilation of knowledge, given an uncertain situation with imprecise data at hand. Spatial locations are an important factor attributing to the success of business activities. The business prospers or perishes depending upon the way it handles its data for making smart decisions. Though business activities and decisions often rely on enough speculations and well driven information, there are umpteen number of fuzzy situation in this domain. The spatial component of data has been for large time ignored by the business community or was presented only as supplementary information. Now, people have realized the importance and impact of spatial data on the business enhancement. Granulation of spatial information may be due to want of data or may be a cost cut off measure or privacy preserving measure. This paper discusses the scope and application of graduated (fuzzy) granulation of spatial data from news articles, customer feedbacks for increasing the efficiency and effectiveness of the business activity monitoring.
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