DocumentCode :
2509673
Title :
Graduated granulation of spatial information for efficient, effective business activity monitoring
Author :
Kanagavalli, V.R. ; Raja, K.
Author_Institution :
Sathyabama Univ., Chennai, India
fYear :
2010
fDate :
13-15 Nov. 2010
Firstpage :
99
Lastpage :
101
Abstract :
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.
Keywords :
business data processing; fuzzy logic; business activity monitoring; business enhancement; fuzzy logic system; graduated information granulation; spatial information; Business; Cognition; Fuzzy logic; Geographic Information Systems; Insurance; Monitoring; Spatial databases; Business Process Monitoring; Fuzzy Logic; Graduated Granulation; Granulation, Graduation; Spatial Data; business Activity Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-9184-1
Type :
conf
DOI :
10.1109/RSTSCC.2010.5712809
Filename :
5712809
Link To Document :
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