{"title":"Graduated granulation of spatial information for efficient, effective business activity monitoring","authors":"V. Kanagavalli, K. Raja","doi":"10.1109/RSTSCC.2010.5712809","DOIUrl":null,"url":null,"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.","PeriodicalId":254761,"journal":{"name":"Recent Advances in Space Technology Services and Climate Change 2010 (RSTS & CC-2010)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Recent Advances in Space Technology Services and Climate Change 2010 (RSTS & CC-2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSTSCC.2010.5712809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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.