Processing of Inconsistent Neutrosophic Data and Selecting Primary Key from the Relation

被引：0
|
作者：
De, Soumitra [1 ]
Mishra, Jaydev [1 ]
机构：
[1] Coll Engn & Management, Comp Sci & Engn Dept, Purba Medinipur 721171, W Bengal, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017) | 2017年
关键词：
vague set; neutrosophic set; vague data; neutrosophic data; similarity measure; alpha-; cut; primary key; SETS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Here, we focused to operate imprecise queries on a fuzzy relational database which consists of imprecise data. Neutrosophic set is based on indeterminacy membership value along with other two values which is not present in vague set. Firstly, we have applied similarity measure formula on neutrosophic and vague data for getting the similarity value for each row. Next, we provide a alpha-cut value for the query which is based on imprecise part. The query return back different result sets for different alpha-cut values for checking the closeness between two different set. Finally, we have given suitable examples of vague and neutrosophic data for imprecise query and compare between the two different outcomes and shown that indeterminacy part of a neutrosophic database has given much better result than any other form of imprecise database oriented query. Also we have found the primary key of neutrosophic data from the table which is consists of inconsistent data. This primary key will help us for normalizing the neutrosophic relation.
引用
收藏
页码：317 / 320
页数：4
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