Database Reference
In-Depth Information
attributes. Note that the resultant fuzzy relations may no longer retain the values of the source attributes.
With the special meaning attached to the source attribute, we design manipulation operations that involve
the source attributes, which are called fuzzy tuple source (FTS) relational algebraic operators.
Data Types and Their Manipulation Methods
Data Types:
FTS model considers all the eight different data types for fuzzy relational representations
proposed by Rundensteiner et al (1989) as given below that correspond to the approach of Zemankova
and Kandel (Kandel, 1986; Zemankova and Kandel, 1985).
i. A single scalar (e.g. Aptitude=good),
Table 3. Source relation to provide source(context) semantics
Source
Organization Unit
Location
DBMS
DBA
DB
1
Personnel Dept.
IIT Delhi
ORACLE7
Gupta
DB
2
Commercial Dept
IIT Kanpur
ORACLE9
Nanda
Table 2. Integration of two export fuzzy instances
Employee=merge(Faculty, Emp)
Name
Age
Health
Dept
Exp
Pay
IT
Source
y old
3
y poor
1
y highT24
E
y highT24
P
y
2
mod
Datta
CS
DB
1
3
3
T
u mid
2
u avrg
2
u
2
mod
u
2
mod
u
2
mod
John
CE
DB
1
E
P
T
y mid
2
y
good
y low
E
y
2
mod
y highT24
T
Soma
MA
DB
1
3
1
P
3
y
old
y
poor
y
highT24
E
v
highT24
P
v
highT24
T
Datta
CS
DB
2
33
11
33
16
17
v
old
v
poor
v
25
mod
y
highT24
P
y
highT24
T
Dhar
ME
DB
2
22
23
E
32
24
v
old
v
good
y
highT24
E
v
36
mod
y
highT24
T
John
CE
DB
2
32
33
33
P
24
v mid
42
v
good
y
highT24
E
y
highT24
P
v
lowT47
T
Mona
EC
DB
2
43
33
32
47
v
old
v
avrg
v
55
mod
y
highT24
P
y
highT24
T
Ram
CS
DB
2
52
53
E
32
24
y mid
22
y
good
y
13
mod
y
22
mod
y
31
mod
Soma
MA
DB
2
32
E
P
T
