d: Division of two LR fuzzy numbers
In Calculator.LR.FNs: Calculator for LR Fuzzy Numbers
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
This function calculates the division of two LR fuzzy numbers.
Although on the basis of Zadeh extension principle, the class of LR fuzzy numbers is not closed under the operations multiplication and division,
but we consider the following approximation for division of fuzzy number M=(m, α, β)_{LR} by fuzzy number N=(n, γ, δ)_{RL} to work easy in the class of LR fuzzy numbers:
M \oslash N
\simeq
≤ft( \frac{m}{n}, \frac{m δ + n α}{n^2}, \frac{m γ + n β}{n^2} \right)_{LR}
Usage
1
d(M, N)
Arguments
M
The first LR (or RL or L) fuzzy number
N
The second LR (or RL or L) fuzzy number
Value
A LR (or RL or L) fuzzy number
Author(s)
Abbas Parchami
References
Dubois, D., Prade, H., Fuzzy Sets and Systems: Theory and Applications. Academic Press (1980).
Dubois, D., Prade, H., Operations on fuzzy numbers. International Journal of Systems Science 9 (1978), 613-626.
Dubois, D., Prade, H., Fuzzy numbers: An overview. In In: Analysis of Fuzzy Information. Mathematical Logic, Vol. I. CRC Press (1987), 3-39.
Dubois, D., Prade, H., The mean value of a fuzzy number. Fuzzy Sets and Systems 24 (1987), 279-300.
Kaufmann, A., Gupta, M.M., Introduction to Fuzzy Arithmetic. van Nostrand Reinhold Company, New York (1985).
Taheri, S.M, Mashinchi, M., Introduction to Fuzzy Probability and Statistics. Shahid Bahonar University of Kerman Publications, In Persian (2009).
Viertl, R., Statistical Methods for Fuzzy Data. John Wiley & Sons, Chichester (2011).
Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences 8 (1975), 199-249.
Examples
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
# Example 1:
Left.fun = function(x) { (1-x)*(x>=0)}
A = L(6, 1, 2)
B = L(3, 2, 3)
xlim=c(-1.5,9)
LRFN.plot( A, xlim=xlim, lwd=2, lty=2, col=2)
LRFN.plot( B, lwd=2, lty=2, col=3, add=TRUE)
LRFN.plot( d(A,B), lwd=2, lty=1, col=1, add=TRUE)
legend( "topright", c("A = L(6, 1, 2)", "B = L(3, 2, 3)", "A / B = L(2, 2.33, 2)")
, col = c(2, 3, 1), text.col = 1, lwd = c(2,2,2), lty = c(2, 2, 1) )
# Example 2:
Left.fun = function(x) { (1-x)*(x>=0)}
Right.fun = function(x) { (1-x^2)*(x>=0)}
A = LR(8, 0.5, 1)
B = RL(2, 1, 1.5)
d(A,B)
d(LR(8, 0.5, 1), RL(2, 1, 1.5))
d(A,A)
d(d(A,B),B)
d(A,d(B,B))
C = LR(-3, 0.5, 1)
d(A,C)
LRFN.plot( A, xlim=c(-3,9.5), lwd=2, lty=2, col=2)
LRFN.plot( B, lwd=2, lty=2, col=3, add=TRUE)
LRFN.plot( d(A,B), lwd=2, lty=3, col=4, add=TRUE)
LRFN.plot( d(d(A,B),B), lwd=2, lty=4, col=1, add=TRUE)
legend( "topleft", c("A = LR(8, 0.5, 1)", "B = RL(2, 1, 1.5)", "A / B = LR(4, 3.25, 2.5)"
, "(A / B) / B = LR(2, 3.125, 2.25)"), col = c(2, 3, 4, 1), text.col = 1, lwd = c(2,2,2)
, lty = c(2, 2, 3, 4) )
## The function is currently defined as
function (M, N)
{
options(warn = -1)
if (messages(M) != 1) {
return(messages(M))
}
if (messages(N) != 1) {
return(messages(N))
}
if ((M[4] == 1 & N[4] == 0) | (M[4] == 0 & N[4] == 1) | (M[4] ==
0.5 & N[4] == 0.5)) {
if ((sign(M) == "Positive") & (sign(N) == "Positive")) {
a1 = M[1]/N[1]
a2 = ((M[1] * N[3]) + (N[1] * M[2]))/(N[1]^2)
a3 = ((M[1] * N[2]) + (N[1] * M[3]))/(N[1]^2)
a4 = M[4]
print(noquote(paste0("the result of division is approximately (core = ",
a1, ", left spread = ", a2, ", right spread = ",
a3, ")", if (a4 == 0) {
paste0(" LR")
}
else if (a4 == 1) {
paste0(" RL")
}
else {
paste0(" L")
})))
return(invisible(c(a1, a2, a3, a4)))
}
else {
return(noquote(paste0(
"A regular approximation is not defined for division since at least one of LR FNs is not positive"
)))
}
}
else {
return(noquote(paste0("Division has NOT a closed form of a LR fuzzy number")))
}
}
Example output
Attaching package: 'Calculator.LR.FNs'
The following object is masked from 'package:base':
sign
[1] the result of division is approximately (core = 2, left spread = 2.33333333333333, right spread = 2) L
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] Division has NOT a closed form of a LR fuzzy number
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 2, left spread = 3.125, right spread = 2.25) LR
[1] Division has NOT a closed form of a LR fuzzy number
[1] Division has NOT a closed form of a LR fuzzy number
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 2, left spread = 3.125, right spread = 2.25) LR
function (M, N)
{
options(warn = -1)
if (messages(M) != 1) {
return(messages(M))
}
if (messages(N) != 1) {
return(messages(N))
}
if ((M[4] == 1 & N[4] == 0) | (M[4] == 0 & N[4] == 1) | (M[4] ==
0.5 & N[4] == 0.5)) {
if ((sign(M) == "Positive") & (sign(N) == "Positive")) {
a1 = M[1]/N[1]
a2 = ((M[1] * N[3]) + (N[1] * M[2]))/(N[1]^2)
a3 = ((M[1] * N[2]) + (N[1] * M[3]))/(N[1]^2)
a4 = M[4]
print(noquote(paste0("the result of division is approximately (core = ",
a1, ", left spread = ", a2, ", right spread = ",
a3, ")", if (a4 == 0) {
paste0(" LR")
}
else if (a4 == 1) {
paste0(" RL")
}
else {
paste0(" L")
})))
return(invisible(c(a1, a2, a3, a4)))
}
else {
return(noquote(paste0("A regular approximation is not defined for division since at least one of LR FNs is not positive")))
}
}
else {
return(noquote(paste0("Division has NOT a closed form of a LR fuzzy number")))
}
}
Calculator.LR.FNs documentation built on May 2, 2019, 8:25 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s) References Examples
Description
This function calculates the division of two LR fuzzy numbers. Although on the basis of Zadeh extension principle, the class of LR fuzzy numbers is not closed under the operations multiplication and division, but we consider the following approximation for division of fuzzy number M=(m, α, β)_{LR} by fuzzy number N=(n, γ, δ)_{RL} to work easy in the class of LR fuzzy numbers:
M \oslash N \simeq ≤ft( \frac{m}{n}, \frac{m δ + n α}{n^2}, \frac{m γ + n β}{n^2} \right)_{LR}
Usage
1 | d(M, N)
|
Arguments
M |
The first LR (or RL or L) fuzzy number |
N |
The second LR (or RL or L) fuzzy number |
Value
A LR (or RL or L) fuzzy number
Author(s)
Abbas Parchami
References
Dubois, D., Prade, H., Fuzzy Sets and Systems: Theory and Applications. Academic Press (1980).
Dubois, D., Prade, H., Operations on fuzzy numbers. International Journal of Systems Science 9 (1978), 613-626.
Dubois, D., Prade, H., Fuzzy numbers: An overview. In In: Analysis of Fuzzy Information. Mathematical Logic, Vol. I. CRC Press (1987), 3-39.
Dubois, D., Prade, H., The mean value of a fuzzy number. Fuzzy Sets and Systems 24 (1987), 279-300.
Kaufmann, A., Gupta, M.M., Introduction to Fuzzy Arithmetic. van Nostrand Reinhold Company, New York (1985).
Taheri, S.M, Mashinchi, M., Introduction to Fuzzy Probability and Statistics. Shahid Bahonar University of Kerman Publications, In Persian (2009).
Viertl, R., Statistical Methods for Fuzzy Data. John Wiley & Sons, Chichester (2011).
Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences 8 (1975), 199-249.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 | # Example 1:
Left.fun = function(x) { (1-x)*(x>=0)}
A = L(6, 1, 2)
B = L(3, 2, 3)
xlim=c(-1.5,9)
LRFN.plot( A, xlim=xlim, lwd=2, lty=2, col=2)
LRFN.plot( B, lwd=2, lty=2, col=3, add=TRUE)
LRFN.plot( d(A,B), lwd=2, lty=1, col=1, add=TRUE)
legend( "topright", c("A = L(6, 1, 2)", "B = L(3, 2, 3)", "A / B = L(2, 2.33, 2)")
, col = c(2, 3, 1), text.col = 1, lwd = c(2,2,2), lty = c(2, 2, 1) )
# Example 2:
Left.fun = function(x) { (1-x)*(x>=0)}
Right.fun = function(x) { (1-x^2)*(x>=0)}
A = LR(8, 0.5, 1)
B = RL(2, 1, 1.5)
d(A,B)
d(LR(8, 0.5, 1), RL(2, 1, 1.5))
d(A,A)
d(d(A,B),B)
d(A,d(B,B))
C = LR(-3, 0.5, 1)
d(A,C)
LRFN.plot( A, xlim=c(-3,9.5), lwd=2, lty=2, col=2)
LRFN.plot( B, lwd=2, lty=2, col=3, add=TRUE)
LRFN.plot( d(A,B), lwd=2, lty=3, col=4, add=TRUE)
LRFN.plot( d(d(A,B),B), lwd=2, lty=4, col=1, add=TRUE)
legend( "topleft", c("A = LR(8, 0.5, 1)", "B = RL(2, 1, 1.5)", "A / B = LR(4, 3.25, 2.5)"
, "(A / B) / B = LR(2, 3.125, 2.25)"), col = c(2, 3, 4, 1), text.col = 1, lwd = c(2,2,2)
, lty = c(2, 2, 3, 4) )
## The function is currently defined as
function (M, N)
{
options(warn = -1)
if (messages(M) != 1) {
return(messages(M))
}
if (messages(N) != 1) {
return(messages(N))
}
if ((M[4] == 1 & N[4] == 0) | (M[4] == 0 & N[4] == 1) | (M[4] ==
0.5 & N[4] == 0.5)) {
if ((sign(M) == "Positive") & (sign(N) == "Positive")) {
a1 = M[1]/N[1]
a2 = ((M[1] * N[3]) + (N[1] * M[2]))/(N[1]^2)
a3 = ((M[1] * N[2]) + (N[1] * M[3]))/(N[1]^2)
a4 = M[4]
print(noquote(paste0("the result of division is approximately (core = ",
a1, ", left spread = ", a2, ", right spread = ",
a3, ")", if (a4 == 0) {
paste0(" LR")
}
else if (a4 == 1) {
paste0(" RL")
}
else {
paste0(" L")
})))
return(invisible(c(a1, a2, a3, a4)))
}
else {
return(noquote(paste0(
"A regular approximation is not defined for division since at least one of LR FNs is not positive"
)))
}
}
else {
return(noquote(paste0("Division has NOT a closed form of a LR fuzzy number")))
}
}
|
Example output
Attaching package: 'Calculator.LR.FNs'
The following object is masked from 'package:base':
sign
[1] the result of division is approximately (core = 2, left spread = 2.33333333333333, right spread = 2) L
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] Division has NOT a closed form of a LR fuzzy number
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 2, left spread = 3.125, right spread = 2.25) LR
[1] Division has NOT a closed form of a LR fuzzy number
[1] Division has NOT a closed form of a LR fuzzy number
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 4, left spread = 3.25, right spread = 2.5) LR
[1] the result of division is approximately (core = 2, left spread = 3.125, right spread = 2.25) LR
function (M, N)
{
options(warn = -1)
if (messages(M) != 1) {
return(messages(M))
}
if (messages(N) != 1) {
return(messages(N))
}
if ((M[4] == 1 & N[4] == 0) | (M[4] == 0 & N[4] == 1) | (M[4] ==
0.5 & N[4] == 0.5)) {
if ((sign(M) == "Positive") & (sign(N) == "Positive")) {
a1 = M[1]/N[1]
a2 = ((M[1] * N[3]) + (N[1] * M[2]))/(N[1]^2)
a3 = ((M[1] * N[2]) + (N[1] * M[3]))/(N[1]^2)
a4 = M[4]
print(noquote(paste0("the result of division is approximately (core = ",
a1, ", left spread = ", a2, ", right spread = ",
a3, ")", if (a4 == 0) {
paste0(" LR")
}
else if (a4 == 1) {
paste0(" RL")
}
else {
paste0(" L")
})))
return(invisible(c(a1, a2, a3, a4)))
}
else {
return(noquote(paste0("A regular approximation is not defined for division since at least one of LR FNs is not positive")))
}
}
else {
return(noquote(paste0("Division has NOT a closed form of a LR fuzzy number")))
}
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.