Advances in Pure Mathematics
Vol.05 No.03(2015), Article ID:54814,5 pages
10.4236/apm.2015.53016
Elementary Operations on L-R Fuzzy Number
Abdul Alim1, Fatema Tuj Johora2, Shohel Babu2, Abeda Sultana3
1Mathematics, BGMEA University of Fashion and Technology, Dhaka, Bangladesh
2Mathematics, IUBAT―International University of Business Agriculture and Technology, Dhaka, Bangladesh
3Department of Mathematics, Jahanginagar University, Dhaka, Bangladesh
Email: abdulalim@buft.edu.bd
Copyright © 2015 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
Received 26 February 2015; accepted 13 March 2015; published 19 March 2015
ABSTRACT
The aim of this paper is to find the formula for the elementary operations on L-R fuzzy number. In this paper we suggest and describe addition, subtraction, multiplication and division of two L-R fuzzy numbers in a brief.
Keywords:
Fuzzy Number, L-R Fuzzy Number, Membership Function
1. Introduction
A fuzzy set [1] A on, set of real numbers is called a fuzzy number [2] which satisfies at least the following three properties:
1) must be a normal fuzzy set [3] .
2) must be a closed interval for every
.
3) The support [1] of A, must be bounded.
The fundamental idea of the L-R representation of fuzzy numbers is to split the membership function of a fuzzy number
into two curves
and
, left and right of the modal value
. The membership function
can be expressed through parameterized reference functions or shape function L and R in the form
(1)
where is the modal value of the membership function and
and
are the spreads corresponding to the left-hand and right-hand curve of the membership function [4] respectively.
As an abbreviated notation, we can define an L-R fuzzy number with the membership function
in (1) by
(2)
where the subscripts L and R specify the reference functions [5] .
2. Operations on L-R Fuzzy Number
In this section, the formulas for the elementary operations (addition, subtraction, multiplication, division) [5] between L-R fuzzy numbers [5] will be presented.
2.1. Addition of L-R Fuzzy Number
Suppose two fuzzy numbers and
, represented as L-R fuzzy numbers of the form
(3)
The sum is again an L-R fuzzy number of the form
(4)
with the modal value
(5)
and the spreads
(6)
In short we can write
(7)
The left-hand reference functions of both fuzzy numbers and
have to be given by L, and the right- hand reference functions by R.
The formula of the L-R addition in (7) is motivated by the following ways:
We first consider the right-hand curves and
of the L-R fuzzy numbers
and
with
(8)
The degree of membership is taken on for the argument values
(9)
This implies
(10)
and we obtain for the right-hand curve of the fuzzy number
(11)
The same reasoning holds for the left-hand curves of,
and
, and we get
(12)
2.2. Subtraction of L-R Fuzzy Number
Suppose two fuzzy numbers and
, represented as L-R fuzzy numbers of the form
(13)
The opposite of the L-R fuzzy number is defined as
(14)
Now by using (7) we can deduce the following formula for the subtraction of the L-R fuzzy numbers:
(15)
2.3. Multiplication of L-R Fuzzy Number
Let us consider two positive fuzzy numbers and
of the same L-R type given by the L-R representations
(16)
We can construct the right-hand curve of the product
on the basis of the right-hand curves
(17)
of L-R fuzzy numbers and
. In accordance with the deduction of the formula for the L-R addition, the degree of membership
is taken on for the argument values
(18)
This implies
(19)
Two approximations have been proposed, which is referred to as tangent approximation and secant approximation in the following:
2.3.1. Tangent Approximation
Let and
are small compared to
and
and
is in the neighborhood of 1. Then we can neglect the quadratic term
in (19) and we obtain for the right-hand curve
of the approximated product
an expression of the form
(20)
Using the same reasoning for the left-hand curves of,
and
, we deduce the following formula for the multiplication of L-R fuzzy numbers
(21)
2.3.2. Secant Approximation
If the spreads are not negligible compared to the modal values and
, the rough shape of the product
can be estimated by approximating quadratic term
in (19) by the linear term
. This gives the right-hand curve
of the approximated product
in the form
(22)
With the same reasoning for the left-hand curves of,
and
, the overall formula for the multiplication of L-R fuzzy numbers results in
(23)
2.4. Division of L-R Fuzzy Number
An appropriate formulation for the quotient of two L-R fuzzy numbers
and
can be obtained by reducing the division of the fuzzy numbers
and
to the multiplication of the dividend
with the inverse
of the divisor
.
When we consider a fuzzy number which is either positive or negative, i.e.,
, given by the L-R representation
the tangent approximation for the inverse
is defined by
and the secant approximation by
Using the above mentioned identity as well as the approximation formulas for the multiplication of L-R fuzzy numbers on one side and those for the inverse of an L-R fuzzy number on the other, a number of different approximated L-R representations for the quotient
can be formulated.
3. Example
We consider two L-R fuzzy number
Then using Equation (7) we get
Also can be written in the form
Using (15) we get
Also can be written in the form
If we use the tangent approximation the product is approximated by the triangular L-R fuzzy number
Again in the case of secant approximation the result is approximated by
If we use the tangent approximation the inverse is approximated by the triangular L-R fuzzy number
Thus
But if we use the secant approximation the inverse is approximated by the triangular L-R fuzzy number
Thus
4. Conclusion
In this paper we have presented exact calculation formulas for addition, subtraction, multiplication and division of two L-R fuzzy numbers. Finally we have taken two L-R fuzzy numbers as an example and obtained results of addition, subtraction, multiplication and division. We have reviewed some research papers with proper references.
References
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- Hanss, M. (2005) Applied Fuzzy Arithmetic―An Introduction with Engineering Applications. Springer-Verlag, Berlin Heidelberg.
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