Mathematical Problems in Engineering

Volume 2014, Article ID 873498, 7 pages

http://dx.doi.org/10.1155/2014/873498

## Composite Gauss-Legendre Formulas for Solving Fuzzy Integration

^{1}College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China^{2}Department of Public Courses, Gansu College of Traditional Chinese Medicine, Lanzhou 730000, China^{3}College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, China

Received 9 December 2013; Revised 6 May 2014; Accepted 6 May 2014; Published 29 May 2014

Academic Editor: Valentina Emilia Balas

Copyright © 2014 Xiaobin Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

#### Abstract

Two numerical integration rules based on composition of Gauss-Legendre formulas for solving integration of fuzzy numbers-valued functions are investigated in this paper. The methods' constructions are presented and the corresponding convergence theorems are shown in detail. Two numerical examples are given to illustrate the proposed algorithms finally.

#### 1. Introduction

Numerical integration is one of the basic contents in numerical mathematics, and it always plays a vital role in engineering and science calculation. Numerical integration methods are introduced in detail [1]. Numerical integration is always carried out by mechanical quadrature and its basic scheme [2] is as follows: where , , and , , are called coefficients and nodes for mechanical quadrature, respectively. Once the coefficients and nodes are set down, the scheme (1) can be determined.

Over years, some works have emerged about the asymptotic properties of numerical integration methods. However, their results are concise, but reasoning processes are very complicated [3–6]. The topic of fuzzy integration was first discussed in [7]. In 2005, Allahviranloo [8] made a good attempt to use Newton Cot’s methods with positive coefficients for integration of fuzzy functions. For instance, he designed Trapezoidal integration rule and Simpson integration rule for fuzzy integral. Later, they applied the Gaussian quadrature method and Romberg method for approximation of fuzzy integral and fuzzy multiple integral, built a series of formulas for intricate fuzzy integral [8–11], and obtained some good results. But their methods did not have high convergence order.

In this paper, we set up a class of high algebraic accuracy numerical integration methods which are proposed by compositing the two-point and three-point Gauss-Legendre formulas. We design these formulas to calculate integration of fuzzy functions. We also present the methods’ remainder terms and give corresponding convergence theorems. Compared with some approaches for approximating fuzzy integrations before, our methods are superior to those formulas on both amount of calculation and quadrature error. The structure of this paper is as follows.

In Section 2, we recall some basic definitions and results on integration of fuzzy functions. In Section 3, we introduce the two-point and three-point Gauss-Legendre formulas and their composite method. Then we design them to solve fuzzy integration. We also put up methods’ reminder term representations and convergence theorems. The proposed algorithms are illustrated by solving two examples in Section 4 and the conclusion is drawn in Section 5.

#### 2. Preliminaries

##### 2.1. Integration of Fuzzy Function

Let be the set of all real fuzzy numbers which are normal, upper semicontinuous, convex, and compactly supported fuzzy sets.

*Definition 1 (see [12]). *A fuzzy number in parametric form is a pair of functions , , , which satisfies the following requirements:(1) is a bounded monotonic increasing left continuous function,(2) is a bounded monotonic decreasing left continuous function,(3), .

Based on Zadeh’s principle of extension, Goetschel et al. [13] presented fuzzy numbers’ addiction and multiplication by which are as follows. Let , , , and real number , as follows:(1),(2),(3)

For arbitrary fuzzy numbers , , the quantity
is the distance between and . A function is called a fuzzy function. If for arbitrary fixed and , a such that
exists, is said to be continuous.

*Definition 2 (see [14]). *Assume . For each partition of and for arbitrary , , let

The definite integral of over is
provided that this limit exists in the metric . If the fuzzy function is continuous in the metric , its definite integral exists. Furthermore,

It should be noted that the fuzzy integral also can be defined using the Lebesgue-type approach [15, 16]. More details about properties of fuzzy integral are given in [17].

##### 2.2. Gauss-Legendre Formulas

Gauss quadrature formula is the highest algebraic accuracy of interpolation quadrature formula. By reasonably selecting quadrature nodes and quadrature coefficients of the form of we can obtain the interpolation quadrature formula with the highest algebraic accuracy; that is, . Using root nodes of order Legendre orthogonal polynomial on special interval , we can propose Gauss-Legendre quadrature formula (7).

Lemma 3 (see [6]). *The reminder term of Gauss-Legendre quadrature formula (7) is
**
where and are Gauss nodes.**In particular, when , (7) is two-point Gauss-Legendre quadrature formula:
**
where and its reminder term is
**When , (7) is three-point Gauss-Legendre quadrature formula:
**
and its reminder term is
*

##### 2.3. Convergence Order of Composite Method

*Definition 4 (see [18]). *Suppose , and is a composite numerical integration method. If , it satisfies
and we call a order convergent method.

For instance, composite Trapezoid method
and composite Simpson
have two-order and four-order convergence property, respectively.

#### 3. Gauss-Legendre Formulas for Solving Fuzzy Integral

##### 3.1. Composite Formulas and Their Error Reminders

Theorem 5. *Let , , , ; then the reminder term of composite three-point formulas Gauss-Legendre
**
is
**
and it has six-order convergence property.*

*Proof. *We first consider the remainder term of three-point Gauss-Legendre. By Lemma 3,
Let , and
We have
and . Thus, we obtain the reminder term of three-point formulas Gauss-Legendre:

Now we study the integral remainder term of composite three-point Gauss-Legendre:
where is about equidistant partition on . Let , ; then
By means of three-point Gauss-Legendre formula and its reminder term (21), we have
So we get the reminder term of composite three-point Gauss-Legendre as follows:

Since
we know it has six-order convergence property.

In similar way, we obtain the reminder term of composite two-point formulas Gauss-Legendre as follows.

Theorem 6. *Let , , , ; then the reminder term of composite two-point formulas Gauss-Legendre
**
is
**
and it has four-order convergence property.*

##### 3.2. Gauss-Legendre Formulas to Fuzzy Integration

In this subsection, we apply composite Gauss-Legendre formulas to solve fuzzy integration and give their reminder terms and convergence theorems.

Applying formulas (16) and (27) to numerical integration for fuzzy function (13), we have

Theorem 7. *Suppose about and , , ; then the reminder terms of composite three-point Gauss-Legendre formulas (29) for fuzzy integration are
**
where , .*

*Proof. *From formulas (16) and (17), we get

Using the above formula for fuzzy integration in parametric form, we have
where , .

So the reminder terms of composite three-point Gauss-Legendre formulas (29) for fuzzy integration are (31).

Theorem 8. *Let about , ; then
*

*Proof. *From Theorem 7, we have
where , .

Since , are bounded over , we easily get the following fact:
if .

Similarly, we have the following convergence theorem.

Theorem 9. *Suppose about and , , ; then the reminder terms of composite two-point Gauss-Legendre formulas (30) for fuzzy integration are
**
where , . And
*

#### 4. Numerical Examples

*Example 1. *Consider the following fuzzy integral:
The exact solution is .

From the two-point Gauss-Legendre formula:
it is clear that formula (37) holds.

By the two-point Gauss-Legendre formula with
it is clear that formula (37) holds. Now with ,
Equation (38) holds too.

*Example 2. *Consider the following fuzzy integral:
The exact solution is .

We calculate numerically the above integral using Trapezoidal formula, Simpson formula, composite two-point Gauss-Legendre, and three-point Gauss-Legendre methods with , , and . Some comparisons about the numerical solutions and the errors between the different methods are shown in Tables 1, 2, and 3. All data are denoted with eight-bit significant digits and errors are calculated by the distance between exact solution and numerical solution.

From the above tables' figures, we can clearly see that our methods have better approximation than the Trapezoidal formula and Simpson formula on the same fuzzy integration, in which the composite three-point Gauss-Legendre is really the case.

#### 5. Conclusion

In this work, we applied composite Gauss-Legendre formulas to solve fuzzy integral over a finite interval . Since this integration yields fuzzy number in parametric form, we use the parametric form of the methods. The integration of triangular fuzzy number is a triangular fuzzy number. Numerical examples showed that our methods are practical and efficient while computing fuzzy integral on a larger interval .

#### Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

#### Acknowledgments

The work is supported by the Natural Scientific Funds of China (nos. 61262022 and 21175108) and the Youth Research Ability Project of Northwest Normal University (NWNU-LKQN-1120).

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