Fuzzy Henstock-Kurzweil Triple Integral on a Type 1 Quasi-Fuzzy Parallelepipedal Domain ()
1. Introduction
The term fuzzy integral was introduced by Sugeno [1] . In order to evaluate a fuzzy set, some methods digital ones have recently been proposed. Wu [2] [3] , Allahviranloo [4] and Fariborzi [5] [6] have developed some numerical methods to evaluate fuzzy integrals using quadratic methods and the definition of level sets. Wu and Gong [7] proposed the Henstock integral of a fuzzy-valued function and developed this work by applying the concept of fuzzy function differentiability. Bede and Gal [8] applied the quadrature rule to evaluate the integral of a fuzzy-valued function.
In our previous paper we developed the Henstock-Kurzweil triple integral of a fuzzy function on a classic parallelepiped [9] .
In the present article, we develop this idea for a fuzzy-valued function (function with three variables of which one is fuzzy) by applying Simpson’s rule which is powerful tool for numerical integration, especially when dealing with curves and polynomial functions and introducing Henstock-Kurzweil’s triple integral. Certain domains of space can present random deformations. Thus, determining the centers of gravity of these domains will require taking into account the different variations. These variations can be done according to the three components of space. In this paper, we model these transformations by fuzzy variables and a particular case is treated. It involves taking into account a fuzzy variable among the three variables and treating the other two classically.
In section two, we present some preliminary notions on fuzzy sets as well as some fundamental theorems that we will use later.
In section three, we introduce Simpson’s rule to compute the fuzzy triple integral of Henstock on a quasi-fuzzy parallelepiped. The calculations will be based on Simpson’s rule for the fuzzy triple integral over an almost fuzzy three-dimensional domain. This rule generalizes that used for the calculation of the double fuzzy integral on a quasi-fuzzy two-dimensional domain, Didier and Zerbo [10] . The method involves the approximation of a fuzzy integral on a quasi-fuzzy parallelepiped. To calculate this integral, we use a fuzzy approximation formula based on fuzzy quadratic interpolation polynomials in 3 dimensions, one of which is fuzzy and the other two crisp.
Finally, in order to explain an application of the proposed method, in Section 4, a fuzzy triple integral of a fuzzy function which depends on three variables one of which is fuzzy is evaluated in order to show the effectiveness of the mentioned method.
2. Preliminaries
In this section, we talk about some basic definitions of fuzzy sets theory which are being used in the following.
Definition 2.1. [11] Let X be a non-empty reference set. A nonempty subset
of
such that
is a fuzzy subset (fuzzy set) of X. The function
is itself called fuzzy set.
denotes the degree of membership of the element x in the fuzzy set
.
We denote by XF the collection of all fuzzy-subsets of X.
Definition 2.2. [11] [12] Let
be a real set. Given a fuzzy-subset
satisfying the properties below:
1)
is normal, i.e.
such that
,
2)
is a convex fuzzy set, i.e.,
3)
is upper semi-continuous on
, i.e.
,
such that
.
4) The set
is compact, where
denotes the closure of B.
This function
is called a fuzzy number.
We denote by
the set of all fuzzy real numbers. We define
and
, for
, as the α-cut and respectively the support of a fuzzy number such as
. Moreover, we define
and
.
A triangular fuzzy number
where,
and
is defined by
and
.
Definition 2.3. [11] [12] A set of level
of a fuzzy set satisfies the following properties
and
,
1)
,
2)
,
3)
,
4)
and
.
The theorem below shows that any fuzzy set can be represented by a family of its
cuts
, and it can be represented by its countable sets of level
denoted by
.
Theorem 2.4. [12] Let
and let
be a family of its sets of level
. For all
, we have:
which can also be written
Let
be a family of nonempty closed sets of
such that
with
.
Then the function
defined by
,
is upper semi-continuous. Additionally, it checks
Remark 2.5. A fuzzy set
is said to be convex if for all
, the level set
denoted by
is a sub convex set of
.
We denote by
the family of all convex fuzzy sets.
Definition 2.6. [11] [12] Let
we define for all
and
where
is the characteristic function of the singleton {0}.
For
and
, we can define the sum
and the product
by
and
.
Given
two convex fuzzy sets, another definition of addition is given by
Definition 2.7 [11] The three metrics below generalize the Hausdorff metric: for all
and
; for
.
We note by
3. Triple Simpson’s Rule for the Fuzzy Henstock-Kurzweil Triple Integrals
The concept of the Henstock integral for a fuzzy number-valued function were introduced by Wu and Gong [7] . We introduce this definition for a three-dimensional fuzzy number-valued function in which one of the three variables is fuzzy.
Let
and
,
and
be the partitions of the intervals
and
respectively.
Consider the points
,
;
,
;
,
.
Let
be the partition defined by
In what follows we will define the fuzzy Henstock triple integral.
Let the fuzzy gauge function defined on the type 1 quasi-fuzzy parallelepiped al domain
by
The partition
is said to be
-fine if
where
is the open quasi-fuzzy ball with center
and positive radius
.
The function
is said to be Henstock integrable if
such that
, there exists
(called fuzzy gauge function) such as for any subdivision
-fine (cfr the partition
defined above), we have:
where
is the Fuzzy Henstock Triple Integral.
Definition 3.1. Let
a bounded fuzzy function. So the function
such that
where
For this reason,
is the modulus of oscillation of the function
on
. If furthermore,
is continuous on
, then
is called the uniform continuity modulus of
.
We can prove the following theorem from the definition 3.1.
Theorem 3.2. The following statements, concerning the modulus of oscillation are true.
1)
,
2)
is a non-decreasing mapping in
and
,
3)
,
4)
and
,
5)
for any
.
6) If
and
, then
.
Proof (6) According to the hypothesis,
which is prove the relation.
We can prove similarly the other statements.

Lemma 3.3.
1) If
and
are Henstock triple integrable mappings and if
is Lebesgue integrable, then
2) Let
be a Henstock triple integrabe bounded mapping.
Then,
, the function
defined by
is Lebesgue integrable on
.
Proof (2) If
is Henstock integrable and bounded on
, then it follows that
and
are Henstock triple integrable with
. Therefore,
and
are Lebesgue measurable and uniformly bounded
, [7] . Moreover,
where the
are the rational numbers in
. According to Lebesgue’s dominated convergence theorem, it follows that
is Lebesgue integrable over
and what completes the proof.

Keeping now three integrals we reach the following definitions.
Definition 3.4. A function
is said to be
Lipschitz if for any
,
In order to introduce triple Simpson’s rule for evaluating FHTI, firstly we prove the following theorem.
Theorem 3.5. Let
be a fuzzy Henstock integrable, bounded mapping. Then, for any subdivision
,
,
and any points
,
,
we have
Proof Since that the Henstock integral is additive related to interval [13] , hence,
Since it’s clear that
for any fuzzy constant
, we obtain
By the fourth property of the theorem 3.2, we have
Since the functions
are Lebesgue integrable for
and
from lemma 3.3 we have
From the first property of the theorem 3.2 applied to each of the above integrals we have
which completes the proof.

Corollary 3.6. Let
be a Henstock triple integrable, bounded mapping. Then, for
we have
for any
and
,
and
where
,
;
,
;
,
.
Proof It’s clear that for
and
in the theorem 3.5 the inequality stated above is obtained. 
The corollary below gives the fuzzy variant of Simpson’s threefold rule with a new error bound.
Corollary 3.7. Let
be a Henstock triple integrable, bounded mapping. Then,
Proof
This inequality follows from the previous corollary by setting
,
,
,
,
,
,
,
,
,
,
and
.

Theorem 3.8. Let
be a Lipschitz mapping with the constants
and
. Then, for any subdivision
,
and
.
,
;
,
and
,
;
we have
Proof Similar to the proof of theorem 3.5 we have
We obtain by the definition of a Lipschitz mapping
It follows by direct computation that

4. Numerical Example
Let
,
where
;
;
, and where
is a triangular fuzzy number such that
We must compute the integral
numerically.
Firstly let’s define the different α-cuts below:
where
We must calculate these sixteen integrals while noting that they are two by two equal.
We remark that
i.e.
is a Lipschitz mapping with
and
.
Indeed,
(4.1)
because
From where, 4.1 becomes
Proceeding in the same way for the other integrals we obtain
Finally S becomes
We have for
that
, for
this is shows that
.
In Table 1 below we summarize the results for the different values of
.
5. Conclusion
In this article, it was a question of introducing and evaluating the fuzzy triple integral of Henstock-Kurzweil whose one of the variables is fuzzy, using Simpson’s rule and Hausdorff distance. Therefore, we compute the integral on a quasi-fuzzy parallelepiped domain. In this direction, we have established and demonstrated a theorem which shows the upper limit of the distance between the exact values and approximate. For the rest, it would be possible to do the same analyzes for the integral of a fuzzy function with three variables of which two (or three) are fuzzy on a fuzzy parallelepipedal domain.