Abstract
In this manuscript, we present the classical Hutchinson–Barnsley theory on the product neutrosophic fractal spaces by utilizing an iterated function system, which is enclosed by neutrosophic Edelstein contractions and a finite number of neutrosophic b-contractions. Further, we provide a sequence of sets that, under appropriate conditions and in terms of the Hausdorff neutrosophic metric, converge to the attractor set of specific neutrosophic iterated function systems. Furthermore, we present a fuzzy variant of α-dense curves that can accurately approximate the attractor set of certain iterated function systems with barely noticeable and controlled errors. In the end, we make a connection between the above-discussed concepts of neutrosophic theory and α-density theory.
1. Introduction
Fractals have a wide range of applications in biomedicine [], quantum physics [], computer graphics [], and several other areas of science. Extensive usage of the theory of discrete dynamical systems, which is explicitly known as the idea of iterated function system (IFS), was started by ancient mathematicians, and it is used to construct fractal and self-similar sets. Self-similarity is not only an asset of a fractal set, but it may also be used to define the fractal and self-similar sets. A stable compact subset of a complete metric space (MS) produced by the iterated function system of contractive mappings was configured by Hutchinson [], who developed a theory called the Hutchinson–Barnsley (HB) theory by employing the Banach contraction principle. A very well-known application of fractal theory, especially the utilization of self-similarity property, is encountered in fractal image compression, which is also termed fractal image encoding. One of the primary goals of this perception is to consider the fractal transform operator that is directly gained from the perception by considering the fractal transform maps, and the undertaken image function will be approximated by the attractor of the associated contractive operator. Rajkumar and Uthayakumar [] constructed a distance function of fuzzy points, and using this metric, they presented a complete MS via fuzzy-valued image functions. Subsequently, they defined a fractal transform operator on the newly produced complete MS.
Zadeh [] initiated the theory of fuzzy sets (FSs) and several notions of fuzzy MSs (FMSs), and their properties have been analyzed by several mathematicians; see [,]. Then, Park [] provided the notion of intuitionistic FMSs (IFMSs), which is a common idea of FMS introduced by George and Veeramani []. Similar to FMSs, there are several research papers available on the concept of generalized fuzzy topological spaces. Twenty-five years back, FSs and fuzzy topology were generalized to a new concept that includes the non-membership function, called intuitionistic FS and intuitionistic fuzzy topology. Especially, Coker [] introduced the notion of an intuitionistic fuzzy topological space.
Further, an analysis of the fuzzy fractal space and intuitionistic fuzzy fractal space was performed by Easwaramoorthy and Uthayakumar [,,]. In their work, they investigated the attractors constructed by the IFS of fuzzy contractive mappings in both FMS and IFMS by generalizing the HB theory. Additionally, they discussed several naming theorems, such as the Collage theorem and the falling leaves theorem, in the setting of standard FMS and standard Hausdorff MS. A generalized fuzzy Hausdorff distance on the set of compact subsets of a generalized FMS can be constructed utilizing the technique that is described by Alihajimohammad and Saadati []. Additionally, they defined the concept of generalized fuzzy fractal spaces. Alaca et al. [] used the idea of intuitionistic FS and defined the concept of IFMSs. Secelean [] investigated the IFS composed of generalized contractions and several fixed point (FP) theorems from the classical HB theory of IFS involving the Banach contraction principle. Barnsley and Vince [] established that a projective IFS has at most one attractor. García, [] introduced a novel method to approximate the attractor set of a countable IFS with an arbitrarily barely noticeable and controlled error. Schweizer and Sklar [] introduced the concept of statistical MSs. Rahmat and Noorani [] generalized the notion of the product of probabilistic MSs and extended it to the family of FMS.
The concept of neutrosophic sets (NSs) was first presented by Smarandache []. Das et al. [] discussed a multi-criteria group decision-making model via NSs, and Das et al. [] worked on certain algebraic operations and neutrosophic matric spaces (NMSs). The notion of NMS and their topological structure was investigated by Kirisci and Simsek []. The notion of neutrosophic bitopological spaces (NbTSs) was proposed by Das and Tripathy [] while pursuing pairwise neutrosophic-b-open sets. The pairwise neutrosophic b-continuous function in NbTSs was established by Tripathy and Das []. The concept of neutrosophic multiset topological space was proposed by Das and Tripathy []. Multivalued fractals’ numerical aspects were discussed by Fiser []. Using an iterated multifunction system that includes a finite number of neutrosophic B-contractions and neutrosophic Edelstein contractions, Saleem et al. [] established the idea of multivalued fractals in NMSs. The HB operator on the product FMS and fuzzy B-contraction was presented by Uthayakumar and Gowrisankar []. See for more related results [,].
Bounemeur et al. [] discussed the fuzzy fault-tolerant control using fuzzy systems for a class of uncertain SISO systems with unknown control gain sign and actuator faults. Bounemeur and Chemachema [] presented an adaptive fuzzy fault-tolerant tracking control for a class of unknown multi-variable nonlinear systems, with external disturbances, unknown control signs, and actuator faults. Bey and Chemachema [] introduce a decentralized event-triggered fault-tolerant echo-state network (ESN) direct adaptive controller for uncertain interconnected nonlinear systems in pure-feedback form. Bounemeur and Chemachema [] present a finite-time fault-tolerant fuzzy adaptive controller for uncertain interconnected nonlinear systems in strict-feedback form.
Barnsley [] introduced how fractal geometry can be used to model real objects in the physical world. Sagan [] discussed Peano’s Space-Filling Curve. Mora, and Cherruault [] introduced the -dense curve and also discussed the -stochastically independent functions.
In this study, we use an iterated function and present the classical HB theory on the product neutrosophic fractal space, which is enclosed by neutrosophic Edelstein contractions and a finite number of neutrosophic b-contractions. Further, we provide a sequence of sets that, under appropriate conditions and in terms of the Hausdorff NMS, converge to the attractor set of specific neutrosophic IFS. Moreover, we present a fuzzy variant of α-dense curves that can accurately approximate the attractor set of certain iterated function systems with barely noticeable and controlled errors. In addition, we make a connection between the above-discussed concepts of neutrosophic theory and α-density theory.
This manuscript is organized as follows. In Section 2, we present some definitions of Hausdorff metric spaces and their completeness, IFS, HP operator, CTN, CTCN, intuitionistic fuzzy metric space, intuitionistic IFS, product fuzzy metric spaces, and neutrosophic metric spaces. In Section 3, we discuss fuzzy comparison functions, dense curves, and densifiable sets. In Section 4, we use densifiable techniques and approximate the neutrosophic fractals. In Section 5, we extend this notion to a finite number of NMS having neutrosophic B-contraction and neutrosophic Edelstein contraction as the neutrosophic IFS.
2. Preliminaries
In this section, we present some definitions and results from the existing literature that help to understand the main results.
Definition 1
([]). The Hausdorff metric is defined by
for each
It is generally known that is a complete MS (for instance, see []). A mapping is said to be an
-contraction, if for some satisfies
for all
.
Definition 2
([]). Suppose is an
-contraction for some
, where
Then,
is said to be an IFS.
Definition 3
([]). Suppose is an IFS. A map (set-valued)
given as
is called an HB operator.
Theorem 1
([]). Let be an HB operator and
be an IFS. Then, for
is an
-contraction, its (unique) FP,
is called a fractal (or attractor set) of the IFS
and
for
Furthermore, for each
we can write
Definition 4
([]). A binary operation is said to be a continuous t-norm (CTN) if it fulfills the below axioms:
- (i)
- (i)
- (iii)
- is continuous;
- (iv)
- (v)
Definition 5
([]). A binary operation is said to be a continuous t-conorm (CTCN) if it satisfies properties (i), (ii), (iii), and (v) with respect to
instead of
and (vi)
instead of (iv) in the above definition.
Definition 6
([]). A 5-tuple is said to be an IFMS if
is a CTN,
is a CTCN, and
are FSs on
verifying the below assertions:
- (i)
- (ii)
- (iii)
- (iv)
- (v)
- (vi)
- (vi)
- are continuous;
for
and for each
. Then the pair
is said to be an IFM on
.
Definition 7
([]). For each and
let
Then, the Hausdorff IFM
is defined as
and
Clearly,
is an IFM on
and hence
is an IFMS, called the Hausdorff IFMS.
Proposition 1
([]). The following axioms are equivalent:
- (i)
- is complete;
- (ii)
- The standard IFMS induced by is complete;
- (iii)
- The IFMS is complete.
Proposition 2.
([]). The Hausdorff IFM of the standard IFM
coincides with the standard IFM
of the Hausdorff metric on
we write
for every
and
.
In the next definitions, we study the notions of IFS in IFMSs.
Definition 8
([]). Given is said to be an intuitionistic fuzzy
-contraction (IFC) in
for
, if
for each
and
. If
, for
is an IFC, for some
, then
is said to be an intuitionistic fuzzy IFS (IF-IFS) in the context of
Proposition 3.
An
is said to be an IFS if and only if
is an IF-IFS in the context of
The HB operator in the setting of the Hausdorff IFMS is defined in [] as follows:
Definition 9
([]). Suppose is an IF-IFS in the context of
Then, the intuitionistic fuzzy HB operator (IF-HB operator), is a map (set-valued)
defined by
Definition 10
([]). Let and
be two FMSs and
For
and
we write
Then,
is a fuzzy metric on
and the triple
is called the product FMS of
and
.
Definition 11
([]). Let be a product space. Define
and suppose
be the function on
given by
Then,
is an FMS said to be a standard product FMS and
be the standard product fuzzy metric induced by the metric
.
Definition 12
([]). Let be a FMS. Let
be a fuzzy B-contraction on
and
be a product FMS of
and
be N-fuzzy B-contraction mappings defined by
Then, the system
is said to be a fuzzy IFS of fuzzy B-contraction on the product FMS
Definition 13
([]). Let be a product FMS. Let
be a fuzzy IFS of fuzzy B-contraction on
Let
be a fuzzy IFS of fuzzy B-contraction on
Let
be the set of all non-empty compact subsets of
Then, the fuzzy HB operator of the fuzzy IFS of fuzzy B-contraction on
is a function
defined by
That is,
Definition 14
([]). Let be a complete FMS. Let
be a fuzzy IFS of fuzzy B-contraction on
and
be the fuzzy HB operator of the fuzzy IFS of fuzzy B-contraction on
The set
is the product fuzzy attractor (product fuzzy fractal) of the given fuzzy IFS of fuzzy B-contractions; if is a unique FP of the fuzzy HB operator
is also called as product fuzzy fractal generated by the fuzzy IFS of fuzzy B-contraction.
Definition 15
([]). A 6-tuple is said to be an NMS, if
is a CTN,
is a CTCN and
and
are NSs defined on
satisfying the following conditions:
- (i)
- (ii)
- (iii)
- (iv)
- (v)
- (vi)
- is continuous;
- (vii)
- (viii)
- (iv)
- (x)
- (xi)
- is continuous;
- (xii)
- (xiii)
- (xiv)
- (xv)
- (xvi)
- is continuous;
for each
and
The three tuple
is said to be a neutrosophic metric on
.
Definition 16
([]). Assume is a standard NMS and if there is
and
The family
is entitled as the open ball having center
and radius
with respect to
Definition 17
([]). Assume that is an NMS and
is the topology on
produced by the neutrosophic metric
on
. Then
- (1)
- A sequence converges to if and as
- (2)
- A sequence is known as a Cauchy sequence if for each and each there exists such that and for all
- (3)
- If every Cauchy sequence is convergent in with respect to Then, it is known as complete NMS.
- (4)
- is said to be compact if every sequence has a convergent subsequence.
Definition 18
([]). For each and
let
Then, the Hausdorff NM
is defined as
and
Clearly,
is an NM on
and hence
is an NMS, called the Hausdorff NMS.
Theorem 2.
Let
be a complete MS,
a NIFS in
, and the neutrosophic HB operator. Then,
is a
-contraction, with
its (unique) FP
is called the attractor of the NIFS
and
for every
Furthermore, for each
Example 1.
Let
, CTN
and CTCN
Define
and
by
Then,
is an NMS. Assume that
are self-mappings, and
then the unique FP (attractor)
If
so
continue this process the
converges to an attractor
This shows that NIFS
fulfills all the conditions of Theorem 2.
3. α-Dense Curves and Densifiable Sets
In this part, we introduce and discuss some definitions and results from the existing literature.
Definition 19
([]). A function (continuous) is said to be a fuzzy comparison function (FCF), if
satisfies the below assertions for each
- (i)
- is decreasing;
- (ii)
- (iii)
Definition 20
([]). Let be an FMS,
and
a FCF. A map (continuous)
is called a fuzzy
-dense curve in
with respect to the FCF
if it verifies the below assertions:
- (i)
- (ii)
- for each there is such that for every
Proposition 4
([]). Let be a standard FMS induced by
bounded. Suppose
is a curve that is
-dense in
for some
Then,
is a fuzzy curve that is
-dense in
with respect to the
Therefore,
is fuzzy densifiable with respect to the
if it is densifiable.
Definition 21
([]). Set and bounded. A map (continuous)
is called a curve that is
-dense in
, if verifies the below assertions:
- (i)
- (ii)
- for any there is such that
The
is called densifiable if there is a curve that is
-dense in
for each
Noticeably, given a bounded
always, we get a curve that is
-dense in
for some
Therefore, for fixed
is a curve that is an
-dense in
when
Example 2.
A mapping
for each positive integer
and
given by
for all
is a
dense curve in
called the cosine curve.
Proposition 5
([]). Under the above conditions, we have
Since, in the context of standard IFMS
is an IF-IFS formed by by Proposition 3, the following conclusion is obtained when we examine an IF-HB operator and its FP (i.e., the intuitionistic fuzzy fractal of ).
Proposition 6.
The Hausdorff neutrosophic metric of the standard neutrosophic metric
coincides with the standard neutrosophic metric
of the Hausdorff metric on
we have
for every
and
.
The below results establish important bounds on the relationships between a sequence of sets and a fixed set within a densifiable metric space These bounds are expressed in terms of specific Hausdorff-type measures and which are fundamental in analyzing the geometric and topological properties of sets in a metric space.
Theorem 3.
Let be densifiable and suppose
is a sequence given in Proposition (5). Then,
the inequalities
hold for every
where
Proof.
Fixed by Proposition 5, we have
Next, given by Proposition 6 and noticing (4) we have
and, as
and given by Proposition 6 and noticing (4), we have
and the result follows.
We obtain a sequence from the preceding result for the approximation (small and controlled error) of the neutrosophic fractal of as we can say that the degree of membership function between and rises with even though the degree of non-membership function falls and degree of neutral function for each Correctly:
for all Furthermore, each be a set that is finite, and consequently, by utilizing the appropriate software it can be drawable. □
Example 3.
Let
and CTN
CTCN is
Then,
is an NMS, where
. Assume that NIFS
has the attractor set that is sierpinsky triangle
as shown in Figure 1, where
For every
Then in Figure 2 we use the so-called chaos game (see []) for the approximation of We start with
and generate some points with a cosine curve (see []) and Proposition 5.
Figure 1.
Shows the approximation of
Figure 2.
Shows the graphical behavior of dense curve for different values of
In this case and for every Therefore, all the inequalities of Theorem 3 are held.
4. Approximating Neutrosophic Fractals by Densifiability Techniques
In this section, we discuss some results in NMSs and define the concept of neutrosophic -contraction (NC).
Definition 22.
Given
and
is said to be an NC in
if
for each
and
If
for
is an NC, for some
then
is said to be a neutrosophic IFS, shortly NIFS, in
For an IFS, the following lemma is provided in Lemma 2 of [], however, it is also valid for a NIFS.
Lemma 1.
For each
we have
the union being performed over all possible
and
We will also require the following lemmas, which are simply proved by applying the inequalities and definitions involved as follows:
and
for every
and
Lemma 2.
For each
and
we have the inequalities
Lemma 3.
Let
be an FMS and
a fuzzy curve that is
-dense in
, for some
with respect to the function
that is also fuzzy comparison. Then, in
for each
there is
following:
for every
The next theorem extends approximation and convergence concepts into the fuzzy set theory framework by incorporating fuzzy structures and measures. It provides recursive bounds on the proximity between a set and a sequence of fuzzy-constructed sets within a fuzzy densifiable space relative to a fuzzy comparison function.
Theorem 4.
Let
is fuzzy densifiable with respect to function (fuzzy comparison)
and suppose
is a fuzzy curve that is
-dense in
, for every
with respect to the function
as
and
for all
and
For fixed
assume
and for
define
for all
, for each
and some
where
and
where
for
and
for
Then, we have
and
for every
and
Proof.
Let any and As and belong to by Lemmas 1 and 2, we have
also, in view of Definition 22, as
for every and , we infer that
and therefore,
So, by replacing (12) with (11), we find
Next, we need to estimate Let put for some and , and take (by virtue of Lemma 3) with such that Then, from this and noticing Definition 22, we have
From the arbitrariness of we conclude
Likewise, we can prove that
and therefore
So, replacing (14) in (13) the inequality (8) follows. Therefore, by applying the Lemmas 1 and 2, we get
and similarly, as above, we can write
Then, replacing (16) in (15), we deduce
To estimate , noticing Lemma 3 and on the same lines as in the inequality (14), we examine that
and combining (18) and (17), the inequality (9) follows. As and belong to by Lemmas 1 and 2, we have
also, in view of Definition 22, we can write
for every and we infer that
So, replacing (20) in (19), we find
Next, we need to estimate Let put for some and and take (by virtue of Lemma 3) with such that Then, from this and noticing Definition 22, we have
From the arbitrariness of we conclude
Likewise, we can prove that
and therefore
So, replacing (22) in (21), the inequality (10) follows. This completes the proof. □
Clearly, the limits obtained in (5)–(7) of Theorem 3 are held in the preceding result as follows:
and
By applying the CTN and CTCN for each we get
5. Product Neutrosophic Fractal Space
Product FMS was investigated by Uthayakumar and Gowrisankar []. They implemented the idea of fuzzy IFS consisting of fuzzy B-contraction in the product FMS. Now, we extend this notion to a finite number of NMS having neutrosophic B-contraction and neutrosophic Edelstein contraction as the neutrosophic IFS.
Definition 23.
Let
be an NMS. Denote
as the set of all non-empty compact subsets of
. We give the definition of the Hausdorff neutrosophic metric represented by
as
where
for all
and
. Here,
is a Hausdorff neutrosophic metric on the hyperspace of compact sets,
. Accordingly,
is said to be a Hausdorff NMS.
Theorem 5.
Let
be an NMS. Then,
is complete if
is compact.
Theorem 6.
Suppose
is an NMS. Then
is complete if
is compact.
Definition 24.
Take
be NMS and let
. For each
and
consider
Then,
is a neutrosophic metric on
, and the
tuple
is called the product NMS of
Definition 25.
Suppose
is a product space. Define
where
is the usual real number multiplication for all
and
. Take
and
be the mappings defined on
by
and
for all
and
Then
is known as the standard product neutrosophic metric produced by the metric space, and
is said to be the standard product neutrosophic metric produced by the metric
Hereafter, we assume that
where
is an NMS, unless otherwise mentioned.
Definition 26.
Suppose
is a NMS and
is a self-mapping on The function is said to be a neutrosophic B-contraction on
if there exist
such that
and
for every
and
Therefore,
is a neutrosophic B-contractions ratio of
The function is said to ba a neutrosophic Edelstein contraction on
if there exist
such that
and
for every
and
Therefore,
is a neutrosophic Edelstein contractions ratio of
The below theorem shows that neutrosophic B-contractions remain preserved under product structures in NMS.
Theorem 7.
Suppose
is an NMS and
be a neutrosophic B-contraction on
. Assume that
is a product NMS of
. Then the function
defined by
is a neutrosophic B-contraction on
.
Proof.
Take and let be the product NMS. Then for any and , by using the assumption that is a neutrosophic B-contraction, we have
and
and in a similar way, we obtain
From the inequalities (26)–(28), we get the required result. □
Example 4.
Let
and CTN
CTCN is
and
and
are two usual metric spaces and their product is
with metric
is
for each
and
in
Then,
is a product of NMS. Assume that
is mapping so
where
and
such that
For better understanding, we show its graphical behavior in Figure 3.
Figure 3.
Shows the graphical behavior of the inequality for and
For better understanding, we show its graphical behavior in Figure 4.
For better understanding, we show its graphical behavior in Figure 5.
Figure 4.
Shows the graphical behavior of the inequality for and
Figure 5.
Shows the graphical behavior of the inequality for and
Therefore, all the conditions of Theorem 7 are satisfied, so the mapping is a neutrosophic B-contraction on
We demonstrate that a neutrosophic Edelstein contraction defined on an NMS naturally extends to its product space in the below theorem.
Theorem 8.
Assume that
is a NMS and
is a neutrosophic Edelstein contraction on
Let
be the corresponding product NMS of
Then the function
represented by
is a neutrosophic Edelstein contraction on
.
Proof.
Let and be the product NMS. For each such that by using the result that is a neutrosophic Edelstein contraction, we have
and
and in a similar way, we obtain
From formulas (30)–(32), we get the required result as follows. □
Example 5.
Let
and CTN
CTCN is
and
and
are two usual metric spaces, and their product is
with
and
for each
and
in
Then,
is a products of NMS. Assume that
is mapping so
where
such that
and
Therefore, all the conditions of Theorem 8 are satisfied, so the mapping
is a neutrosophic B-contraction on
Definition 27.
Let
be an NMS. Suppose
and
are N-neutrosophic B-contraction (respectively N-neutrosophic Edelstein contraction) on
and
is the product NMS of
Assume
are N-neutrosophic B-contraction (respectively N-neutrosophic Edelstein contraction) on the product space given by
Then the collection
is called a neutrosophic IFS of the neutrosophic B-contraction (respectively neutrosophic Edelstein contraction) on the product NMS.
Definition 28.
Assume that
is the product NMS. Let
be a neutrosophic IFS of the neutrosophic B-contraction (similarly neutrosophic Edelstein contractions) on
Take
as the set of all non-empty compact subsets of
Then the neutrosophic HB operator of the neutrosophic IFS of neutrosophic B-contractions (respectively neutrosophic Edelstein contractions) on
is a function
defined by
for all
. That is,
for all
In the next study, we extend neutrosophic B-contractions to the Hausdorff product NMS, ensuring controlled contraction behavior between set-valued mappings.
Theorem 9.
Let
be a product NMS. If
is the associated Hausdorff product NMS. Suppose
is a neutrosophic B-contraction on
Then for
for all
and
Proof.
For any fixed Take all Usage of Theorem 7 implies for any
for all for all and
Similarly, we can get
Now
i.e.,
By replacing by and sup by inf, and changing the corresponding inequality, we have the following:
From inequalities (37)–(39), we have the required inequality. □
Next, the theorem extends the neutrosophic Edelstein contraction to the Hausdorff product NMS, ensuring that the contraction property holds for set-valued mappings.
Theorem 10.
Let
be a product NMS. Suppose
is the related Hausdorff product NMS. Suppose
is a neutrosophic Edelstein contraction on
Then for
for all
such that
Proof.
The proof of the current Theorem will occur by retracting the proof of Theorem 9 for any two disjoint set and for any constant □
In the below theorem, the HB operator formed from a sequence of N-neutrosophic B-contractions retains the B-contraction property in the Hausdorff product NMS.
Theorem 11.
If
is a product of NMS. Let
is the related Hausdorff product NMS. Assume
are N-neutrosophic B-contraction on
Then the HB operator is a neutrosophic B-contraction on
Proof.
Fix take then for a given Using Theorem 7, we get
and
Proceeding on the similar lines, we have
Therefore, is a neutrosophic B-contraction. □
The next result ensures convergence and stability in iterative processes involving complex systems with uncertainty and indeterminate data.
Theorem 12.
If
is a product of NMS. Assume
is the associated Hausdorff product NMS. Suppose
are N-neutrosophic Edelstein contraction on
Then the HB operator is a neutrosophic Edelstein contraction on
Proof.
On the same steps in the proof of Theorem 11 examined this theorem for any . □
The following results guarantee the existence and uniqueness of a compact invariant set as a fixed point of the neutrosophic HB operator in a complete NMS.
Theorem 13.
Suppose
is a complete NMS. Let
be a neutrosophic IFS of neutrosophic B-contractions on
and be the neutrosophic HB operator of the neutrosophic IFS. Then, there exists only one compact invariant set
of the HB operator or, equivalently,
has a unique FP namely
Proof.
Since is a complete NMS and by Theorem 3, we have is also complete Hausdorff NMS. It can be easily shown that the HB operator is a neutrosophic B-contraction by Theorem 9. Then by the neutrosophic Banach contraction theorem (Theorem 7 in Ref. []) and with reference of Definition 28, we say that has a unique FP namely □
Theorem 14.
Suppose
is a complete NMS. Let
be a neutrosophic IFS of neutrosophic Edelstein contraction and
be the neutrosophic HB operator of neutrosophic Edelstein contraction. Then, there exists only one compact invariant set
of the HB operator or, equivalently, has a unique FP namely
Proof.
The same arguments of Theorems 6, 12, and 13 are concluded as the proof. □
Now, we conclude that the neutrosophic attractor or fractal on complete space (respectively, compact space) as the set which is obtained in Theorem 11 for complete space (respectively Theorem 14 for compact space). Such is also called a fractal generated by the neutrosophic IFS of neutrosophic B-contractions (respectively neutrosophic Edelstein contractions) and so-called neutrosophic fractals on complete space (compact space).
6. Conclusions
In this study, we implemented the idea of product neutrosophic fractal space in the sense of neutrosophic B-contraction and neutrosophic Edelstein contraction. We studied the HB theory in this new fractal space and proved that the HB operator is a neutrosophic B-contraction, and neutrosophic Edelstein contraction on the corresponding Hausdorff product neutrosophic metric space having neutrosophic B-contraction and neutrosophic Edelstein contraction as the neutrosophic IFS. Further, we provided the definition for the product neutrosophic fractal produced by the neutrosophic IFS consisting of neutrosophic B-contractions and neutrosophic Edelstein contractions. Furthermore, we introduced a fuzzy version of an α-dense curve that was used by the author to approximate (with arbitrarily small and controlled error) the attractor set of certain IFSs. This work is extendable in the context of neutrosophic controlled metric spaces, neutrosophic partial metric spaces, neutrosophic product partial metric spaces, and many other similar structures.
Author Contributions
Conceptualization, K.A., U.I., G.M., I.-L.P. and F.M.M.; methodology, K.A., U.I., G.M., I.-L.P. and F.M.M.; software, K.A., U.I., G.M., I.-L.P. and F.M.M.; validation, K.A., U.I., G.M., I.-L.P. and F.M.M.; formal analysis, K.A., U.I., G.M., I.-L.P. and F.M.M.; investigation, K.A., U.I., G.M., I.-L.P. and F.M.M.; resources, K.A., U.I., G.M., I.-L.P. and F.M.M.; data curation, K.A., U.I., G.M., I.-L.P. and F.M.M.; writing—original draft preparation, K.A., U.I., G.M., I.-L.P. and F.M.M.; writing—review and editing, K.A., U.I., G.M., I.-L.P. and F.M.M.; visualization, K.A., U.I., G.M., I.-L.P. and F.M.M.; supervision, K.A., U.I., G.M., I.-L.P. and F.M.M.; project administration, K.A., U.I., G.M., I.-L.P. and F.M.M.; funding acquisition, K.A., U.I., G.M., I.-L.P. and F.M.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data will be available on demand from the corresponding authors.
Acknowledgments
The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/48/46.
Conflicts of Interest
The authors declare no conflicts of interest.
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