1. Introduction
In 1965, Zadeh proposed the foundational theory of fuzzy sets, initiating a new paradigm for handling uncertainty in mathematical structures [
1]. This idea prompted the formulation of fuzzy analogues of classical analytical structures. One such extension was the fuzzy norm for linear spaces, first explored by Katsaras and later refined by Felbin [
2], who presented an alternate approach incorporating generalized metrics of the Kaleva–Seikkala type. Cheng and Mordeson subsequently introduced fuzzy linear operators and extended their functional structure [
3], and later improvements by Bag and Samanta [
4,
5] laid a deeper foundation for fuzzy functional analysis, especially for bounded linear operators and fixed point theory. More recently, Alegre and Romaguera revisited the Hahn–Banach extension theorem in fuzzy normed spaces, further enriching the theory of fuzzy functional analysis [
6].
In parallel, Atanassov introduced intuitionistic fuzzy sets, enhancing classical fuzzy set theory by associating each element with both a degree of membership and a degree of non-membership. This dualistic layer of uncertainty led Park [
7] to define intuitionistic fuzzy metric spaces and Saadati and Park [
8] to develop intuitionistic fuzzy normed spaces. These developments opened new directions for convergence structures, fixed point theory, and fuzzy topology [
9,
10,
11]. More recently, Alegre and Romaguera introduced fuzzy quasi-norms [
12], relaxing triangle inequality or symmetry conditions and allowing asymmetric or paratopological models; their subsequent work [
13] established results such as the uniform boundedness theorem in this setting. Wu and Li [
14] extended classical theorems, including the open mapping and closed graph theorems, into fuzzy quasi-normed spaces, while related studies on fuzzy inner product spaces and fuzzy norm functions [
15] illustrate the continuing expansion of fuzzy functional analysis.
Although intuitionistic fuzzy normed spaces and fuzzy quasi-normed spaces are well studied, the integration of fuzzy logic into higher-dimensional normed structures, such as 2-normed spaces, remains underexplored. Classical 2-normed spaces, introduced by Gähler, generalize the concept of a norm by measuring the magnitude of a pair of vectors instead of a single vector, providing a framework for multilinear mappings, geometry, and dependence relations.
This work introduces and develops intuitionistic fuzzy 2-normed spaces (IF2NS). Unlike intuitionistic fuzzy normed spaces or fuzzy quasi-normed spaces, an IF2NS employs two variable intuitionistic fuzzy mappings that simultaneously track degrees of membership and non-membership. This dual two-variable structure captures hesitation and ambiguity beyond the reach of classical 2-norms or their fuzzy extensions, offering a clearer representation of uncertainty and stronger tools for analyzing pairwise dependence. A brief comparison with hesitant fuzzy 2-normed spaces is provided later to delineate domain differences.
Within this framework we introduce fuzzy open balls and examine the convergence of sequences, including left and right N Cauchy sequences with respect to the topologies and . We establish fuzzy analogues of fundamental functional analytic theorems, notably the open mapping and closed graph theorems, and we systematically compare these results with their classical and fuzzy counterparts. The intrinsic symmetry of the 2-norm and the intuitionistic fuzzy pair , satisfying and , naturally supports these generalizations.
By capturing dual uncertainty in a pairwise setting, IF2NS provides a tool for modeling complex data in areas such as multi-criteria decision making, information fusion, and uncertain network analysis, where relationships among pairs of variables are inherently fuzzy. This study was inspired by recent advances in intuitionistic fuzzy quasi-normed theory and by structural explorations in fuzzy operator theory and fuzzy topological vector spaces by several authors; our aim is to clarify the relationship between higher order fuzzy norms and existing frameworks and to stimulate further research in both theory and applications.
2. Preliminaries
This section lays out the fundamental notions necessary for constructing the theory of intuitionistic fuzzy 2-normed spaces. We begin with continuous t-norms and t-conorms, then recall the definitions of fuzzy sets, intuitionistic fuzzy sets, quasi-normed structures, classical 2-normed spaces, and their extensions to the intuitionistic fuzzy context. A brief reminder of the basic definition of a topology is included so that the induced structures can be described precisely.
Definition 1 ([
2])
. A mapping is called a continuous t-norm provided it satisfies the following- (a)
for all .
- (b)
for all .
- (c)
whenever and .
- (d)
for all .
- (e)
is continuous on .
Definition 2 ([
2]).
A function is a continuous t-conorm if it satisfies the following: - (a)
for all .
- (b)
for all .
- (c)
whenever and .
- (d)
for all .
- (e)
∘ is continuous on .
Example 1. The standard pair of operationsdefine a continuous t-norm and a continuous t-conorm, often denoted respectively by and . Example 2. Let . For and definefor every . Take the t-norm and t-conorm asThen the pair together with satisfies all the axioms of an intuitionistic fuzzy 2-normed space: symmetry in , homogeneity, the convolution properties with respect to ∗ and ∘, and the limiting conditions and . Hence is an IF2NS whose t-norm and t-conorm are not
the classical min and max. Proposition 1 ([
12]).
Let ★
and ∘ be continuous t-norm and t-conorm on . From this, the following can be expressed: - (i)
If , there exist such that and .
- (ii)
For every there exist such that and .
Proof. (i) Fix and consider . The map f is continuous and nondecreasing with and . If , by the intermediate value theorem, there exists with ; hence .
For the t-conorm part, fix and consider . Then g is continuous and nondecreasing, and and . Since , there exists such that , i.e., , proving .
(ii) The maps and are continuous and nondecreasing on with , and , . Given , the intermediate value theorem yields such that and , which imply and . □
Definition 3 ([
7]).
An intuitionistic fuzzy set A over a set X is the collection where and satisfy Here is the degree of membership, the degree of non-membership, and the hesitation margin. Definition 4. A topology on a set X is a collection of subsets of X containing ⌀ and X, closed under arbitrary unions and finite intersections. The pair is then a topological space.
Definition 5. Let V be an intuitionistic fuzzy 2-normed space. For , , and , define the fuzzy open ballThe collection of all sets such that for every , there exists and with forming a topology on V, denoted as . This is called the topology generated by the intuitionistic fuzzy 2-norm. Definition 6. Let X be a real vector space and a mapping. The pair is a quasi-normed space if the following holds:
- (i)
implies .
- (ii)
for all scalars .
- (iii)
for all .
Definition 7. A 2-normed space is a pair where X is a vector space with and satisfying the following.
- (i)
if x and y are linearly dependent.
- (ii)
for all .
- (iii)
for all scalars .
- (iv)
for all .
Definition 8. An intuitionistic fuzzy 2-norm on a real vector space X is a pair of functions such that for all and .
- (i)
.
- (ii)
and .
- (iii)
and .
- (iv)
.
- (v)
.
- (vi)
and .
- (vii)
and .
These preliminaries provide the basic framework needed for the development of intuitionistic fuzzy 2-normed spaces, which is explored in detail in the following section.
3. Main Results
In this section we develop the core structure of intuitionistic fuzzy 2-normed spaces and establish the basic topological tools needed for later functional analytic results. The following definitions incorporate consistent notation and slightly expanded explanations for clarity:
Definition 9. Let V be a real vector space with , and let ∗ and ∘ denote continuous t-norm and t-conorm operations. Suppose there exist two functions . The structure is called an intuitionistic fuzzy 2-normed space (IF2NS) if for all , , and all nonzero scalars :
- 1.
.
- 2.
and .
- 3.
if x and y are linearly dependent, and if x and y are linearly dependent.
- 4.
and .
- 5.
.
- 6.
.
- 7.
and .
- 8.
for fixed , the function is left continuous and is right continuous.
Definition 10. Let be an IF2NS. For , and , the open ball centered at x with radius parameter r and scale t isThe familyforms a neighborhood base at x and generates a -topology on V. For the zero vector Θ
we write Definition 11. A sequence converges to with respect to the topology if for every and each , Definition 12. A sequence is called left N-Cauchy if for every and each there exist such that for all , Definition 13. An IF2NS is left complete if every left N-Cauchy sequence converges to a point of V with respect to .
Definition 14. A subset is said to be of half second category if there exists a sequence of subsets of S such that and for some , Example 3. Let . For and defineThen for all , and if x and y are linearly dependent. With t-norm and t-conorm , the structure satisfies all conditions of Definition 9 and is an intuitionistic fuzzy 2-normed space. Theorem 1. Let be an intuitionistic fuzzy 2-normed space. For each fixed and every , the mapis upper semicontinuous on , whileis lower semicontinuous on . Proof. Fix and . We prove upper semicontinuity of at an arbitrary ; the proof for B is analogous with the roles of ∗ and ∘ reversed.
Let
. By left continuity of
at
, choose
such that
Since ∗ is continuous and has 1 as a neutral element, there exists
such that for all
,
Consider the
-neighborhood of
Note that
U contains the basic ball
and is therefore open in
. For any
, write
. With axiom (v) of Definition 9 with
,
By the choices of
s and
and the estimate on ∗,
Thus
is upper semicontinuous at
.
For
B, fix
. By right continuity of
at
, choose
such that
Since ∘ is continuous and has 0 as neutral element, there exists
such that for all
,
With the same neighborhood
U as above, for any
, axiom (vi) of Definition 9 gives
Hence
is lower semicontinuous at
. This completes the proof. □
Theorem 2. Let be an intuitionistic fuzzy 2-normed space, , and , . Then the following can be expressed:
- (i)
.
- (ii)
.
Proof. (i) Suppose
. Then there exist
and
such that
. For
we have
because for any
and any
,
and similarly
, by axiom (iv). Hence
and
.
Conversely, let
. Then there exist
and
with
. Write
. If
, then for all
,
and similarly
, so
; hence
. Therefore
and
, proving the reverse inclusion.
(ii) Let
. Then
for all
and
. As above,
so
and
. The reverse inclusion follows by scaling back by
and repeating the same argument. Hence
. □
Theorem 3. Let and be intuitionistic fuzzy 2-normed spaces. A linear mapping is continuous on V if and only if it is continuous at the origin .
Proof. (⇒) If T is continuous on V then it is continuous at by definition.
(⇐) Assume
T is continuous at
. Fix an arbitrary
and choose
,
, and
. By continuity at the origin, there exist
,
, and
such that
For
write
. Because
T is linear,
If
, then
and
Hence
This shows
T is continuous at
. Since
is arbitrary,
T is continuous on all of
V. □
Theorem 4. Let and be intuitionistic fuzzy 2-normed spaces, with V left N-complete and U Hausdorff. For a linear map , the following are equivalent:
- 1.
T is continuous on V.
- 2.
the graph is closed in the product topology .
Proof. () Assume T is continuous. Let with in . Then in ; hence in . By uniqueness of limits in the Hausdorff space U, , so , and is closed.
(
) Assume
is closed. By linearity, it suffices to show continuity at
. Let
,
, and
be fixed; we show there exist
,
, and
such that
i.e.,
Suppose, towards a contradiction, that no such
exists. Then for the chosen
, one can construct a sequence
with
in
but
for all
n. Set
. Since
, we have
and
in
. Consider the difference pairs
By the product topology,
converges to
in
for any
-cluster point
y of
(if necessary, pass to a subsequence to ensure convergence in
U, which is Hausdorff and first-countable under
due to the countable base given by rational
). Since
is closed and
for all
n, every such limit point must lie in
; hence
. Therefore any convergent subsequence of
must converge to
.
This forces
and
along every convergent subsequence, contradicting the uniform violation in (
1). Hence our assumption was false, and there exist
as required; thus
T is continuous at
, and by linearity, on all of
V. □
Theorem 5. Let be a left N-complete intuitionistic fuzzy 2-normed space and let be a Hausdorff IF2NS. Suppose is a family of linear operators such that for every , , and there exists withThen there exist , , and such that for every and every one hasEquivalently, the family is uniformly bounded on a -neighborhood of the origin. Proof. Fix
and
(these will be kept the same throughout the proof). For
define
We show the following:
Claim 1: . For a fixed
, by the pointwise boundedness hypothesis, there exists
such that for all
,
Choose
n with
. Then
. Hence
.
Claim 2: Each is -closed. Let
with
in
. Fix any
. By linearity and continuity of
T at
implied by the theorem on continuity at zero ⇔ global continuity once we know
T is continuous; however, we cannot assume that yet. Instead, we argue directly using the definitions of
and the continuity properties in
U: for each fixed
T, the maps
and
are respectively upper and lower semicontinuous compositions of
(linear) with the semicontinuous maps from the theorem on semi-continuity (applied in
U). Hence
Since
, we have
and
for all
k. Taking limits yields
and
. Because the inequalities are strict on a dense set and
U is Hausdorff, we can keep them strict by slightly reducing
if necessary; thus
. Therefore
is closed.
Since is left N-complete, it is a Baire space (the standard Baire-category argument carries over because left N-completeness yields completeness of the underlying uniform structure generated by the basic neighborhoods ). If, for contradiction, every had empty interior, then would be a countable union of nowhere-dense sets, contradicting the Baire theorem. Hence there exists N with .
Therefore, there are
and
such that the basic ball
. In particular, for all
and every
,
Renaming
by
r (or simply setting
) gives the desired uniform bound on the neighborhood
, which completes the proof. □
Remark 1. A convenient gauge associated with at fixed isThe conclusion of Theorem 5 is equivalent to the existence of , , and such that for all . Theorem 6. Let and be intuitionistic fuzzy 2-normed spaces such that V is left N-complete and U is Hausdorff, and let be linear. Then the following are equivalent:
- (i)
is continuous on V.
- (ii)
the graph is closed in .
- (iii)
whenever in , one has in (sequential continuity at the origin).
Proof. : If is continuous, then for any sequence in , we have , and hence ; by uniqueness of limits in the Hausdorff space, U, , so . Thus is closed.
: By Theorem 4, in a left N-complete domain and Hausdorff codomain, a linear operator has a closed graph if and only if it is continuous. Hence is continuous.
: If is continuous at 0, then implies by definition.
: Let
and suppose
in
. Then
, and by sequential continuity at 0,
in
. Hence
for every convergent sequence
. Since
is linear and sequentially continuous at every point, it is continuous on
V (cf. the previously proved result that for linear maps; continuity on
V is equivalent to continuity at
). □
Theorem 7. Let and be intuitionistic fuzzy 2-normed spaces with V left N-complete and U Hausdorff. Let be a bijective linear map. The following statements are equivalent:
- (i)
T is continuous.
- (ii)
is continuous.
- (iii)
the graph is closed in the product topology .
- (iv)
T is a topological isomorphism between and .
Proof. : Suppose T is continuous and bijective. Let with in and set . Since and T is continuous and injective, converges to in . Hence is continuous.
: Assume is continuous. If in , then and . Continuity of gives . By uniqueness of limits in the Hausdorff space V, , so and . Thus is closed.
: If the graph of T is closed, the closed graph theorem for IF2NS (Theorem 4) applies because V is left N-complete and U is Hausdorff. Hence T is continuous. Bijectivity of T and the argument of yield continuity of . Therefore T is a homeomorphism, i.e., a topological isomorphism.
: A topological isomorphism is a homeomorphism by definition and is particularly continuous.
These implications complete the equivalence. □
Theorem 8. Let be an intuitionistic fuzzy 2-normed space. Assume the following:
- (i)
The t-norm ∗ is continuous and Archimedean.
- (ii)
For each and every , the functions and are continuous.
- (iii)
Every basic ball is convex, balanced, and absorbing.
- (iv)
The space is and admits a countable neighborhood base at Θ.
Then is metrizable.
Proof. Fix a countable neighborhood base at the origin
with
and
,
. For each
n, set
By (iii) each
is convex, balanced, and absorbing. Define the (Minkowski) gauge of
by
Standard properties of gauges for convex, balanced, absorbing sets imply the following:
,
,
, and
for all
and
. The absorbing property uses (iii); balancedness follows from the symmetry and scaling axiom
together with the monotonic dependence on
t ensured by (ii); convexity is given.
Define a translation-invariant metric
d on
V by the usual countable family of gauges:
Each summand takes values in
, so the series converges, and
d is a metric (symmetry and triangle inequality follow from those of each
;
implies
for all
n; hence
, which by
yields
).
We show that d generates . First, if in d, then for every n, so for each fixed n and large k, we have . Hence in . Conversely, if in , then for every n eventually , i.e., ; hence each summand tends to 0, and therefore . Thus d and have the same convergent sequences; hence the same topology (first countability at from (iv) suffices to conclude the equality of the topologies).
Finally, the Archimedean property in (i) guarantees that the base can be chosen to be nested (after thinning if necessary): for any , there exists m with (repeated m times), which ensures using axiom (v) and continuity, simplifying the construction of the gauges without changing the generated topology.
Therefore is metrizable. □
Theorem 9. Let be an intuitionistic fuzzy 2-normed space. Then there exists a left N-complete IF2NS and a linear isometric embedding such that the following holds:
- 1.
is dense in .
- 2.
for all and . - 3.
extends naturally to equivalence classes of left N-Cauchy sequences in V.
Proof. Let
be the set of all left
N-Cauchy sequences
, i.e.,
for every
and
.
Define an equivalence relation ∼ on
by
for all
and
.
Let
and write
for the class of
. Define
These limits exist and are independent of representatives because of the defining relations of ∼ and the
N-Cauchy property.
Vector operations are given pointwise:
which are well defined and make
a real vector space.
The pair satisfies all intuitionistic fuzzy 2-norm axioms: symmetry, homogeneity, subadditivity, and the limiting conditions passing to the limit from A and B because these are preserved under pointwise limits.
Define
by
, with the constant sequence at
x. Linearity of
J is immediate. For all
and
,
so
J is an isometric embedding.
For density
, given
, the sequence
satisfies
as
, showing
in
.
For completeness, let
be a left
N-Cauchy sequence in
. For each
n the sequence
is
N-Cauchy in
V. Choose a diagonal sequence
. Then
is well defined in
and
showing convergence in
.
Thus is a left N-complete intuitionistic fuzzy 2-normed space, and J satisfies all required properties. □
Theorem 10. Let be a left N-complete intuitionistic fuzzy 2-normed space over such that the following holds:
- 1.
Every fuzzy bounded linear functional is continuous with respect to .
- 2.
The dual space of all continuous fuzzy linear functionals is itself an IF2NS under a dual pair .
- 3.
The canonical map , , is an isometric embedding.
Then V is reflexive in the fuzzy sense: is surjective and as intuitionistic fuzzy 2-normed spaces.
Proof. For
define the dual fuzzy 2-norms
which by assumption (ii) satisfy the axioms of an intuitionistic fuzzy 2-norm.
The canonical map
is defined by
Linearity is immediate:
Similarly,
.
Injectivity follows from the fuzzy Hahn–Banach separation: if , then for all , so .
Define on
the induced fuzzy 2-norms
Then
preserves the fuzzy 2-norm and is an isometric embedding.
To prove surjectivity, let
. By completeness of
V, the dual
is an IF2NS and the fuzzy Hahn–Banach extension theorem (cf. Saadati Park 2006) provides an
such that
Thus
.
Consequently is a bijective isometry of V onto , showing that V is reflexive as an intuitionistic fuzzy 2-normed space. □
Theorem 11. Let be a left N-complete intuitionistic fuzzy 2-normed space, and let be a Hausdorff IF2NS. Let be a family of (fuzzy) linear operators , with each being continuous.
Assume pointwise fuzzy boundedness
: for every , , and , there exists such that Then there exist , , and a fuzzy neighborhood such that for all , Proof. Fix any
and
. For
define
Step 1: is -closed. For fixed
T, the map
is upper semicontinuous, and
is lower semicontinuous on
U (Theorem on semicontinuity). Hence the sets
are closed in
U. Since
is continuous, their preimages under
T are
-closed in
V. Intersecting over
preserves closedness, so each
is closed.
Step 2: . Given
, by pointwise fuzzy boundedness there exists
such that for all
,
Choose
n with
. Then
. Hence
.
Step 3: Baire-category argument. Since is left N-complete, it is a Baire space (the completeness of the underlying uniform structure generated by the basic neighborhoods suffices). If every had an empty interior, would be meager, contradicting the Baire property. Thus there exists and a nonempty open set .
By first countability at
, we can choose
and
so that the basic ball
. Then, for all
and all
,
Renaming
by
r (or taking any
) yields the asserted uniform bounds. □
Theorem 12. Let be a real intuitionistic fuzzy 2-normed space and let be nonempty, convex, and closed. Suppose there exist , , and such thatThen there exists a nonzero continuous fuzzy linear functional with Proof. Choose
. The basic ball
is a
neighborhood of
disjoint from
C; hence
.
Let
Because
C is convex and
is convex, balanced, and absorbing (properties of IF2NS balls),
is convex and absorbing. Moreover
.
Define the Minkowski functional
The set
being convex and absorbing implies that
p is a sublinear functional (gauge) on
V.
Consider
and define
by
Clearly
is linear and satisfies
for all
.
By the fuzzy Hahn–Banach extension theorem (see Saadati Park 2006), there exists a linear functional
such that
and
f extends
.
Because
for every
(as
), we have
Finally, f is continuous. Indeed, if in , then , so by the continuity of p inherited from the balanced, absorbing neighborhood system. Since , it follows that . Thus and separates from C as required. □
Theorem 13. Let be a left N-complete intuitionistic fuzzy 2-normed space and let denote the space of all continuous fuzzy linear functionals on V. Endow with the weak∗ fuzzy topology , i.e., the coarsest topology for which every evaluation map , , is continuous for each . Then the closed fuzzy unit ballis compact in . Proof. If , there exists with . Since is continuous by definition of , the preimages of disjoint intervals about and separate and . Hence is Hausdorff.
Fix
. We show
. By the IF2NS axioms for
and the definition of
(dual fuzzy 2-norm), the condition
means that whenever
and
, one has
. Using homogeneity and subadditivity in the first argument (axioms (iii), (iv) for
), for arbitrary
x, we can scale
so that
u falls inside a basic ball
; then
Since the same scaling works uniformly over all
, it follows that there exists
with
for all
. (Equivalently, with the gauge
, the unit ball implies a uniform bound
.)
For each
, define the compact interval
. Consider the map
By definition of
,
is continuous (all coordinates are the evaluation maps
). It is also injective: if
, then
for all
x; hence
.
The product is compact by the Tychonoff theorem. It remains to show that is closed in the product topology. Let be a net in such that converges pointwise to a function . Define by . Linearity of f follows from pointwise limits of linear functionals. For continuity (i.e., ), use the fact that each is -continuous and that is equi-fuzzy-bounded as shown above; hence for every fixed basic neighborhood in V, the family is uniformly controlled on , and this control passes to the limit, giving continuity of f. Moreover, the defining inequalities of are preserved under pointwise limits because they are closed conditions with respect to the semicontinuity of composed with evaluations, so . Therefore is closed in .
Since is a continuous injection into a compact Hausdorff space with closed image, is compact. Thus is compact in . □
4. Conclusions
We introduced a unified framework of intuitionistic fuzzy 2-normed spaces (IF2NS) that simultaneously encodes membership and non-membership for pairs of vectors, thereby extending both classical 2-normed spaces and intuitionistic fuzzy normed spaces. Building from fuzzy open balls, convergence, and left N-Cauchy sequences, we developed the induced topology and showed semicontinuity of the basic maps and . The intrinsic symmetry in the two=variable setting supports the core functional analytic results: continuity of linear maps from continuity at the origin, a closed graph theorem, an open mapping theorem, and a generalized isomorphism criterion. We established a metrization theorem under natural hypotheses (continuous Archimedean t-norm, continuity in t, convex balanced absorbing balls, and a countable base), a completion theorem via classes of left N-Cauchy sequences, and a uniform boundedness principle by a Baire-category argument adapted to IF2NS. On the dual side, we proved Hahn–Banach type separation and an Alaoglu type compactness result for the fuzzy weak∗ topology and derived a fuzzy reflexivity statement under appropriate dual-space assumptions. Illustrative examples included both the minimum/maximum pair and nontrivial choices such as the product t-norm with probabilistic sum t-conorm, clarifying how modeling choices affect topology and convergence.
This work highlights three contributions: a coherent two-variable intuitionistic fuzzy structure for uncertainty in pairwise geometry; systematic extensions of classical linear topological theorems to this setting; and explicit conditions ensuring metrizability, completeness, and compactness phenomena. Limitations include reliance on left N-completeness, Hausdorff codomains, and continuity/Archimedean assumptions on the t-operations; relaxing these may require alternative techniques or weaker conclusions. Future directions include operator theory on IF2NS (spectral properties, closed range and Fredholm alternatives), stability and approximation results, links with hesitant and type-2 fuzzy models, probabilistic/triangular norms beyond the Archimedean case, and applications to multi-criteria decision making and networked data where pairwise relations under uncertainty are fundamental.