R E S E A R C H
Open Access
Generalized lacunary
m
-statistically
convergent sequences of fuzzy numbers
using a modulus function
Parmeshwary Dayal Srivastava
*and Sushomita Mohanta
*Correspondence: [email protected] Department of Mathematics, Indian Institute of Technology, Kharagpur, 721302, India
Abstract
In this paper, we introduce the space of lacunary strongly
m
(p)-summable sequences
of fuzzy numbers and discuss relations between
m-statistically convergent
sequences and lacunary
m-statistically convergent sequences of fuzzy numbers. We
also study inclusion relations using different arbitrary lacunary sequences.
MSC: 40A05; 40C05; 46A45
Keywords: fuzzy number; modulus function; lacunary
m-statistical convergence;
lacunary refinement
1 Introduction
The concepts of fuzzy sets and fuzzy set operations were first introduced by Zadeh [], and subsequently several authors have discussed various aspects of the theory and appli-cations of fuzzy sets such as topological spaces, similarity relations and fuzzy orderings, fuzzy mathematical programmingetc.Later on, various types of sequence spaces of fuzzy numbers have been constructed by several authors such as Matloka [], Nanda [], Nu-ray and Savaş [], Mursaleen and Basarır [], Malkowskyet al.[], Tripathy and Chandra [], Tripathy and Borgogain [] and so on. Later on, the fuzzy sequence space got mo-mentum after the introduction of new convergence methods and theories in the process as well as the requirement. Some of them are statistical convergence, lacunary statistical convergenceetc.
Nuray and Savaş [] introduced the idea of statistical convergence of fuzzy numbers and Nuray [] introduced the related concept of convergence with the help of a lacunary sequence. Using their ideas, many authors such as Kwon and Shim [], Bilgin [], Altin
et al.[], Esi [], Tripathy and Baruah [, ], Tripathy and Dutta [, ] and others constructed different types of sequence spaces.
2 Definitions and preliminaries
Definition . A fuzzy numberXis a mappingX:R→[, ] associating each real num-bertwith its grade of membershipX(t).
Definition . If there existst∈Rsuch thatX(t) = , then the fuzzy numberXis called normal.
Definition . A fuzzy numberXis said to be convex ifX(t)≥X(s)∧X(r) =min{X(s),
X(r)}, wheres<t<r.
Definition . A fuzzy numberXis said to be upper semi-continuous if for eachε> ,
X–([,a+ε)) for alla∈[, ] is open in the usual topology ofR.
L(R) denotes the set of all upper semi-continuous, normal, convex fuzzy numbers such that [X]α={t∈R:X(t) > }is compact, where{t∈R:X(t) > }denotes the closure of the
set{t∈R:X(t) > }in the usual topology ofR.
Definition . The setL(R) forms a linear space under addition and scalar multiplication in terms ofα-level sets as defined below:
[X+Y]α= [X]α+ [Y]α and [λX]α=λ[X]α for each ≤α≤,
whereXαis given as
Xα=
t:X(t)≥α ifα∈(, ],
t:X(t) > ifα= .
For eachα∈[, ], the setXαis a closed, bounded and nonempty interval ofR.
LetDdenote the set of all closed and bounded intervalsA= [a,a] on the real lineR. ForA,B∈D, (D,d) is a complete metric space where the metricdis defined as
d(A,B) =max|a–b|,|a–b|
for anyA= [a,a] andB= [b,b].
It is easy to verify thatd:L(R)×L(R)→R, defined by
d(X,Y) = sup
≤α≤
dXα,Yα,
is a metric onL(R).
Definition . LetX= (Xk) be a sequence of fuzzy numbers. Then the sequenceX= (Xk)
is said to bem-convergent to the fuzzy numberX, denoted aslimk→∞mXk=X, if for
everyε> , there exists a positive integerksuch thatd(mXk,X) <εfor allk>k.
Definition . The sequenceX= ((Xk)∞k=) of fuzzy numbers is said to bem-statistically convergent to the fuzzy numberξif for everyε> ,
lim
n→∞
nk≤n:d
mXk,ξ
≥ε= .
In this case, we writeXk→ξ(SF(m)) andSF(m) denotes the set of allm-statistically
convergent sequences of fuzzy numbers.
By a lacunary sequence we mean an increasing sequence of integersθ = (kr) such that
Definition . Letθ be a lacunary sequence. A lacunary refinement ofθ= (kr) is a
lacu-nary sequenceθ= (kr) satisfying{kr} ⊆ {kr}.
Definition . The sequenceX= (Xk) of fuzzy numbers is said to be lacunary m
-statistically convergent to the fuzzy numberξif for everyε> ,
lim
r→∞
hr
k∈Ir:d
mXk,ξ
≥ε= .
In this case, we write Xk →ξ(SFθ(m)), andSFθ(m) denotes the set of all lacunary
m-statistically convergent sequences of fuzzy numbers.
Definition . A metricdonL(R) is said to be translation invariant ifd(X+Z,Y+Z) =
d(X,Y) for allX,Y,Z∈L(R).
Lemma .(Mursaleen and Basarır []) If d is a translation invariant metric on L(R),
then
(i) d(X+Y, )≤d(X, ) +d(Y, ), (ii) d(λX, )≤ |λ|d(X, ),|λ|> .
Lemma .(Maddox []) Let ak,bkfor all k be sequences of complex numbers,and let
(pk)be a bounded sequence of positive real numbers,then
|ak+bk|pk≤C
|ak|pk+|bk|pk
and
|λ|pk≤max,|λ|H,
where C=max(, H–),H=supp
kandλis any complex number.
Lemma .(Maddox []) Let ak≥,bk≥for all k be sequences of complex numbers
and≤pk≤suppk<∞,then
k
|ak+bk|pk
M
≤
k
|ak|pk
M +
k
|bk|pk
M ,
where M=max(,H),H=suppk.
3 Main results
Now, we introduce the spaceNθF(m(p),f) as follows:
NθF
m(p),f=
X= (Xk) :Xk∈L(R) such that lim r→∞
hrk∈I
r
fdmXk,ξ
pk =
,
whereθ = (kr) is a lacunary sequence,f is any modulus function andp= (pk) is any
Now we define a lacunary stronglym
p-summable sequence of fuzzy numbers as follows.
The sequenceX= (Xk) is said to be lacunary stronglym(p)-summable to the fuzzy
num-berξ∈L(R) if for everyε> ,
lim
r→∞
hrk∈I
r
fdmXk,ξ
pk = .
In this case, we writeXk→ξ(NθF(m(p),f)). Thus the classNθF(m(p),f) denotes the set of all lacunary stronglym
(p)-summable sequences of fuzzy numbers.
For suitable choices ofm,f andpk, some of the known sequence spaces, which are
ob-tained from the spaceNF
θ(m(p),f), are as follows.
(i) Letf(x) =x,m= andpk≡pfor allk∈N, the sequence spaceNθF(m(p),f)
represents the spaceNθstudied by Kwon and Shim [].
(ii) Letf(x) =x,m= andpk≡for allk∈N, the sequence spaceNθF(m(p),f)denotes
the spaceNθ()investigated by Bilgin []. (iii) Letf(x) =x, the sequence spaceNF
θ(m(p),f)denotes the spaceNθ(mp)studied by
Altinet al.[].
(iv) Letf(x) =xandpk≡for allk∈N, the sequence spaceNθF(m(p),f)reduces to the
spaceNθ(m,F)investigated by Esi [].
Thus, the study of the sequence space NθF(m(p),f)gives a unified approach to many of the
earlier known spaces.
Theorem . Let(pk)be a bounded sequence of positive real numbers. Then the class
NθF(m(p),f)is a linear space overR.
Proof Using Lemma ., Lemma ., the subadditivity property of a modulus functionf
and the resultf(λx)≤( + [|λ|])f(x), it is easy to show thatNF
θ(m(p),f) is a linear space over
the real fieldR.
Theorem . Let(pk)be a bounded sequence of positive real numbers such thatinfpk> .
Then the sequence space NF
θ(m(p),f)is a complete metric space with respect to the metric
h(X,Y) =
m
i=
fd(Xi,Yi)
+sup
r
hrk∈I
r
fdmXk,mYk
pk
M ,
where M=max{,suppk}.
Proof It is easy to verify thathgives a metric onNF
θ(m(p),f). To show completeness, let us assume that (Xu) is a Cauchy sequence inNF
θ(m(p),f), whereXu= (Xku)∞k=∈NθF(m(p),f) for eachu∈N. So, for givenε> , there existsu∈Nsuch that
gXu,Xv<ε for allu,v≥u
,
i.e.,
m
i=
fdXiu,Xiv+sup
r
hrk∈I
r
fdmXuk,mXkvpk
M
This means that
m
i=
fdXiu,Xiv<ε for allu,v≥u (.)
as well as
hrk∈I
r
fdmXuk,mXkvpk
<ε for allu,v≥uand for allr. (.)
Sincef is a modulus function, so equation (.) givesd(Xui,Xiv) <εfor allu,v≥u, for someεsuch thatε>ε> and for eachi= , , . . . ,m,i.e.,
Xiuis a Cauchy sequence inL(R) for eachi= , , . . . ,m. (.)
Similarly, asf is a modulus function, so by choosing suitableε> , equation (.) gives
d(mXu
k,mXkv) <εfor allu,v≥uand for eachk,i.e.,
mXkuis a Cauchy sequence inL(R) for eachk∈N. (.)
Using equation (.) and equation (.), it can be easily shown that (Xku) is a Cauchy sequence inL(R). ButL(R) is complete, so the sequence (Xku) converges to X= (Xk) in
L(R) asu→ ∞.
Keepingufixed and lettingv→ ∞in equation (.) and equation (.), we get
m
i=
fdXiu,Xi
<ε for allu≥u
and
hrk∈I
r
fdmXuk,mXk
pk
<ε for allu≥uand for allr, (.)
i.e.,
gXu,X<ε for allu≥u.
Next we show that the limit pointX∈NF
θ(m(p),f), for which the proof is as follows. SinceXu= (Xku)∈NθF(m(p),f) foru∈N, so for eachu, there existLu∈L(R) andru∈N
such that
hrk∈I
r
fdmXuk,Lupk
<ε for allr≥ru. (.)
Similarly, for eachv, there existLv∈L(R) andr
v∈Nsuch that
hrk∈I
r
fdmXvk,Lvpk
Now letu,v≥uandr=max(ru,rv). Then from equation (.), equation (.), equation
(.) and using Lemma ., we have
hrk∈I
r
fdLu,Lvpk ≤
C hrk∈I
r
fdLu,mXu k
pk
+C hr k∈I
r
fdmXku,mXkvpk
+C hr
k∈Ir
fdmXkv,Lvpk
< Cε for allu,v≥uand for allr≥r. (.)
Now using the fact that the modulus function is monotone and for a suitable choice of ε> , we get
dLu,Lv<ε for allu,v≥u,
i.e., (Lu) is a Cauchy sequence inL(R). SinceL(R) is complete, so there existsξ ∈L(R)
such thatLu→ξasu→ ∞. Keepingufixed and lettingv→ ∞in equation (.), we get
hr k∈Ir
fdLu,ξpk
< Cε foru≥uand forr≥r. (.)
Hence, from equation (.), equation (.) and equation (.), we have
hrk∈I
r
fdmXk,ξ
pk≤
C hr k∈I
r
fdmXk,mXku
pk
+C hrk∈I
r
fdmXu
k ,L upk
+C hrk∈I
r
fdLu,ξpk
< Cε+ Cε≡ε for allr≥r,
which implies h r
k∈Ir(f(d(
mX
k,ξ)))pk → asr→ ∞,i.e.,X= (Xk)∈NθF(m(p),f) and hence the sequence spaceNF
θ(m(p),f) is a complete metric space.
Theorem . Letθ = (kr)be a lacunary sequence and X = (Xk)be a sequence of fuzzy
numbers.Then:
(i) Xk→ξ(NθF(m(p),f))impliesXk→ξ(SFθ(m)).
(ii) Iff is a bounded modulus function andXk→ξ(SFθ(m)),thenXk→ξ(NθF(m(p),f)).
Proof Easy, so omitted.
Theorem . Letθ= (kr)be a lacunary sequence,and let X= (Xk)be a sequence of fuzzy
numbers.Then:
(i) WF(m,f)⊆NF
θ(m,f)if and only iflim infrqr> .
where
WFm,f=
(Xk) :
n
n
k=
fdmXk,ξ
→as n→ ∞
and
NθF
m,f=
(Xk) :
hrk∈I
r
fdmXk,ξ
→as r→ ∞
.
Proof (i) Assume thatlim infrqr> . Then there existsδ> such thatqr≥ +δfor
suffi-ciently larger.
LetXk→ξ(WF(m,f)). Then
n
n
k=
fdmXk,ξ
→ asn→ ∞.
Consider
hr k∈Ir
fdmXk,ξ
=
hr kr
k=
fdmXk,ξ
–
hr kr–
k=
fdmXk,ξ
≥ kr
hr
kr kr
k=
fdmXk,ξ
–kr–
hr
kr–
kr–
k=
fdmXk,ξ
.
Sincehr=kr–kr–, we have
kr
hr
= kr
kr–kr– = qr
qr–
= +
qr– ≤
+ δ=
δ+ δ
and
kr–
hr
= kr–
kr–kr–
=
qr–
≤
δ.
SinceX∈WF(m,f). So both the terms k r
kr
k=f(d(mXk,ξ)) andkr–
kr–
k=f(d(mXk,
ξ)) converge to asr→ ∞and hencehrkr∈Irf(d(mXk,ξ)) converges to asr→ ∞,
i.e.,X∈NθF(m,f) and henceWF(m,f)⊆NθF(m,f).
Conversely, letXk→ξ(WF(m,f)) implyXk→ξ(NθF(m,f)) butlim infrqr= .
Sinceθis a lacunary sequence, we can select a subsequence (kr(j)) ofθsatisfying
kr(j)
kr(j)– < +
j and
kr(j)–
kr(j–)
>j, wherer(j)≥r(j– ) + .
Define
mXk=
Now we prove that the sequenceXfor whichmX
k, which is defined as above, is strongly
m-summable but not lacunary stronglym-summable. Since
hr(j)k∈I r(j)
fdmXk,
=f() forr=r(j)
and
hrk∈I
r
fdmXk,
= forr=r(j),
which impliesXk(NθF(m,f)), but ifnis sufficiently large integer andjis the unique
integer withkr(j)–<n≤kr(j+)–, then, sincen→ ∞impliesj→ ∞, we have
n
n
k=
fdmXk,
≤ kr(j)
kr(j)– ≤
kr(j)–+hr(j)
kr(j)– ≤
j → asn→ ∞,
i.e.,Xk→(WF(m,f)). This shows thatWF(m,f) /∈NθF(m,f), which leads to a
con-tradiction. Therefore it proves thatlim infqr> .
(ii) (Sufficiency) Supposelim suprqr<∞. Then there exists a constantA> such that
qr<Afor allr∈N. LetXk→ξ(NθF(m,f)). Solimr→∞hr
k∈Irf(d(
mX
k,ξ)) = .
Letε> . Then we can findR> andK> such that
sup
r≥R
hr r∈I
r
fdmXk,ξ
<ε
and
hr i∈I
j
fdmXk,ξ
<K for allj= , , . . . .
Then ifnis any integer withkr–<n≤kr, wherer>R, then we can write
n
n
k=
fdmXk,ξ
≤
kr–
kr
k=
fdmXk,ξ
=
kr– I
fdmXk,ξ
+
I
fdmXk,ξ
+· · ·
+
Ir
fdmXk,ξ
, whereIr= (kr–,kr]
= k
kr–
h I
fdmXk,ξ
+k–k
kr–
h I
fdmXk,ξ
+· · ·
+kR–kR–
kr–
hR I
R
fdmXk,ξ
+kr–kr–
kr–
hr I
r
fdmXk,ξ
≤ kr
kr–
sup
≤i≤R
hi i
fdmXk,ξ
+kr–kR
kr–
sup
i≥R
hi i
fdmXk,ξ
<K kr kr–
+ε
qr–
kR
kr–
<K kr kr–
+εqr<K
kr
kr– +Aε,
which implies nnk=f(d(mXk,ξ))→ asn→ ∞and it follows thatXk→ξ(WF(m,
f)).
(Necessity) Suppose that Xk → ξ(WθF(m,f)) implies Xk → ξ(NF(m,f)) but
lim suprqr=∞.
Sinceθis any lacunary sequence, we can select a subsequence (kr(j)) ofθsatisfyingqr(j)>j and define a bounded difference sequenceX= (Xk) by
mXk=
ifkr(j)–<k≤kr(j)–for somej= , , . . . ,
otherwise.
Letε> be given. Then we have ifr=r(j), then
hr(j) I r(j)
fdmXk,
=kr(j)––kr(j)–
kr(j)–kr(j)–
f() = kr(j)–
kr(j)–kr(j)–
f() < f()
j– ,
and ifr=r(j), then
hr(j) I r(j)
fdmXk,
= ,
which implies thatXk→(NθF(m,f)).
For the above sequence and fork= , , . . . ,kr(j),
kr(j)
kr(j)
k=
fdmXk,
≥
kr(j)
(kr(j)– kr(j)–)f() =
–
qr(j)
f() >
–
j
f(),
and fork= , , . . . , kr(j)–,
kr(j)–
kr(j)–
k=
fdmXk,
≥ kr(j)– kr(j)–
f() =f() .
It proves thatX= (Xk) /∈(WF(m,f)) and hence the result follows immediately.
Theorem . Letθ = (kr)be a lacunary sequence and X = (Xk)be a sequence of fuzzy
(i) SF
θ(m)⊆SF(m)if and only iflim suprqr<∞.
(ii) SF(m)⊆SθF(m)if and only iflim infrqr> .
Proof The proof can be established following the technique used in Theorem ..
Theorem . Ifθ= (kr)is a lacunary refinement ofθ = (kr)and Xk→ξ(SFθ(m)),then Xk→ξ(SFθ(m)).
Theorem . Letβ= (li)be a lacunary refinement of the lacunary sequenceθ= (ki).Let
Ii= (ki–,ki]and Ji= (li–,li],i= , , , . . . ,be the corresponding intervals ofθandβ,
respec-tively,and hi=ki–ki–and gi=li–li–,respectively.If there existsδ> such that
gj
hi≥
δ for every Jj⊆Ii,
then Xk→ξ(SθF(m))implies Xk→ξ(SFβ(m)).
Proof Letε> be given,Xk→ξ(SFθ(m)) and for everyJj, we can findIisuch thatJj⊆Ii,
then we have
gj
k∈Jj:d
mXk,ξ
≥ε= hi
gj
hi
k∈Jj:d
mXk,ξ
≥ε
≤hi
gj
hi
k∈Ii:d
mXk,ξ
≥ε (asJj⊆Ii)
≤
δ
hi
k∈Ii:d
mXk,ξ
≥ε,
which implies thatXk→ξ(SFβ(m)).
Theorem . Letβ= (li)andθ= (ki)be two lacunary sequences.Let Ii= (ki–,ki]and Ji=
(li–,li],i= , , , . . . ,be the corresponding intervals ofθandβ,respectively,and Iij=Ii∩Jj,
i,j= , , , . . . ,and hi=ki–ki–and gi=li–li–.If there existsδ> such that
|Iij|
hi ≥
δ for every i,j= , , , . . .provided Ii,j=∅,
then Xk→ξ(SθF(m))implies Xk→ξ(SFβ(m)).
Proof Letα=β∪θ. Thenαis a lacunary refinement of both the lacunary sequencesβ andθ. The interval sequence ofαis{Iij=Ij∩Jj:Iij=φ}.
Letε> be given,Xk→ξ(SθF(m)), and for everyIi,j, we can findIisuch thatIij⊆Iiand Iij=∅. Then we have
|Iij|
k∈Iij:d
mXk,ξ
≥ε= hi
|Iij|
hi
k∈Iij:d
mXk,ξ
≥ε
≤ hi
|Iij|
hi
k∈Ii:d
mXk,ξ
≥ε (asIij⊆Ii)
≤
δ
hi
k∈Ii:d
mXk,ξ
≥ε,
Sinceαis a lacunary refinement ofβ, so by Theorem . it follows thatXk→ξ(SαF(m))
impliesXk→ξ(SFβ(m)) and hence the result follows.
Theorem . Letβ = (li)andθ = (ki)be two lacunary sequences. Let Ii= (ki–,ki],Ji=
(li–,li],i= , , , . . . ,and Iij=Ii∩Jj,i,j= , , , . . . .If there existsδ> such that
|Iij|
(hi+gj)≥
δ for every i,j= , , , . . . provided Ii,j=∅,
then Xk→ξ(SθF(m))if and only if Xk→ξ(SFβ(m)).
Definition . Let β = (li) and θ = (kr) be two lacunary sequences. Let Ji= (li–,li],
Ii= (ki–,ki],i= , , . . . . There exist a sequenceXand a fuzzy numberLsuch thatXk→
ξ(SF
β(m)) andXkξ(SFθ(m)) if and only if there exist (sr), (tr)⊆Nandδ> which
sat-isfy the following conditions:
(i) Jsr∩Itr=φ;
(ii) limr→∞|Jsr|
|Itr|=∞;
(iii) |Jsr∩Itr|
|Itr| ≥δ,r= , , . . ..
Proof Let there exist a sequenceX= (Xk) and a fuzzy numberξsuch thatXk→ξ(SβF(m))
andXkξ(SFθ(m)). Then we can find a subsequence (tr)⊆N,ε> andδ> such that
|Itr|
k∈Itr:d
mXk,ξ
≥ε≥δ, r= , , . . . .
For eachtr, there exist a positive integersrand a whole numberursuch that
Jsr+j∩Itr=φ for everyj= , , , . . . ,r= , , . . . .
Then we can write
δ≤
|Itr|
k∈Itr:d
mXk,ξ
≥ε
=
|Itr|
k∈ n
j=
Jsr+j
∩Itr:d
mXk,ξ
≥ε
=
|Itr|
ur
j=
k∈Jsr+j∩Itr:d
mXk,ξ
≥ε
⇒ δ≤
|Itr|
j=,ur
k∈Jsr+j∩Itr :d
mXk,ξ
≥ε
+
|Itr|
<j<ur
k∈Jsr+j∩Itr :d
mXk,ξ
≥ε
=
|Itr|
j=,ur
k∈Jsr+j∩Itr :dmXk,ξ
≥ε
+
|Itr|
<j<ur
k∈Jsr+j:d
mXk,ξ
=
|Itr|
j=,ur
k∈Jsr+j∩Itr :d
mXk,ξ
≥ε
+ <j<ur
|J
sr+j|
|Itr|
|Jsr+j|
k∈Jsr+j:d
mXk,ξ
≥ε. (.)
SinceXk→ξ(SβF(m)), so for sufficiently largesr+j, we have
|Jsr+j|
k∈Jsr+j:d
mXk,ξ
≥ε<δ
. (.)
It can be seen that<j<ur(|J|srI+j|
tr|)≤. Hence, by using equation (.) in equation (.), we get
δ≤
|Itr|
k∈Itr:d
mXk,ξ
≥ε
≤
|Itr|
j=,ur
k∈Jsr+j∩Itr:d
mXk,ξ
≥ε+δ .
This implies that (|I tr|)
j=,ur|{k∈Jsr+j∩Itr:d(mXk,ξ)≥ε}| ≥δ, which implies that at
least one of the following two inequalities holds:
|Itr|
k∈Jsr∩Itr:d
mXk,ξ
≥ε≥ δ
(.)
or
|Itr|
k∈Jsr+ur∩Itr:d
mXk,ξ
≥ε≥ δ
. (.)
Suppose that equation (.) holds. Since|{k∈Jsr∩Itr:d(mXk,ξ)≥ε}| ≤ |Jsr∩Itr|, so using equation (.), we conclude that δ≤|Jsr∩Itr|
|Itr| , which proves (iii).
For suchsr,trchosen in the proof of (iii), from equation (.), we have
δ ≤
|Itr|
k∈Jsr∩Itr:d
mXk,ξ
≥ε
≤ |J
sr|
|Itr|
|Jsr|
k∈Jsr∩Itr:d
mXk,ξ
≥ε. (.)
Since (
|Jsr|)|{k∈Jsr ∩Itr :d(
mX
k,ξ)≥ε}| → asr→ ∞, from equation (.) we have
|Jsr|
|Itr|→ ∞asr→ ∞, which implies that condition (ii) is satisfied.
Conversely, let for the two lacunary sequencesβ= (li) andθ= (ki) there exist sequences
(sr), (tr)⊆Nandδ> which satisfy the above three conditions. Define
mXk=
ifk∈Jsr∩Itr, otherwise.
Then, for any <ε< , ifj=srfor anyr= , , , . . . ,|Jr||{k∈Jr:d(mXk, )≥ε}|= and
ifj=sr for somer, J
sr|{k∈Jsr :d(
mX
k, )≥ε}|=|Jsr|J∩Itr|
sr| ≤
|Itr|
But (|I
tr|)|{k∈Itr :d(
mX
k, )≥ε}|= |Jsr|I∩Itr|
tr| ≥δforr= , , . . . , which impliesXk
(SFθ(m)).
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
PDS in this paper introduced the space of lacunary strongly(mp)-summable sequences of fuzzy numbers by using a modulus function, defined a suitable metric for the completeness property and gave the idea to introduce the relation between two arbitrary lacunary sequences. SM proved the relation between the spaces of lacunary strongly
m-summable sequences using a modulus function andm-summable sequences using a modulus function of fuzzy numbers and does some inclusion relations between any two arbitrary lacunary sequences. All authors read and approved the final manuscript.
Received: 12 May 2013 Accepted: 16 October 2013 Published:25 Nov 2013
References
1. Zadeh, LA: Fuzzy sets. Inf. Control8, 338-353 (1965)
2. Matloka, M: Sequences of fuzzy numbers. BUSEFAL28, 28-37 (1986) 3. Nanda, S: On sequences of fuzzy numbers. Fuzzy Sets Syst.33, 123-126 (1989)
4. Nuray, F, Sava¸s, E: Statistical convergence of fuzzy numbers. Math. Slovaca45(3), 269-273 (1995)
5. Mursaleen, M, Basarır, M: On some new sequence spaces of fuzzy numbers. Indian J. Pure Appl. Math.34(9), 1351-1357 (2003)
6. Malkowsky, E, Mursaleen, M, Suantai, S: The dual spaces of sets of difference sequences of ordermand matrix transformations. Acta Math. Sin. Engl. Ser.23(3), 521-532 (2007)
7. Tripathy, BC, Chandra, P: On some generalized difference paranormed sequence spaces associated with multiplier sequences defined by modulus function. Anal. Theory Appl.27(1), 21-27 (2011)
8. Tripathy, BC, Borgogain, S: Some classes of difference sequence spaces of fuzzy real numbers defined by Orlicz function. Adv. Fuzzy Syst.2011, Article ID 216414 (2011)
9. Nuray, F: Lacunary statistical convergence of sequences of fuzzy numbers. Fuzzy Sets Syst.99, 353-355 (1998) 10. Kwon, JS, Shim, HT: On lacunary statistical andp-Cesaro summability of fuzzy numbers. J. Fuzzy Math.9(3), 603-610
(2001)
11. Bilgin, T: Lacunary strongly-convergent sequences of fuzzy numbers. Inf. Sci.160, 201-206 (2004)
12. Altin, R, Et, M, Çolak, R: Lacunary statistical and lacunary strongly convergence of generalized difference sequences of fuzzy numbers. Comput. Math. Appl.52, 1011-1020 (2006)
13. Esi, A: Generalized lacunary stronglym-convergent sequences of fuzzy numbers. Iran. J. Sci. Technol., Trans. A, Sci. 32(A4), 243-248 (2008)
14. Tripathy, BC, Baruah, A: Lacunary statistically convergent and lacunary strongly convergent generalized difference sequences of fuzzy real numbers. Kyungpook Math. J.50(4), 565-574 (2010)
15. Tripathy, BC, Baruah, A, Et, M, Gungor, M: On almost statistical convergence of new type of generalized difference sequence of fuzzy numbers. Iran. J. Sci. Technol., Trans. A, Sci.36(2), 147-155 (2012)
16. Tripathy, BC, Dutta, H: On some lacunary difference sequence spaces defined by a sequence of Orlicz functions and q-lacunaryn
m-statistical convergence. An. Univ. “Ovidius” Constan¸ta, Ser. Mat.20(1), 417-430 (2012) 17. Tripathy, BC, Dutta, AJ: Lacunary bounded variation sequence of fuzzy real numbers. J. Intell. Fuzzy Syst.24(1),
185-189 (2013)
18. Maddox, IJ: Elements of Functional Analysis. Cambridge University Press, Cambridge (1970)
10.1186/1029-242X-2013-559
Cite this article as:Srivastava and Mohanta:Generalized lacunarym-statistically convergent sequences of fuzzy