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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.

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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={tR:X(t) > }is compact, where{tR: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≤,

whereis given as

=

t:X(t)≥α ifα∈(, ],

t:X(t) >  ifα= .

For eachα∈[, ], the setis a closed, bounded and nonempty interval ofR.

LetDdenote the set of all closed and bounded intervalsA= [a,a] on the real lineR. ForA,BD, (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,,

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 integerksuch 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→∞

nkn:d

mXk,ξ

ε= .

In this case, we writeXkξ(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

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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

kIr:d

mXk,ξ

ε= .

In this case, we write Xkξ(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,ZL(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|pkC

|ak|pk+|bk|pk

and

|λ|pkmax,|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) :XkL(R) such that lim r→∞

hrkI

r

fdmXk,ξ

pk = 

,

whereθ = (kr) is a lacunary sequence,f is any modulus function andp= (pk) is any

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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-berξL(R) if for everyε> ,

lim

r→∞

hrkI

r

fdmXk,ξ

pk = .

In this case, we writeXkξ(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= andpkpfor allk∈N, the sequence spaceNθF(m(p),f)

represents the spacestudied by Kwon and Shim [].

(ii) Letf(x) =x,m= andpk≡for allk∈N, the sequence spaceNθF(m(p),f)denotes

the space()investigated by Bilgin []. (iii) Letf(x) =x, the sequence spaceNF

θ(m(p),f)denotes the space(mp)studied by

Altinet al.[].

(iv) Letf(x) =xandpk≡for allk∈N, the sequence spaceNθF(m(p),f)reduces to the

space(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

hrkI

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,vu

,

i.e.,

m

i=

fdXiu,Xiv+sup

r

hrkI

r

fdmXuk,mXkvpk

M

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This means that

m

i=

fdXiu,Xiv<ε for allu,vu (.)

as well as

hrkI

r

fdmXuk,mXkvpk

<ε for allu,vuand for allr. (.)

Sincef is a modulus function, so equation (.) givesd(Xui,Xiv) <εfor allu,vu, for someεsuch 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) <εfor allu,vuand 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 alluu

and

hrkI

r

fdmXuk,mXk

pk

<ε for alluuand for allr, (.)

i.e.,

gXu,X<ε for alluu.

Next we show that the limit pointXNF

θ(m(p),f), for which the proof is as follows. SinceXu= (Xku)∈NθF(m(p),f) foru∈N, so for eachu, there existLuL(R) andru∈N

such that

hrkI

r

fdmXuk,Lupk

<ε for allrru. (.)

Similarly, for eachv, there existLvL(R) andr

v∈Nsuch that

hrkI

r

fdmXvk,Lvpk

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Now letu,vuandr=max(ru,rv). Then from equation (.), equation (.), equation

(.) and using Lemma ., we have

hrkI

r

fdLu,Lvpk

ChrkI

r

fdLu,mXu k

pk

+Chr kI

r

fdmXku,mXkvpk

+Chr

kIr

fdmXkv,Lvpk

<  for allu,vuand for allrr. (.)

Now using the fact that the modulus function is monotone and for a suitable choice of ε> , we get

dLu,Lv<ε for allu,vu,

i.e., (Lu) is a Cauchy sequence inL(R). SinceL(R) is complete, so there existsξ L(R)

such thatLuξasu→ ∞. Keepingufixed and lettingv→ ∞in equation (.), we get

hr kIr

fdLu,ξpk

<  foruuand forrr. (.)

Hence, from equation (.), equation (.) and equation (.), we have

hrkI

r

fdmXk,ξ

pk

Chr kI

r

fdmXk,mXku

pk

+ChrkI

r

fdmXu

k ,L upk

+ChrkI

r

fdLu,ξpk

< + Cεε for allrr,

which implies hr

kIr(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) Xkξ(NθF(m(p),f))impliesXkξ(SFθ(m)).

(ii) Iff is a bounded modulus function andXkξ(SFθ(m)),thenXkξ(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> .

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where

WFm,f=

(Xk) :

n

n

k=

fdmXk,ξ

→as n→ ∞

and

NθF

m,f=

(Xk) :

hrkI

r

fdmXk,ξ

→as r→ ∞

.

Proof (i) Assume thatlim infrqr> . Then there existsδ>  such thatqr≥ +δfor

suffi-ciently larger.

LetXkξ(WF(m,f)). Then

n

n

k=

fdmXk,ξ

→ asn→ ∞.

Consider

hr kIr

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=krkr–, we have

kr

hr

= kr

krkr– = qr

qr– 

=  + 

qr– ≤

 + δ=

δ+  δ

and

kr–

hr

= kr–

krkr–

= 

qr– 

≤

δ.

SinceXWF(m,f). So both the terms kr

kr

k=f(d(mXk,ξ)) andkr–

kr–

k=f(d(mXk,

ξ)) converge to  asr→ ∞and hencehrkrIrf(d(mXk,ξ)) converges to  asr→ ∞,

i.e.,XNθF(m,f) and henceWF(m,f)⊆NθF(m,f).

Conversely, letXkξ(WF(m,f)) implyXkξ(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=

(8)

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)kI r(j)

fdmXk, 

=f() forr=r(j)

and

hrkI

r

fdmXk, 

=  forr=r(j),

which impliesXk(NθF(m,f)), but ifnis sufficiently large integer andjis the unique

integer withkr(j)–<nkr(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. LetXkξ(NθF(m,f)). Solimr→∞hr

kIrf(d(

mX

k,ξ)) = .

Letε> . Then we can findR>  andK>  such that

sup

rR

hr rI

r

fdmXk,ξ

<ε

and

hr iI

j

fdmXk,ξ

<K for allj= , , . . . .

Then ifnis any integer withkr–<nkr, 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– 

hI

fdmXk,ξ

+k–k

kr– 

hI

fdmXk,ξ

+· · ·

+kRkR–

kr– 

hR I

R

fdmXk,ξ

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+krkr–

kr– 

hr I

r

fdmXk,ξ

kr

kr–

sup

≤iR

hi i

fdmXk,ξ

+krkR

kr–

sup

iR

hi i

fdmXk,ξ

<K kr kr–

+ε

qr

kR

kr–

<K kr kr–

+εqr<K

kr

kr– +,

which implies nnk=f(d(mXk,ξ))→ asn→ ∞and it follows thatXkξ(WF(m,

f)).

(Necessity) Suppose that Xkξ(WθF(m,f)) implies Xkξ(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

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(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 Xkξ(SFθ(m)),then Xkξ(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=kiki–and gi=lili–,respectively.If there existsδ> such that

gj

hi

δ for every JjIi,

then Xkξ(SθF(m))implies Xkξ(SFβ(m)).

Proof Letε>  be given,Xkξ(SFθ(m)) and for everyJj, we can findIisuch thatJjIi,

then we have

gj

kJj:d

mXk,ξ

ε= hi

gj

hi

kJj:d

mXk,ξ

ε

hi

gj

hi

kIi:d

mXk,ξ

ε (asJjIi)

≤ 

δ

hi

kIi:d

mXk,ξ

ε,

which implies thatXkξ(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=IiJj,

i,j= , , , . . . ,and hi=kiki–and gi=lili–.If there existsδ> such that

|Iij|

hi

δ for every i,j= , , , . . .provided Ii,j=∅,

then Xkξ(SθF(m))implies Xkξ(SFβ(m)).

Proof Letα=βθ. Thenαis a lacunary refinement of both the lacunary sequencesβ andθ. The interval sequence ofαis{Iij=IjJj:Iij=φ}.

Letε>  be given,Xkξ(SθF(m)), and for everyIi,j, we can findIisuch thatIijIiand Iij=∅. Then we have

|Iij|

kIij:d

mXk,ξ

ε= hi

|Iij|

hi

kIij:d

mXk,ξ

ε

hi

|Iij|

hi

kIi:d

mXk,ξ

ε (asIijIi)

≤ 

δ

hi

kIi:d

mXk,ξ

ε,

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Sinceαis a lacunary refinement ofβ, so by Theorem . it follows thatXkξ(SαF(m))

impliesXkξ(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=IiJj,i,j= , , , . . . .If there existsδ> such that

|Iij|

(hi+gj)≥

δ for every i,j= , , , . . . provided Ii,j=∅,

then Xkξ(SθF(m))if and only if Xkξ(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) JsrItr=φ;

(ii) limr→∞|Jsr|

|Itr|=∞;

(iii) |JsrItr|

|Itr| ≥δ,r= , , . . ..

Proof Let there exist a sequenceX= (Xk) and a fuzzy numberξsuch thatXkξ(SβF(m))

andXkξ(SFθ(m)). Then we can find a subsequence (tr)⊆N,ε>  andδ>  such that

|Itr|

kItr:d

mXk,ξ

εδ, r= , , . . . .

For eachtr, there exist a positive integersrand a whole numberursuch that

Jsr+jItr=φ for everyj= , , , . . . ,r= , , . . . .

Then we can write

δ

|Itr|

kItr:d

mXk,ξ

ε

=

|Itr|

kn

j=

Jsr+j

Itr:d

mXk,ξ

ε

=

|Itr|

ur

j=

kJsr+jItr:d

mXk,ξ

ε

δ

|Itr|

j=,ur

kJsr+jItr :d

mXk,ξ

ε

+

|Itr|

<j<ur

kJsr+jItr :d

mXk,ξ

ε

=

|Itr|

j=,ur

kJsr+jItr :dmXk,ξ

ε

+

|Itr|

<j<ur

kJsr+j:d

mXk,ξ

(12)

=

|Itr|

j=,ur

kJsr+jItr :d

mXk,ξ

ε

+ <j<ur

|J

sr+j|

|Itr|

|Jsr+j|

kJsr+j:d

mXk,ξ

ε. (.)

SinceXkξ(SβF(m)), so for sufficiently largesr+j, we have

|Jsr+j|

kJsr+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|

kItr:d

mXk,ξ

ε

|Itr|

j=,ur

kJsr+jItr:d

mXk,ξ

ε+δ .

This implies that (|Itr|)

j=,ur|{kJsr+jItr:d(mXk,ξ)≥ε}| ≥δ, which implies that at

least one of the following two inequalities holds:

|Itr|

kJsrItr:d

mXk,ξ

εδ

 (.)

or

|Itr|

kJsr+urItr:d

mXk,ξ

εδ

. (.)

Suppose that equation (.) holds. Since|{k∈JsrItr:d(mXk,ξ)≥ε}| ≤ |JsrItr|, so using equation (.), we conclude that δ≤|JsrItr|

|Itr| , which proves (iii).

For suchsr,trchosen in the proof of (iii), from equation (.), we have

δ ≤

|Itr|

kJsrItr:d

mXk,ξ

ε

|J

sr|

|Itr|

|Jsr|

kJsrItr:d

mXk,ξ

ε. (.)

Since ( 

|Jsr|)|{kJsrItr :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=

 ifkJsrItr,  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|JItr|

sr| ≤

|Itr|

(13)

But (|I

tr|)|{k∈Itr :d(

mX

k, )≥ε}|= |Jsr|IItr|

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

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Cite this article as:Srivastava and Mohanta:Generalized lacunarym-statistically convergent sequences of fuzzy

References

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