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This article presents a new kind of class of all after composed set and fore composed set using the arbitrary binary relation based on nano topological space. We express the notion of nano equality, and nano inclusion and nano power set regarding binary relation based on nano topology. Also, we discuss their properties. Finally, the real life application of network topology is studied.

Thivagar and Richard [

Definition 2.1. [

Definition 2.2. [

Definition 2.3. [

(i) The Lower approximation of X with respect to R is the set of all objects, which can be for certain classified as X with respect to R and it is denoted by L R ( X ) . That is, L R ( X ) = ∪ x ∈ U { R ( x ) : R ( x ) ⊆ X } , where R(x) denotes the equivalence class determined by x.

(ii) The Upper approximation of X with respect to R is the set of all objects, which can be possibly classified as X with respect to R and it is denoted by U R ( X ) = ∪ X ∈ U { R ( x ) : R ( x ) ∩ X ≠ ∅ } .

(iii) The Boundary region of X with respect to R is the set of all objects which can be classified neither as X nor as not X with respect to R and it is denoted by B R ( X ) = U R ( X ) − L R ( X ) .

Definition 2.4. [

(i) U and ∅ ∈ τ R ( X ) .

(ii) The union of elements of any sub collection of τ R ( X ) is in τ R ( X ) .

(iii) The intersection of the elements of any finite sub collection of τ R ( X ) is in τ R ( X ) .

That is, τ R ( X ) forms a topology on U called as the nano topology on U with respect to X. We call { U , τ R ( X ) } as the nano topological space.

Throughout this paper a binary relation is called as a relation and also after composed set,fore composed set are called as relational topology.

In this section, we define the after and fore-composed sets based on nano topological space are investigated.

Definition 3.1. Let U be a non empty finite set of objects called the universe R be any binary relation on U . The class of all after- (resp., fore-) composed sets in ( U , R ) is an ordered pair of approximation space and τ R ∗ ( X ) = { U , ∅ , L R ( X ) , U R ( X ) , B R ( X ) } where X ⊆ U and if lower and upper approximations and boundary region of X is given by

(i) L R ( X ) = ∪ { G ∈ τ R : G ⊆ X } .

(ii) U R ( X ) = ∩ { H ∈ τ R : X ⊆ H } .

(iii) B R ( X ) = U R ( X ) − L R ( X ) .

where τ R ∗ ( X ) forms a topology on U called as the nano topology induced by relational topology on U with respect to any relation. We call ( U , τ R ∗ ( X ) ) as the nano topology induced by relational topology.

Example 3.2. Let U = { a , b , c , d } and X = { b } with R = { ( a , a ) , ( b , b ) , ( c , b ) , ( c , c ) , ( c , d ) , ( d , a ) } . Then we have a R = { a } , b R = { b } , c R = { b , c , d } , d R = { a } and R a = { a , d } , R b = { b , c } , R c = { c } , R d = { c } . Here τ R = { U , ∅ , { a } , { b } , { a , b } , { a , d } , { b , d } , { a , b , d } } and R τ = { U , ∅ , { c } , { b , c } , { c , d } , { b , c , d } , { a , c , d } } . Then L R ( X ) = { b } , U R ( X ) = { b , c } and B R ( X ) = { c } . Hence τ R ∗ ( X ) = { U , ∅ , { b } , { b , c } , { c } } .

Proposition 3.3. The class τ R / R τ in approximation space ( U , R ) in a topology on U .

Proof: We shall prove that τ R is a topology on U and similarly for R τ . Clearly U and ∅ are after composed sets,then U , ∅ ∈ τ R . Let A , B ∈ τ R , and let x ∈ A ∩ B .Then x ∈ A and x ∈ B , which implies that x R ⊆ A and x R ⊆ B .Thus x R ⊆ A ∩ B , and then A ∩ B ∈ τ R . Now,let A i ∈ τ R ∀ i ∈ I .Then x ∈ ∪ i ∈ I A i imply that there exist i 0 ∈ I such that x ∈ A i 0 ∈ ∪ i ∈ I A i , and hence x R ⊆ A i 0 ⊆ ∪ i ∈ I A i , that is ∪ i ∈ I A i ∈ τ R . Thus τ R / R τ is a topology on U .

In this section we will give the basic deviations for equality ( ≃ , ≂ , ≈ ) , inclusion ( ⊂ ˜ , ⊂ ˜ , ⊂ ˜ ˜ ) and power set is an ordinary set theoretical operation approach to approximation space in nano topology equipped with relation. The relation represents the basic and necessary concept to define the after and fore composed sets induced by relation over nano topological space.

Definition 4.1. Let ( U , τ R ∗ ( X ) ) be nano topological space induced by relational topology. Then the two subsets X , Y ⊆ U are called as follows:

(i) Nano Lower-equal in ( U , R ) , written X ≃ Y , if L R ( X ) = L R ( Y ) .

(ii) Nano Upper-equal in ( U , R ) ,written X ≂ Y , if U R ( X ) = U R ( Y ) .

(iii) Nano almost equal in ( U , R ) .written,if X ≈ Y , if X ≃ Y and X ≂ Y .

Example 4.2. Let U = { a , b , c , d , e } and R = { ( a , a ) , ( b , c ) , ( b , d ) , ( c , e ) , ( c , a ) , ( d , d ) , ( d , a ) , ( e , e ) } , where a R = { a } , b R = { c , d } , c R = { e , a } , d R = { d , a } , e R = { e } and R a = { a , c , d } , R b = ∅ , R c = { b } , R d = { b , d } , R e = { c , e } . Then τ R = { U , ∅ , { a } , { e } , { a , d } , { a , e } , { a , c , e } , { a , d , e } , { a , c , d , e } } and R τ = { U , ∅ , { b } , { b , c } , { b , c , d } , { b , c , e } , { a , b , c , d } , { b , c , d , e } } . Let X = { a , c , d } and Y = { a , b , d } . Then L R ( X ) = { a , d } = L R ( Y ) i.e., X ≃ Y and U R ( X ) = { a , b , c , d } = U R ( Y ) i.e., X ≂ Y . Thus X ≈ Y is equal to X ≃ Y and X ≂ Y .

Definition 4.3. Let ( U , τ R ∗ ( X ) ) be nano topological space induced by relational topology and X , Y ⊆ U . We say that:

(i) X is nano lower-included in Y, written X ⊂ ˜ Y , if L R ( X ) ⊆ L R ( Y ) .

(ii) X is nano upper-included in Y, written X ⊂ ˜ Y , if U R ( X ) ⊆ U R ( Y ) .

(iii) X is nano included in Y, written X ⊂ ˜ ˜ Y , if X ⊂ ˜ Y and X ⊂ ˜ Y .

Example 4.4. Consider U = { a , b , c , d } and R = { ( a , a ) , ( b , b ) , ( c , b ) , ( c , c ) , ( d , a ) } ,where a R = { a } , b R = { b } , c R = { b , c } , d R = { a } . Then τ R = { U , ∅ , { a } , { b } , { a , b } , { a , d } , { b , c } , { a , b , c } , { a , b , d } } and τ R ∗ = { U , ∅ , { c } , { d } , { a , d } , { b , c } , { c , d } , { a , c , d } , { b , c , d } } . Let X = { b , c } and Y = { a , b , d } , clearly X ⊈ Y and we have L R ( X ) = { b , c } , L R ( Y ) = { a , b , d } , U R ( X ) = { b , c } and U R ( Y ) = U . Then X ⊂ ˜ Y and X ⊂ ˜ Y which implies that X ⊂ ˜ ˜ Y .

Definition 4.5. Let ( U , R ) be approximation space and X in U . Then the family of all τ P ( R ) ( X ) = { U , ∅ , L P ( R ) ( X ) , U P ( R ) ( X ) , B P ( R ) ( X ) } forms a nano topology on U , which can be defined by

(i) L P ( R ) ( X ) = { ∀ Y ⊆ U : Y ⊂ ˜ X } .

(ii) U P ( R ) ( X ) = { ∀ Y ⊆ U : Y ⊂ ˜ X } .

(iii) B P ( R ) ( X ) = U P ( R ) ( X ) ∩ L P ( R ) ( X ) .

Then L P ( R ) ( X ) , U P ( R ) ( X ) , B P ( R ) ( X ) which is known as power set of lower approximation, power set of upper approximation and power set of boundary region of X.

Example 4.6. Consider the approximation space ( U , R ) in Example 4.4 and let X = { a , c } and P ( X ) = { X , ∅ , { a } , { c } } . Then L R ( X ) = { a } , U R ( X ) = { a , c , d } and hence L P ( R ) ( X ) = { U , ∅ , { a } , { c } , { d } , { c , d } } , U P ( R ) ( X ) = { U , ∅ , { a } , { c } , { d } , { a , d } , { c , d } , { a , c , d } } and B P ( R ) ( X ) = { U , ∅ , { a } , { c } , { d } , { c , d } } .

Clearly, P ( X ) ⊆ L P ( R ) ( X ) , P ( X ) ⊆ U P ( R ) ( X ) , P ( X ) ⊆ B P ( R ) ( X ) .

Proposition 4.7. If ( U , τ R ∗ ( X ) ) be nano topological space induced by relational topology and X , Y , X ′ , Y ′ ⊆ U . Then the following conditions are hold:

(i) If X ≃ Y , then ( X ∪ Y ) ≃ X ≃ Y .

(ii) If X ≂ Y , then ( X ∪ Y ) ≂ X ≂ Y .

(iii) If X ≃ X ′ and Y ≃ Y ′ , then ( X ∪ Y ) ≃ ( X ′ ∪ Y ′ ) .

(iv) If X ≂ X ′ and Y ≂ Y ′ , then ( X ∩ Y ) ≂ X ≂ Y ′ .

Proof:

(i) Let X ≃ Y , then L R ( X ) = L R ( Y ) . But L R ( X ∪ Y ) = L R ( X ) ∪ L R ( Y ) , then L R ( X ∪ Y ) = L R ( X ) ∪ L R ( X ) = L R ( X ) and L R ( X ∪ Y ) = L R ( Y ) ∪ L R ( Y ) = Math_193#. Hence ( X ∪ Y ) ≃ X ≃ Y .

(ii) By the proof(ii) is similar way as in proof (i).

(iii) Let X ≃ X ′ and Y ≃ Y ′ , then L R ( X ) = L R ( X ′ ) and U R ( Y ) = U R ( Y ′ ) . Thus L R ( X ) ∪ L R ( Y ) = L R ( X ′ ) ∪ L R ( Y ′ ) , which implies that L R ( X ∪ Y ) = Math_201#. Thus ( X ∪ Y ) ≂ ( X ′ ∪ Y ′ ) .

iv) By the proof is similar way as in (iii).

Proposition 4.8. Let ( U , R ) be approximation space and τ R ∗ ( X ) be nano topological space induced by relational topology and X , Y ⊆ U . Then

(i) X ≃ Y if and only if ( X c ) ≂ ( Y c ) .

(ii) If X ≂ ∅ or Y ≂ ∅ , then X ∩ Y ≂ ∅ .

(iii) If X ≃ U or Y ≃ U , then ( X ∪ Y ) ≃ U .

Proof:

(i) By the proof is directly from the definition 4.0.

(ii) Let X ≂ ∅ or Y ≂ ∅ , then U R ( X ) = U R ( ∅ ) = ∅ or U R ( Y ) = U R ( ∅ ) = ∅ . Then U R ( X ∩ Y ) = U R ( X ) ∩ U R ( Y ) = ∅ = U R ( ∅ ) , that is ( X ∩ Y ) ≂ ∅ .

(iii) By the similar way as in (ii).

Proposition 4.9. Let ( U , τ R ∗ ( X ) ) be relational topology based on nano topological space and X , Y ⊆ U . Then

(i) If X ⊆ Y , then X ⊂ ˜ Y , X ⊂ ˜ Y and X ⊂ ˜ ˜ Y .

(ii) X ⊂ ˜ Y , and Y ⊂ ˜ X if and only if X ≂ Y .

(iii) X ⊂ ˜ Y and Y ⊂ ˜ X if and only if X ≃ Y .

(iv) X ⊂ ˜ ˜ Y and Y ⊂ ˜ ˜ X if and only if X ≈ Y .

Proof:

(i) The proof is directly from the definition obvious.

(ii) X ⊂ ˜ Y and Y ⊂ ˜ X iff L R ( X ) ⊆ L R ( Y ) and L R ( Y ) ⊆ L R ( X ) iff L R ( Y ) = L R ( X ) iff X ≂ Y .

(iii) and (iv) by similar way as in (ii).

Proposition 4.10. If ( U , R ) be approximation space and τ R ∗ ( X ) be nano topological space induced by relational topology, and X , Y , X ′ , Y ′ ⊆ U .Then

(i) X ⊂ ˜ Y if and only if ( X ∩ Y ) ≂ X .

(ii) X ⊂ ˜ Y if and only if ( X ∪ Y ) ≃ Y

(iii) ( X ∩ Y ) ⊂ ˜ X ⊂ ˜ ( X ∪ Y ) .

(iv) If X ⊆ Y , X ≂ X ′ and Y ≂ Y ′ , then X ′ ⊂ ˜ Y ′ .

(v) If X ⊆ Y , X ≃ X ′ and Y ≃ Y ′ and Y ≃ Y ′ , then X ′ ⊂ ˜ Y ′ .

(vi) If X ⊆ Y , X ≈ X ′ and Y ≈ Y ′ , then X ′ ⊂ ˜ Y ′ .

(vii) If X ′ ⊂ ˜ X and Y ′ ⊂ ˜ Y , then ( X ′ ∪ Y ′ ) ⊂ ˜ ( X ∪ Y ) .

(viii) X ′ ⊂ ˜ X and Y ⊂ ˜ Y , then ( X ′ ∩ Y ′ ) ⊂ ˜ ( X ∩ Y ) .

Proof:

(i) Let X ⊂ ˜ Y iff L R ( X ) ⊆ L R ( Y ) iff L R ( X ) ∩ L R ( Y ) iff L R ( X ∩ Y ) = Math_269# iff ( X ∩ Y ) ≂ X .

(ii) By the proof is similar way as in (i).

(iii) Since L R ( X ∩ Y ) = L R ( X ) ∩ L R ( Y ) and L R ( X ∪ Y ) = L R ( X ) ∪ L R ( Y ) . Then L R ( X ∩ Y ) ⊆ L R ( X ) and U R ( X ) ⊆ ( X ∪ Y ) and hence ( X ∩ Y ) ⊂ ˜ X ⊂ ˜ ( X ∪ Y ) .

(iv) Let X ⊆ Y , X ≂ X ′ and Y ≃ Y ′ ,then L R ( X ) ⊆ L R ( Y ) , L R ( X ) = Math_282# and L R ( Y ) = L R ( Y ′ ) . Thus L R ( X ′ ) ⊆ L R ( Y ′ ) and then X ′ ⊂ ˜ Y ′ .

(v) and (vi) By the proof is similar way as in(iv).

(vi) Let X ′ ⊂ ˜ X and Y ′ ⊂ ˜ Y , then U R ( X ′ ) ⊆ U R ( X ) and U R ( Y ′ ) ⊆ Math_290# and hence U R ( X ′ ) ∪ U R ( Y ′ ) ⊆ U R ( X ) ∪ U R ( Y ) and U R ( X ′ ∪ Y ′ ) ⊆ Math_293#. That is ( X ′ ∪ Y ′ ) ⊂ ˜ ( X ∪ Y ) .

(vii) By the proof is similar way as in (vii).

Proposition 4.11. Let ( U , τ R ∗ ( X ) ) be nano topological space induced by relational topology on U and ( U , R ) be approximation space. Let X , Y , Z ⊆ U . Then

(i) If X ⊂ ˜ Y and X ≂ Z , then Z ⊂ ˜ Y .

(ii) If X ⊂ ˜ Y and X ≃ Z , then Z ⊂ ˜ Y .

(iii) If X ⊂ ˜ ˜ Y and X ≈ Z , then Z ⊂ ˜ ˜ Y .

Proof: The proof is similar way as in proposition 4.10

Proposition 4.12. Let ( U , τ R ∗ ( X ) ) be nano topological space induced by relational topology on U . Then P ( X ) ⊆ L P ( R ) ( X ) , P ( X ) ⊆ U P ( R ) ( X ) , P ( X ) ⊆ B P ( R ) ( X ) .

Proof: Let Y ∈ P ( X ) , then Y ⊆ X and hence L R ( Y ) ⊆ L R ( X ) and U R ( Y ) ⊆ U R ( X ) . Thus Y ⊂ X , Y ⊂ ˜ X , which implies that Y ∈ L P ( R ) ( X ) , Math_319# and Y ∈ B P ( R ) ( X ) . Thus P ( X ) ⊆ L P ( R ) ( X ) , P ( X ) ⊆ U P ( R ) ( X ) , B P ( R ) ( X ) .

Proposition 4.13. Let ( U , τ R ∗ ( X ) ) be nano topological space induced by relational topology on U and ( U , R ) be approximation space. Let X , Y ⊆ U . Then

(i) If X ⊂ ˜ Y then L P ( R ) ( X ) ⊆ L P ( R ) ( Y ) .

(ii) If X ⊂ ˜ Y then U P ( R ) ( X ) ⊆ U P ( R ) ( Y ) .

(iii) If X ⊂ ˜ ˜ Y then B P ( R ) ( X ) ⊆ B P ( R ) ( Y ) .

(iv) If X ≂ Y if and only if L P ( R ) ( X ) = L P ( R ) ( Y ) .

(v) If X ≃ Y if and only if U P ( R ) ( X ) = U P ( R ) ( Y ) .

(vi) If X ≈ Y if and only if B P ( R ) ( X ) = B P ( R ) ( Y ) .

Proof:

(i) Let X ⊂ ˜ Y , then L R ( X ) ⊆ L R ( Y ) . Now let Z ∈ L P ( R ) ( X ) , then Z ⊂ ˜ X , that is L R ( Z ) ⊆ L R ( X ) . Thus by L R ( Z ) ⊆ L R ( Y ) and then Z ⊂ ˜ Y . Hence Z ∈ L P ( R ) ( Y ) and then L P ( R ) ( X ) ⊆ L P ( R ) ( Y ) .

(ii) and (iii) by the proof is same way as in (i).

(iii) If X ≂ Y iff X ⊂ ˜ Y and Y ⊂ ˜ X iff L P ( R ) ( X ) ⊆ L P ( R ) ( Y ) and L P ( R ) ( Y ) ⊆ L P ( R ) ( X ) iff L P ( R ) ( X ) = L P ( R ) ( Y ) .

(iv) and (vi) by the proof is same way as in (iv).

Proposition 4.14. If ( U , τ R ∗ ( X ) ) be relational topology based on nano topological space and ( U , R ) be approximation space. Let X , Y ⊆ U . Then

(i) X ∈ L P ( R ) ( X ) , X ∈ U P ( R ) ( X ) and X ∈ B P ( R ) ( X ) .

(ii) If X ⊆ Y , then L P ( R ) ( X ) ⊆ L P ( R ) ( Y ) , U P ( R ) ( X ) ⊆ U P ( R ) ( Y ) and B P ( R ) ( X ) ⊆ B P ( R ) ( Y ) .

Proof:

(i) Since ⊂ ˜ , ⊂ ˜ , ⊂ ˜ ˜ are ordering relations. Then X ⊂ ˜ X , X ⊂ ˜ X and X ⊂ ˜ ˜ X and hence X ∈ L P ( R ) ( X ) , X ∈ U P ( R ) ( X ) and X ∈ B P ( R ) ( X ) .

(ii) Let X ⊆ Y , then X ⊂ ˜ Y , X ⊂ ˜ Y and X ⊂ ˜ ˜ Y . Hence L P ( R ) ( X ) ⊆ L P ( R ) ( Y ) , U P ( R ) ( X ) ⊆ U P ( R ) ( Y ) and B P ( R ) ( X ) ⊆ B P ( R ) ( Y ) .

In this section, we discuss the application of computer networking topology refers to the layout or design of the connected devices to applied in nano topological space. It is well known that the computation of lower and upper approximations and boundary region is an approximation space ( U , R ) . The network topologies [

Example 5.1. Let U = { x 1 , x 2 , x 3 , x 4 } be a set of four different network topology, where x 1 is a bus topology, x 2 is a ring topology, x 3 is a star topology, x 4 is a mesh topology and A = { A 1 , A 2 , A 3 } be the attributes of network topology, where A 1 = The method of transfer data = {Broadcast, Multicast, Unicast} = { a 1 , b 1 , c 1 } , A 2 = Cable Type = {Twistedpaircable, Thin Coaxialcable, Thick Coaxialcable, Fiber opticcable} = { a 2 , b 2 , c 2 , d 2 } and A 3 = Bandwidth Capacity, {10 Mbit/s, 10 - 100 Mbit/s, 10 Mbit/s - 40 Gbit/s} = { a 3 , b 3 , c 3 } .

Data for Network Topology

If R = { ( x 1 , x 1 ) , ( x 2 , x 2 ) , ( x 3 , x 3 ) , ( x 4 , x 4 ) , ( x 1 , x 2 ) , ( x 1 , x 3 ) , ( x 2 , x 1 ) , ( x 2 , x 3 ) , ( x 4 , x 3 ) } . with x 1 R = { x 1 , x 2 , x 3 } ; x 2 R = { x 1 , x 2 , x 3 } ; x 3 R = { x 3 } ; x 4 R = { x 3 , x 4 } and R x 1 = { x 1 , x 2 } ; R x 2 = { x 1 , x 2 } ; R x 3 = U ; R x 4 = { x 4 } and we get τ R = { U , ∅ , { x 3 } , { x 1 , x 2 , x 3 } } , R τ = { U , ∅ , { x 4 } , { x 1 , x 2 } , { x 1 , x 2 , x 4 } } . Now we have to calculate the nano approximate equal, nano inclusion, nano power set as the following example: Let X = { x 1 , x 2 , x 3 } and Y = U . Then L R ( X ) = Math_423# and L R ( Y ) = { x 1 , x 2 , x 3 } and U R ( X ) = U = U R ( Y ) . Hence L R ( X ) = L R ( Y ) that is X ≂ Y and U R ( X ) = U R ( Y ) that is X ≃ Y . Thus X ≈ Y although X ≠ Y .

Next, we show that the nano inclusion. Let X = { x 3 , x 4 } and Y = { x 1 , x 2 , x 3 } Math_434#. Clearly, X ⊈ Y we have L R ( X ) = { x 3 } and L R ( Y ) = { x 1 , x 2 , x 3 } and U R ( X ) = U = U R ( Y ) . Hence L R ( X ) ⊆ L R ( Y ) that is X ⊂ ˜ Y and U R ( X ) ⊆ U R ( Y ) that is X ⊂ ˜ Y .Thus X ⊂ ˜ ˜ Y although X ⊈ Y . Then we have to prove that nano power set.Let X = { x 1 , x 3 } Then L R ( X ) = { x 3 } and U R ( X ) = U and P ( X ) = { X , ∅ , { x 1 } , { x 3 } } . We obtain that

L P ( R ) ( X ) = { U , ∅ , { x 1 } , { x 2 } , { x 3 } , { x 4 } , { x 1 , x 2 } , { x 1 , x 3 } , { x 1 , x 4 } , { x 2 , x 3 } , { x 2 , x 4 } , { x 1 , x 2 , x 4 } , { x 2 , x 3 , x 4 } , { x 3 , x 4 } } and U P ( R ) ( X ) = { U , ∅ , { x 1 } , { x 2 } , { x 3 } , { x 4 } , { x 1 , x 2 } , { x 1 , x 3 } , { x 1 , x 4 } , { x 2 , x 3 } , { x 2 , x 4 } , { x 3 , x 4 } , { x 1 , x 2 , x 3 } , { x 1 , x 2 , x 4 } , { x 2 , x 3 , x 4 } , { x 1 , x 3 , x 4 } } , and B P ( R ) ( X ) = { U , ∅ , { x 1 } , { x 2 } , { x 3 } , { x 4 } , { x 1 , x 2 } , { x 1 , x 3 } , { x 1 , x 4 } , { x 2 , x 3 } , { x 2 , x 4 } , { x 1 , x 2 , x 4 } , { x 2 , x 3 , x 4 } , { x 3 , x 4 } } .

Then the observations are follows:

(i) If two different set X and Y which are not equal that is X ≠ Y in ordinary set theory can be approximate equal in nano topological space that is L R ( X ) = L R ( Y ) i.e., X ≃ Y , U R ( X ) = U R ( Y ) i.e., X ≂ Y thus X ≈ Y .

(ii) If the nano inclusion of sets does not imply the inclusion of sets.

(iii) If the concept of power set P(X) in ordinary set theory differs from the concept of nano power set in nano topological space and it is clear that L P ( R ) ( X ) ∉ P ( X ) , U P ( R ) ( X ) ∉ P ( X ) , B P ( R ) ( X ) ∉ P ( X ) .

This paper systematically studied that any kind of binary relation can be used to relational topology induced by nano topological space. The main aspect of this paper is to introduce nano topology by using the class of all after-composed set and the class of all fore-composed set. Now, we define the new operators in nano equality, nano inclusion and nano power set are now clear with respect to any relation in nano topology. We have proved that there exist similar properties. We will investigate the application of network topology.

The authors are grateful to the anonymous referee for a careful checking of the details and for helpful comments that improved this paper and funding for this work was supported by University Grants Commission, New Delhi.

Antony, L.T.M. and Rajendran, P.S.P. (2017) Heuristic Approach to Establish New Operators via Nano Topology. Applied Mathematics, 8, 1186-1194. https://doi.org/10.4236/am.2017.88089