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Article

Bases of G-V Intuitionistic Fuzzy Matroids

School of Science/Key Lab of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(9), 1392; https://doi.org/10.3390/math8091392
Submission received: 28 June 2020 / Revised: 11 August 2020 / Accepted: 14 August 2020 / Published: 20 August 2020
(This article belongs to the Special Issue Intuitionistic Fuzzy Sets and Applications)

Abstract

:
The purpose of this paper is to study intuitionistic fuzzy bases ( I F B s ) and the intuitive structure of a G V I F M . Firstly, the intuitionistic fuzzy basis ( I F B ) of a G V I F M is defined; then the h-range and properties of an I F B are presented and a necessary and sufficient condition of a closed G V I F M is studied. Especially, a necessary and sufficient condition of judging an I F B is presented and the intuitive tree structure of a closed G V I F M is proposed and its properties are discussed.

1. Introduction

Whitney’s 1935 article laid the groundwork for the field of combinatorial geometries and matroid [1]. Matroid theory has been widely applied to combinatorial mathematics, combinatorial optimization and group theory [2,3,4,5,6,7,8]. Based on the fuzzy set theory proposed by Zadeh in 1965 [9], matroid theory has been generalized to various forms related to fuzzy sets. Shi [10,11] proposed the ( L , M ) -fuzzy matroid based on latticevalued fuzzy set theory and studied the base axioms of fuzzitying matroids [12,13,14]. Hsueh presented a fuzzification of matroids which extends the independence axioms of matroids [15]. Al-Hawary introduced a method to the fuzzifying of matroids which is called fuzzy C-matroids [16,17]. In 1988, Goetschel and Voxman proposed an important fuzzy matroid (briefly, G V fuzzy matroid) in [18]. They further studied some important concepts and their properties, such as the fuzzy bases and the fuzzy rank function [19,20,21,22]. Following them, some scholars studied the axioms, the connectedness and the structure of G V fuzzy matroid, etc. [23,24,25].
The intuitionistic fuzzy set ( I F S ), introduced by Atanassov originally in 1983 [26] and made widely accessible in 1986 [27], is a generalization of Zadeh’s fuzzy set. An I F S of each element is an ordered pair which is called an intuitionistic fuzzy value ( I F V ) and each I F V is characterized by a membership degree, a nonmembership degree and a hesitancy degree. From then on, many scholars were attracted to study the I F S and obtained a lot of valuable results. For ranking the I F S s , Hong and Choi proposed the accuracy function in 2000 [28] and Szmidt and Kacprzyk proposed a similarity function of I F S s in 2004 [29]. Based on the accuracy function and the similarity function, Zhang and Xu introduced a new method for ranking I F S s in 2012 [30]. In 2013, Rangasamy et al. proposed a method by ranking to be done using the scores and accuracy for finding the shortest hyperpath in an intuitionistic fuzzy weighted hypergraph [31]. Some other scholars studied the aggregation operators and fuzzy clustering of I F S s [32,33,34]. After decades of effort from scholars, the relevant achievements of intuitionistic fuzzy theory became very rich. In 1999, Atanassov completed his first monograph which discussed the concept and operators of I F S s , the interval valued I F S s , some other extensions of I F S s , the elements of I F S s and the applications of I F S s [35]. There are some other scholars’ results worthy of learning and researching; see [36,37,38]. In 2017, Li and Yi proposed an intuitionistic fuzzy matroid based on matroids and intuitionistic fuzzy sets [39]. In [40], Li et al. extended G V fuzzy matroids and introduced a G V intuitionistic fuzzy matroid and studied the induced matroid sequence and the rank function. In this paper, based on the literature [19,25,40], we study the bases and the structure of a G V intuitionistic fuzzy matroid (briefly, G V I F M ), which are actually generalizations of some conclusions of G V fuzzy matroid.
This paper is arranged as follows. Some basic definitions and results are introduced in Section 2. The I F B s of a G V I F M are studied in Section 3. The judgment of an I F B is investigated in Section 4. Finally, we propose the tree structure of a closed G V I F M and study its properties in Section 5.

2. Preliminaries and Notations

We introduce some basic and useful concepts related to matroid theory here; see [41,42]. Firstly, we introduce the concept of the matroid.
Definition 1.
Let I be a nonempty family of subsets of a finite set E and satisfy:
1.
I .
2.
If X I , and Y X , then Y I .
3.
If X , Y I , and | Y | > | X | , then there exists an x Y \ X such that X { x } I .
Then the pair M = ( E , I ) is called a matroid (or a crisp matroid). For any A E , if A I , then A is called an independent set; otherwise A is called a dependent set.
In matroid theory, rank function and its submodularity are very important. They are defined as follows.
Definition 2.
Let P ( E ) be the power set of finite set E and M = ( E , I ) be a matroid. R is called rank function of M, where R : P ( E ) { 0 , 1 , 2 , , | E | } is a mapping and is defined as follows:
R ( X ) = m a x { | Y | | Y X , a n d Y I } .
From the definition of R, the following properties can be easily obtained.
  • If X Y , then R ( X ) R ( Y ) ;
  • R ( X ) | X | for any X P ( E ) ;
  • If X I , then R ( X ) = | X | ,
where X , Y P ( E ) .
Definition 3.
Let σ : P ( E ) [ 0 , ) be a mapping, where P ( E ) is the power set of finite set E. σ is called submodular if
σ ( X ) + σ ( Y ) σ ( X Y ) + σ ( X Y ) ,
for each X , Y P ( E ) .
Theorem 1.
The rank function R of a matroid M = ( E , I ) is submodular.
Next, some concepts and notations concerning fuzzy sets or intuitionistic fuzzy sets are cited; see [9,18,19,26,27,28,29,30,31,32,33,34,35,36,37,38,40].
Definition 4.
Let X be a fixed set. Then
A = { ( x , μ A ( x ) ) | x X }
is called a fuzzy set, where μ A ( x ) is the membership degree of x to A, 0 μ A ( x ) 1 . The collection of fuzzy sets on X is denoted by F S ( X ) .
Definition 5.
Let X be a fixed set. Then
A = { ( x , μ A ( x ) , ν A ( x ) ) | x X }
is called an I F S (i.e., intuitionistic fuzzy set). For any x X , μ A ( x ) , ν A ( x ) and π A ( x ) are called membership degree, non-membership degree and hesitancy degree, respectively, where μ A ( x ) , ν A ( x ) , π A ( x ) 0 and μ A ( x ) + ν A ( x ) + π A ( x ) = 1 . The collection of I F S s on X is denoted by I F S ( X ) . If for all x X , π A ( x ) = 0 , then μ A ( x ) + ν A ( x ) = 1 and I F S A is reduced to a fuzzy set. In this paper, we use ( μ α , ν α , π α ) to denote intuitionistic fuzzy set and ( μ α ( x ) , ν α ( x ) , π α ( x ) ) to denote intuitionistic fuzzy value.
For convenience and suitable for the study of G V intuitionistic fuzzy matroids later, an I F S ( μ α , ν α , π α ) is abbreviated as ( μ α , π α ) and an I F V ( μ α ( x ) , ν α ( x ) , π α ( x ) ) is denoted by ( μ α ( x ) , π α ( x ) ) . Note that this notation is different from that in Definition 5.
Definition 6.
Let ( μ α , π α ) I F S ( X ) be an I F S . Then the accuracy function H of ( μ α ( x ) , π α ( x ) ) , ( x X ) is denoted by
H ( μ α ( x ) , π α ( x ) ) = 1 π α ( x )
Definition 7.
Let ( μ α , π α ) I F S ( X ) be an I F S . Then the similarity function h of ( μ α ( x ) , π α ( x ) ) for any x X is
h ( μ α ( x ) , π α ( x ) ) = 1 1 μ α ( x ) 1 + π α ( x ) .
In the special case π α ( x ) = 0 , we have h ( μ α ( x ) , π α ( x ) ) = μ α ( x ) .
Let X be a finite set and ( μ α , π α ) , ( μ β , π β ) I F S ( X ) be I F S s and x X . We now introduce the following notation and results; see [40]:
  • H ( μ α , π α ) ( x ) = H ( μ α ( x ) , π α ( x ) ) .
    h ( μ α , π α ) ( x ) = h ( μ α ( x ) , π α ( x ) ) .
    ( μ α , π α ) ( x ) = ( μ α ( x ) , π α ( x ) ) .
  • ( μ α , 0 ) = ( μ α , π α ) if π α ( x ) = 0 for any x X .
  • h ( μ α , π α ) h ( μ β , π β ) : for any x X , h ( μ α ( x ) , π α ( x ) ) h ( μ β ( x ) , π β ( x ) ) .
    h ( μ α , π α ) = h ( μ β , π β ) : for any x X , h ( μ α ( x ) , π α ( x ) ) = h ( μ β ( x ) , π β ( x ) ) .
    h ( μ α , π α ) < h ( μ β , π β ) : h ( μ α , π α ) h ( μ β , π β ) and h ( μ α ( x ) , π α ( x ) ) < h ( μ β ( x ) , π β ( x ) ) for some x X .
  • H ( μ α , π α ) H ( μ β , π β ) : for any x X , H ( μ α ( x ) , π α ( x ) ) H ( μ β ( x ) , π β ( x ) ) .
    H ( μ α , π α ) = H ( μ β , π β ) : for any x X , H ( μ α ( x ) , π α ( x ) ) = H ( μ β ( x ) , π β ( x ) ) .
    H ( μ α , π α ) < H ( μ β , π β ) : H ( μ α , π α ) H ( μ β , π β ) and H ( μ α ( x ) , π α ( x ) ) < H ( μ β ( x ) , π β ( x ) ) for some x X .
  • ( μ α , π α ) ( μ β , π β ) : h ( μ α , π α ) h ( μ β , π β ) and H ( μ α , π α ) H ( μ β , π β ) .
    ( μ α , π α ) ( μ β , π β ) : h ( μ α , π α ) < h ( μ β , π β ) and H ( μ α , π α ) H ( μ β , π β ) .
    ( μ α , π α ) = ( μ β , π β ) : h ( μ α , π α ) = h ( μ β , π β ) and H ( μ α , π α ) = H ( μ β , π β ) .
  • supp ( μ α , π α ) = { x X | h ( μ α ( x ) , π α ( x ) ) > 0 } .
  • m ( μ α , π α ) = i n f { h ( μ α ( x ) , π α ( x ) ) | x supp ( μ α , π α ) } .
  • C r ( μ α , π α ) = { x X | h ( μ α ( x ) , π α ( x ) ) r } , where 0 r 1 .
  • R + ( μ α , π α ) = { h ( μ α ( x ) , π α ( x ) ) | h ( μ α ( x ) , π α ( x ) ) > 0 , x X } is called the positive h r a n g e of ( μ α , π α ) .
  • | ( μ α , π α ) | = x X h ( μ α ( x ) , π α ( x ) ) is called the "cardinality" of an I F S .
Definition 8.
Let ( μ α , π α ) , ( μ β , π β ) be two intuitionistic fuzzy sets, x X . ( μ γ , π γ ) = ( μ α , π α ) ( μ β , π β ) and ( μ ω , π ω ) = ( μ α , π α ) ( μ β , π β ) are called the union and intersection of ( μ α , π α ) and ( μ β , π β ) , respectively, where ( μ γ , π γ ) is defined by
( μ γ , π γ ) ( x ) = ( μ α , π α ) ( x ) , i f h ( μ α , π α ) ( x ) > h ( μ β , π β ) ( x ) , ( μ β , π β ) ( x ) , i f h ( μ α , π α ) ( x ) < h ( μ β , π β ) ( x ) , ( μ α , π α ) ( x ) , i f h ( μ α , π α ) ( x ) = h ( μ β , π β ) ( x ) a n d H ( μ α , π α ) ( x ) H ( μ β , π β ) ( x ) , ( μ β , π β ) ( x ) , i f h ( μ α , π α ) ( x ) = h ( μ β , π β ) ( x ) a n d H ( μ α , π α ) ( x ) < H ( μ β , π β ) ( x ) .
and ( μ ω , π ω ) is defined by
( μ ω , π ω ) ( x ) = ( μ β , π β ) ( x ) , i f h ( μ α , π α ) ( x ) > h ( μ β , π β ) ( x ) , ( μ α , π α ) ( x ) , i f h ( μ α , π α ) ( x ) < h ( μ β , π β ) ( x ) , ( μ β , π β ) ( x ) , i f h ( μ α , π α ) ( x ) = h ( μ β , π β ) ( x ) a n d H ( μ α , π α ) ( x ) H ( μ β , π β ) ( x ) , ( μ α , π α ) ( x ) , i f h ( μ α , π α ) ( x ) = h ( μ β , π β ) ( x ) a n d H ( μ α , π α ) ( x ) < H ( μ β , π β ) ( x ) .
Definition 9.
Let E be a finite set and ψ I F S ( E ) be a nonempty family of fuzzy sets. The pair ( E , ψ ) is called a G V I F M on E if it satisfies the following conditions:
1.
If ( μ α , π α ) ψ , ( μ β , π β ) I F S ( E ) , and ( μ β , π β ) ( μ α , π α ) , then ( μ β , π β ) ψ .
2.
If ( μ α , π α ) , ( μ β , π β ) ψ , and |supp ( μ α , π α ) | < | supp ( μ β , π β ) | , then there exists ( μ ω , π ω ) ψ , such that:
(a) 
( μ α , π α ) ( μ ω , π ω ) ( μ α , π α ) ( μ β , π β ) ;
(b) 
m ( μ ω , π ω ) m i n { m ( μ α , π α ) , m ( μ β , π β ) } .
Suppose that ( E , ψ ) is a G V I F M . ( μ α , π α ) ψ is called an independent I F S and ψ is called the set of independent I F S s . ( μ β , π β ) ψ is called a dependent I F S .
If for any ( μ α , π α ) I F S ( E ) and for any x E , π α ( x ) = 0 , then I F S ( E ) is actually F S ( E ) . Thus, ( E , ψ ) is reduced to G V F M .
Theorem 2.
Let ( E , ψ ) be a G V I F M . For each r, 0 r 1 , let
I r = { C r ( μ α , π α ) | ( μ α , π α ) ψ }
Then for each r, 0 < r 1 ,
M r = ( E , I r )
is a matroid.
Theorem 3.
Let ( E , ψ ) be a G V I F M . Let M r = ( E , I r ) be a matroid on E defined in Theorem 2, where 0 < r 1 . Then there is a finite sequence r 0 < r 1 < < r n such that:
(i) 
r 0 = 0 , r n = 1 .
(ii) 
I s { ϕ } if 0 < s r n , I s = { ϕ } if s > r n .
(iii) 
If r i < s , t < r i + 1 , then I s = I t , where 0 i n 1 .
(iv) 
If r i < s < r i + 1 < t < r i + 2 , then I s I t , where 0 i n 2 .
Then the sequence r 0 , r 1 , r 2 , , r n is called the fundamental sequence of ( E , ψ ) . Moreover, if for any i, 1 i n , let r ¯ i = r i 1 r i , then we can get a sequence of matroids M r ¯ n M r ¯ n 1 M r 2 ¯ M r 1 ¯ which is called the i n d u c e d matroid sequence.
Note that C r ( μ α , π α ) = { x E | h ( μ α ( x ) , π α ( x ) ) r } , where 0 < r 1 , and I r = { C r ( μ α , π α ) | ( μ α , π α ) ψ } , so I s = { ϕ } not but I s = { ϕ } when s > r n .
A matroid sequence can be constructed from a G V I F M above. On the contrary, a G V I F M can be constructed from a matroid sequence.
Theorem 4.
Let 0 = s 0 < s 1 < s 2 < < s n 1 be a finite sequence. Suppose that M s 1 , M s 2 , , M s n 1 , M s n ( M s i = ( E , I s i ) , 1 i n ) is a matroid sequence on a finite set E and satisfies I s i + 1 I s i ( 0 i n 1 ) . For any 0 s 1 , let
I s = I s i , i f s i 1 < s s i , 0 i n , { ϕ } , i f s n < s 1 .
and let
ψ * = { ( μ α , π α ) I F S ( E ) | C s ( μ α , π α ) I s , 0 < s 1 } .
Then ( E , ψ * ) is a G V I F M and its i n d u c e d matroid sequence is M s n M s n 1 M s 2 M s 1 , where for 1 i n , M s i = ( E , I s i ) .
Theorem 5.
Let ( E , ψ ) be a G V I F M , and for each r, let 0 < r 1 , M r = ( E , I r ) be a matroid defined by Theorem 2. Let ψ * = { ( μ α , π α ) I F S ( E ) | C r ( μ α , π α ) I r , 0 < r 1 } . Then ψ = ψ * .
Theorem 6.
Let ( E , ψ ) be a G V I F M and ( μ α , π α ) I F S ( E ) . Then ( μ α , π α ) ψ if and only if C λ ( μ α , π α ) I λ for each λ R + ( μ α , π α ) .
Theorem 7.
Suppose that ( E , ψ ) is a G V I F M with the fundamental sequence 0 = r 0 < r 1 < r 2 < < r n 1 . If I r = I r i for any r i 1 < r r i ( 0 i n ), then ( E , ψ ) is called a closed G V I F M .

3. Bases of G V IFMs

Based on G V I F M s and bases of matroids or fuzzy matroids, we propose the concept of the intuitionistic fuzzy basis of a G V I F M .
Definition 10.
Let ( E , ψ ) be a G V I F M . ( μ α , π α ) ψ is said to be maximal in ψ. If for any ( μ β , π β ) ψ and ( μ α , π α ) ( μ β , π β ) , then ( μ α , π α ) = ( μ β , π β ) . I.e., there does not exist ( μ β , π β ) ψ such that ( μ α , π α ) ( μ β , π β ) ).
An intuitionistic fuzzy basis ( I F B for short) of a G V I F M ( E , ψ ) is a maximal member ( μ α , π α ) ψ .
Suppose that ( μ α , π α ) is an I F B and ( μ β , π β ) I F S ( E ) . Let h ( μ β , π β ) = h ( μ α , π α ) and H ( μ β , π β ) < H ( μ α , π α ) ; then ( μ β , π β ) ( μ α , π α ) and | ( μ β , π β ) | = | ( μ α , π α ) | . Obviously, ( μ β , π β ) ψ . Therefore, ( μ β , π β ) here is called an intuitionistic fuzzy sub-basis ( I F S B for short) with respect to I F B ( μ α , π α ) for a G V I F M ( E , ψ ) . Generally, there are infinite I F S B s for a G V I F M and their cardinality is the same as that of the corresponding I F B .
Definition 11.
An I F S ( μ α , π α ) is an elementary I F S if R + ( μ α , π α ) = 1 . If ( μ α , π α ) is an elementary I F S with A = supp ( μ α , π α ) and R + ( μ α , π α ) = { r } , then ( μ α , π α ) is denoted by ω ( A , r ) with support A and height r.
Theorem 8.
Suppose that ( μ α , π α ) ψ is an I F B of a G V I F M ( E , ψ ) , then π α ( x ) = 0 for each x E .
Proof. 
Assume that there exists an x 0 E such that π α ( x 0 ) = η > 0 . Let h ( μ β , π β ) = h ( μ α , π α ) for each x E and
π β ( x ) = π α ( x ) , i f x E a n d x x 0 , η 2 , i f x = x 0 .
Then H ( μ α , π α ) < H ( μ β , π β ) . It follows that ( μ α , π α ) ( μ β , π β ) . However, for each λ R + ( μ α , π α ) , we have C λ ( μ β , π β ) = C λ ( μ α , π α ) I λ . Then ( μ β , π β ) ψ from Theorem 6. This contradicts the hypothesis.
Here, we will use Theorem 6 to prove the next theorem. □
Theorem 9.
Let ( E , ψ ) be a G V I F M with the fundamental sequence 0 = r 0 < r 1 < r 2 < < r n 1 and suppose ( μ α , π α ) is an I F B of ( E , ψ ) ; then
R + ( μ α , π α ) { r 1 , r 2 , , r n } .
Proof. 
Let ( μ α , π α ) be an I F B of ( E , ψ ) . Then ( μ α , π α ) ψ . It follows that C λ ( μ α , π α ) I λ for each λ R + ( μ α , π α ) .
Assume that there is an s R + ( μ α , π α ) such that r i < s < r i + 1 . We take ε = ( r i + 1 s ) / 2 and let ( μ β , π β ) be the elementary I F S which is defined by supp ( μ β , π β ) = C s ( μ α , π α ) and R + ( μ β , π β ) = s + ε .
If we let ( μ ω , π ω ) = ( μ α , π α ) ( μ β , π β ) , then for each r ( 0 , 1 ] , we have
C r ( μ ω , π ω ) = C s ( μ α , π α ) I s , i f r ( s , s + ε ] , C r ( μ α , π α ) I r , i f r ( s , s + ε ] .
By Theorem 6, we have ( μ ω , π ω ) ψ .
By the hypothesis, for ( μ α , π α ) , we have that there exists x 0 s u p p ( μ α , π α ) such that h ( μ α ( x 0 ) , π α ( x 0 ) ) = s . Thus h ( μ ω ( x 0 ) , π ω ( x 0 ) ) = s + ε . Since ( μ α , π α ) ( μ ω , π ω ) , ( μ α , π α ) ( μ ω , π ω ) . This contradicts that ( μ α , π α ) is an I F B . □
Theorem 10.
Suppose that ( E , ψ ) is a G V I F M and 0 = r 0 < r 1 < r 2 < < r n 1 is the fundamental sequence of ( E , ψ ) . Then ( E , ψ ) is closed if and only if for any ( μ α , π α ) ψ , there exists an I F B ( μ β , π β ) ψ such that ( μ α , π α ) ( μ β , π β ) .
Proof. 
Assume that for any ( μ α , π α ) ψ , there exists an I F B ( μ β , π β ) ψ such that ( μ α , π α ) ( μ β , π β ) . If ( E , ψ ) is not closed.
Let i 0 be a positive integer such that if r i 0 1 < t < r i 0 , then I r i 0 I t , where
I r = { C r ( μ α , π α ) | ( μ α , π α ) ψ } .
Let A be a basis of I t but not a basis of I r i 0 . Let ω ( A , t ) be the elementary I F S . Obviously, C r ( ω ( A , t ) ) = A I r for any r ( 0 , t ] , and C r ( ω ( A , t ) ) = I r for any r ( t , 1 ] . It follows that ω ( A , t ) ψ .
Suppose that ( μ β , π β ) ψ is an I F B and ω ( A , t ) ( μ β , π β ) . Then C t ( μ β , π β ) I t and A C t ( μ β , π β ) . Since A is a crisp basis of I t , A = C t ( μ β , π β ) .
Since I r i 0 I t and by Theorem 5 and Theorem 9, we have
A = C t ( μ β , π β ) = C r i 0 ( μ β , π β ) I r i 0 .
Conversely, suppose that ( E , ψ ) is closed. Let ( μ α , π α ) ψ and R + ( μ α , π α ) = { t 1 , t 2 , , t k } , where t 1 < t 2 < < t k . Let { t p 1 , t p 2 , , t p s } be a subsequence of { t 1 , t 2 , , t k } and { r q 1 , r q 2 , , r q s } be a subsequence of { r 0 , r 1 , , r n } such that t p 1 = t 1 , and for a given t p j , there is r q j = min { r i | r i t p j } , and for a given r q j there is t p j + 1 = min { t i | t i > r q j } . It follows that
(1)
t p 1 = t 1 ;
(2)
r q j 1 < t p j < r q j , j = 1 , 2 , , s ;
(3)
If t p j < t i < t p j + 1 , then r q j 1 < t i r q j ;
(4)
If t p s > t i , then r q s 1 < t i r q s .
Let A n A n 1 A 1 be a nested sequence such that
(a)
supp ( μ α , π α ) A 1 , where A 1 is a basis of ( E , I r 1 ) ;
(b)
For i 2 (where i is an integer), we have q j 1 < i < q j ( q 0 = 0 ) and A i is a maximal subset of A i 1 in I r i that contains C t p j ( μ α , π α ) ;
(c)
For q t < i n (where i is an integer), we have A is a maximal subset of A i 1 in I r i .
Let ( μ β i , π β i ) be the elementary I F S ω ( A i , r i ) , where i [ 1 , n ] . If ( μ β , π β ) = i = 1 n ( μ β i , π β i ) , then we can easily get C r ( μ β , π β ) I r , r ( 0 , 1 ] . By Theorem 6, ( μ β , π β ) ψ . From the construction of ( μ β , π β ) , ( μ α , π α ) ( μ β , π β ) ψ and ( μ β , π β ) is an I F B for ( E , ψ ) , the conclusion is established. □

4. The Judgement of an IFB for a G V IFM

From the proof of Theorem 10, we can get the following result.
Theorem 11.
Suppose that ( E , ψ ) is a closed G V I F M with the fundamental sequence 0 = r 0 < r 1 < r 2 < < r n 1 and the induced matroid sequence M r 1 M r 2 M r n , where M r i = ( E , I r i ) ( 1 i n ). Let ( μ α , π α ) I F S ( E ) . If ( μ α , π α ) is an I F B of ( E , ψ ) , then supp ( μ α , π α ) = C m ( μ α , π α ) ( μ α , π α ) is a basis of matroid ( E , I r 1 ) .
Proof. 
Suppose that m ( μ α , π α ) is an I F B of I F M . Then R + ( μ α , π α ) { r 1 , r 2 , , r n } and C r ( μ α , π α ) I r for any r R + ( μ α , π α ) .
Assume that supp ( μ α , π α ) = C m ( μ α , π α ) ( μ α , π α ) is not a basis of matroid ( E , I r 1 ) ; then there exists a basis A of ( E , I r 1 ) such that supp ( μ α , π α ) = C m ( μ α , π α ) ( μ α , π α ) A . Let
h ( μ ω ( x ) , π ω ( x ) ) = r 1 , i f x A \ C m ( μ α , π α ) ( μ α , π α ) , h ( μ α ( x ) , π α ( x ) ) , i f x C m ( μ α , π α ) ( μ α , π α ) , 0 , o t h e r w i s e .
Then ( μ α , π α ) ( μ ω , π ω ) , R + ( μ ω , π ω ) { r 1 , r 2 , , r n } and C r 1 ( μ ω , π ω ) = A I r 1 . Thus, for any r 1 < r < m ( μ α , π α ) ,
C r ( μ ω , π ω ) = C m ( μ α , π α ) ( μ α , π α ) I m ( μ α , π α ) I r ,
and for any m ( μ α , π α ) r 1 ,
C r ( μ ω , π ω ) = C r ( μ α , π α ) I r .
From Theorem 6, it follows that ( μ ω , π ω ) ψ . Since ( μ α , π α ) ( μ ω , π ω ) , it contradicts that ( μ α , π α ) is an I F B of I F M . □
The following necessary and sufficient condition can be used to judge whether a fuzzy set is a fuzzy basis.
Theorem 12
([25]). Let ( E , ψ ) be a closed G V fuzzy matroid on E and 0 = r 0 < r 1 < < r n 1 be the fundamental sequence. Let μ F S ( E ) . Suppose M r 1 M r 2 M r n is the induced matroid sequence (where M r i = ( E , I r i ) , i = 1 , 2 , , n ). Then μ is a fuzzy basis of ( E , ψ ) if and only if μ satisfies:
(i) 
A 1 =suppμ is a basis of matroid ( E , I r 1 ) .
(ii) 
There exists a sequence A 2 , , A n 1 , A n ( A i I r i ) which satisfies A i is a maximal subset of A i 1 in I r i ( i = 2 , 3 , 4 , , n ) and A 1 A 2 A n 1 A n such that for any x A n , μ ( x ) = r n and for any x A i \ A i + 1 , μ ( x ) = r i , where i = 1 , 2 , 3 , , n 1 .
This result can be extended to intuitionistic fuzzy sets.
Theorem 13.
Suppose ( E , ψ ) is a closed G V I F M with the fundamental sequence 0 = r 0 < r 1 < r 2 < < r n 1 and the induced matroid sequence M r 1 M r 2 M r n , where M r i = ( E , I r i ) ( 1 i n ). Let ( μ α , π α ) I F S ( E ) ; then ( μ α , π α ) is an I F B of ( E , ψ ) if and only if ( μ α , π α ) satisfies:
(I) 
π α ( x ) = 0 for each x E ;
(II) 
The set A 1 = s u p p ( μ α , π α ) is a crisp basis of matroid ( E , I r 1 ) ;
(III) 
There exists a sequence A 2 , , A n 1 , A n ( A i I r i ) which satisfies A i is a maximal subset of A i 1 in I r i ( i = 2 , 3 , , n ) and A 1 A 2 A n 1 A n such that for any x A n , h ( μ α ( x ) , π α ( x ) ) = r n , and for any x A i \ A i + 1 ( i = 1 , 2 , , n 1 ), h ( μ α ( x ) , π α ( x ) ) = r i .
Proof. 
By Theorem 8 and Theorem 11, we have
(I)
π α ( x ) = 0 for each x E ;
(II)
The set A 1 =supp ( μ α , π α ) is a basis of matroid ( E , I r 1 ) .
Now we just prove that (III) holds.
Let A i = C r i ( μ α , π α ) ( 2 i n ). By the hypothesis, we have C r n ( μ α , π α ) C r n 1 ( μ α , π α ) C r 2 ( μ α , π α ) C r 1 ( μ α , π α ) , That is A n A n 1 A 2 A 1 .
Next, we will prove A i is a maximal subset of A i 1 in I r i , where k + 1 i n .
Note that A 1 =supp ( μ α , π α ) is the basis of ( E , I r 1 ) .
Assume that there exists A i I r i ( 2 i n ) such that A i is not a maximal subset of A i 1 in I r i 1 . Then there is B I r i such that A i B and B is a maximal subset of A i 1 .
Let ( μ β , π β ) I F S ( E ) and π β ( x ) = 0 for each x E , and if i = 2 , let
h ( μ β ( x ) , π β ( x ) ) = r 1 , x A 1 \ B , r 2 , x B \ A 2 , h ( μ α ( x ) , π α ( x ) ) , x A 2 .
If 3 i n , let
h ( μ β ( x ) , π β ( x ) ) = r j , x A j \ A j + 1 , r i 1 , x A i 1 \ B , r i , x B \ A i , h ( μ α ( x ) , π α ( x ) ) , x A i .
where j = 1 , 2 , , i 2 . Then ( μ α , π α ) ( μ β , π β ) . Since C r i ( μ β , π β ) = B I r i , it follows that C r j ( μ β , π β ) = A j I r j , for any 1 j i 1 , and C r j ( μ β , π β ) = C r j ( μ α , π α ) I r j for any i + 1 j n . Then, by Theorem 6, ( μ β , π β ) ψ , which contradicts that ( μ α , π α ) is an I F B of ( E , ψ ) .
Conversely, from condition (II) (III), A 1 = supp ( μ α , π α ) is a crisp basis of matroid ( E , I r 1 ) , R + ( μ α , π α ) { r 1 , r 2 , , r n } and C r i ( μ α , π α ) = A i I r i for any r i R + ( μ α , π α ) ( i = 1 , 2 , , n ). It follows that ( μ α , π α ) ψ from Theorem 6. □
( μ α , π α ) is not an I F B of ( E , ψ ) . Since ( μ α , π α ) ψ and ( E , ψ ) is a closed I F M , there exists an I F B ( μ β , π β ) of ( E , ψ ) such that ( μ α , π α ) ( μ β , π β ) , so m ( μ α , π α ) m ( μ β , π β ) and supp ( μ α , π α ) supp ( μ β , π β ) .
Case 1. supp ( μ α , π α ) = supp ( μ β , π β ) . Since ( μ β , π β ) is an I F B of ( E , ψ ) , then π β ( x ) = 0 for each x E and A 1 = supp ( μ α , π α ) = supp ( μ β , π β ) is a basis of matroid ( E , I r 1 ) . As A 1 A 2 A n 1 A n and A i is a maximal subset of A i 1 , where A i I r i ( i = 2 , 3 , , n ), for any x A n , h ( μ β ( x ) , π β ( x ) ) = r n and for any x A i \ A i + 1 ( i = 1 , 2 , , n 1 ), h ( μ β ( x ) , π β ( x ) ) = r i , for any x supp ( μ α , π α ) = supp ( μ β , π β ) , we have h ( μ α ( x ) , π α ( x ) ) = h ( μ β ( x ) , π β ( x ) ) . Since π α ( x ) = π β ( x ) = 0 for each x E , H ( μ α ( x ) , π α ( x ) ) = H ( μ β ( x ) , π β ( x ) ) . It follows that ( μ α , π α ) = ( μ β , π β ) , which contradicts that ( μ α , π α ) ( μ β , π β ) , m ( μ α , π α ) m ( μ β , π β ) .
Case 2. supp ( μ α , π α ) supp ( μ β , π β ) . Since ( μ β , π β ) is an I F B of ( E , ψ ) , C m ( μ β , π β ) ( μ β , π β ) = supp ( μ β , π β ) is a basis of matroid ( E , I r 1 ) . From condition (II), C m ( μ α , π α ) ( μ α , π α ) = supp ( μ α , π α ) is also a basis of matroid ( E , I r 1 ) . Then supp ( μ α , π α ) = supp ( μ β , π β ) , which is in contradiction with supp ( μ α , π α ) supp ( μ β , π β ) .
Therefore, ( μ α , π α ) is an I F B of ( E , ψ ) .
The following corollary is obvious.
Corollary 1.
Suppose ( E , ψ ) is a closed G V I F M with the fundamental sequence 0 = r 0 < r 1 < r 2 < < r n 1 and the induced matroid sequence M r 1 M r 2 M r n , where M r i = ( E , I r i ) ( 1 i n ). Let ( μ α , 0 ) I F S ( E ) . Then ( μ α , 0 ) is an I F B of ( E , ψ ) if and only if the I F S ( μ α , 0 ) satisfies:
(1) 
A 1 is a crisp basis of ( E , I r 1 ) , where A 1 = s u p p ( μ α , 0 ) .
(2) 
There exist A 2 , , A n 1 , A n ( A i I r i ) which satisfy A 1 A 2 A n 1 A n and A i is a maximal subset of A i 1 ( i = 2 , 3 , , n ) such that h ( μ α ( x ) , 0 ) = μ α ( x ) = r n for any x A n , and h ( μ α ( x ) , 0 ) = μ α ( x ) = r i for any x A i \ A i + 1 , i = 1 , 2 , , n 1 .
Theorem 14.
Let E be a finite set. Suppose that there is the same fundamental sequence 0 = r 0 < r 1 < r 2 < < r n 1 and the same induced matroid sequence M r 1 M r 2 M r n for G V fuzzy matroid ( E , ψ ¯ ) and G V I F M ( E , ψ ) , where M r i = ( E , I r i ) ( i = 1 , 2 , , n 1 ). Then μ α F S ( E ) is a fuzzy basis of F M = ( E , ψ ¯ ) if and only if ( μ α , 0 ) I F S ( E ) is an I F B of ( E , ψ ) .
Proof. 
By the hypothesis and Theorem 12, we have μ α is a fuzzy basis of ( E , ψ ¯ ) if and only if the fuzzy set μ α satisfies:
(1)
A 1 is a basis of ( E , I r 1 ) , where A 1 =supp μ α .
(2)
There exist A 2 , , A n 1 , A n which satisfy A i is a maximal subset of A i 1 ( i = 2 , 3 , , n ) and A 1 A 2 A n 1 A n such that for any x A n , μ α ( x ) = r n , and for any x A i \ A i + 1 ( i = 1 , 2 , , n 1 ) , μ α ( x ) = r i .
These two conditions hold if and only if ( μ α , 0 ) satisfies:
(1)
A 1 = s u p p ( μ α , 0 ) is a crisp basis of matroid ( E , I r 1 ) .
(2)
For the above A i , i = 1 , 2 , , n , we have for any x A n , h ( μ α ( x ) , 0 ) = μ α ( x ) = r n , and for any x A i \ A i + 1 ( i = 1 , 2 , , n 1 ) , h ( μ α ( x ) , 0 ) = μ α ( x ) = r i .

5. A Tree Structure of a Closed G V IFM

From Theorem 13, a tree structure of a closed G V I F M is proposed below, which is similar to the tree structure introduced in [25].
Let ( E , ψ ) be a closed G V I F M on E, 0 = r 0 < r 1 < r 2 < < r n 1 be the fundamental sequence and M r 1 M r 2 M r n be the I F M -induced matroid sequence (where M r i = ( E , I r i ) ( 1 i n )). Suppose that ( μ α , π α ) is an I F B of ( E , ψ ) and B 1 = supp ( μ α , π α ) is a crisp basis of matroid ( E , I r 1 ) . Then, from Theorem 13, there exists a sequence B 2 , 1 , , B n 1 , 1 , B n , 1 ( B i , 1 I r i , i = 2 , 3 , , n ) such that B i , 1 is a maximal subset of B i 1 , 1 ( i = 2 , 3 , , n ) in I r i and B 1 B 2 , 1 B n 1 , 1 B n , 1 . Obviously, C r i ( μ α , π α ) = B i , 1 , i = 1 , 2 , , n . The number of the sequence B 1 , B 2 , 1 , , B n 1 , 1 , B n , 1 is determined by the number of the maximal subsets of the previous maximal subset in the next level based on the same I F B ( μ α , π α ) . Obviously, each of the sequence can be constructed a brunch of a tree. All the sequences of the same I F B ( μ α , π α ) can be constructed a tree. Since there are many I F B s , there are many trees which become a forest. The forest is called a tree structure of the closed G V I F M ( E , ψ ) (Figure 1).
Definition 12.
The set of trees constructed by the sequences in Theorem 13 is the tree structure of a closed G V I F M ( E , ψ ) , denoted by T ( E , ψ ) (T for short) (Figure 1), which is defined below.
Remark 1.
There is one branch corresponding to a leaf in T and vice versa. From Theorem 13 and the construction of T, a branch of T and an I F B of ( E , ψ ) are one-to-one corresponding. Thus, for ( E , ψ ) , the number of the I F B is equal to the number of leaves ( B n , j ) of T.
Example 1.
Let E = { a , b , c } , I 1 = { , { a } , { b } } , I 1 / 3 = { , { a } , { b } , { c } , { a , b } , { a , c } } , I 1 / 5 = { , { a } , { b } , { c } , { a , b } , { a , c } , { b , c } } . Then ( E , I 1 ) , ( E , I 1 / 3 ) and ( E , I 1 / 5 ) are all matroids, and I 1 / 5 , I 1 / 3 , I 1 . Let
I r = I 1 / 5 , 0 < r 1 5 , I 1 / 3 , 1 5 < r 1 3 , I 1 , 1 3 < r 1 .
and let ψ = { ( μ α , π α ) I F S ( E ) | C r ( μ α , π α ) I r } , where r ( 0 , 1 ] . From Definition 2.16, ( E , ψ ) is a closed G V I F M . The tree structure T is shown in Figure 2.
From Figure 2, there are three trees and five leaves in T. By Remark 1, there are five I F B s of ( E , ψ ) , which are as follows:
( μ α 1 ( x ) , π α 1 ( x ) ) = ( 1 , 0 ) , x = a , ( 1 3 , 0 ) , x = b , ( 0 , 0 ) , x = c .
( μ α 2 ( x ) , π α 2 ( x ) ) = ( 1 3 , 0 ) , x = a , ( 1 , 0 ) , x = b , ( 0 , 0 ) , x = c .
( μ α 3 ( x ) , π α 3 ( x ) ) = ( 1 , 0 ) , x = a , ( 0 , 0 ) , x = b , ( 1 3 , 0 ) , x = c .
( μ α 4 ( x ) , π α 4 ( x ) ) = ( 0 , 0 ) , x = a , ( 1 , 0 ) , x = b , ( 1 5 , 0 ) , x = c .
( μ α 5 ( x ) , π α 5 ( x ) ) = ( 0 , 0 ) , x = a , ( 1 5 , 0 ) , x = b , ( 1 3 , 0 ) , x = c .
Then the values of the similarity function h for the five I F B s are below:
h ( μ α 1 ( x ) , π α 1 ( x ) ) = 1 , x = a , 1 3 , x = b , 0 , x = c .
h ( μ α 2 ( x ) , π α 2 ( x ) ) = 1 3 , x = a , 1 , x = b , 0 , x = c .
h ( μ α 3 ( x ) , π α 3 ( x ) ) = 1 , x = a , 0 , x = b , 1 3 , x = c .
h ( μ α 4 ( x ) , π α 4 ( x ) ) = 0 , x = a , 1 , x = b , 1 5 , x = c .
h ( μ α 5 ( x ) , π α 5 ( x ) ) = 0 , x = a , 1 5 , x = b , 1 3 , x = c .
Next, we discuss the properties of T for ( E , ψ ) .
Theorem 15.
Let ( E , ψ ) be a closed G V I F M on E, 0 = r 0 < r 1 < < r n 1 be the fundamental sequence and M r 1 M r 2 M r n (where M r i = ( E , I r i ) ( 1 i n )) be the induced matroid sequence. Let T be the tree structure of ( E , ψ ) . Then each basis B i k i of the induced matroid ( E , I r i ) ( i = 1 , 2 , , n . k i is a positive integer) is in r i level of T.
Proof. 
For any i( i = 1 , 2 , , n ), if i = 1 , since each basis B 1 k 1 of matriod M r 1 = ( E , I r 1 ) is the root of each tree in T, B 1 k 1 is in r 1 level.
If i 1 ( i = 2 , 3 , , n ), for any basis B i k i of matroid M r i = ( E , I r i ) —since ( E , I r i ) ( E , I r i 1 ) , it follows that B i k i I r i 1 —then there exists a basis B i 1 k i 1 of ( E , I r i 1 ) such that B i k i B i 1 k i 1 . Obviously, B i k i is a maximal subset of B i 1 k i 1 in I r i . It implies that B i k i is in r i level of T.
Note that the converse of Theorem 15 does not hold. In Example 1, { a , b } , { a , c } are both the bases of matroid ( E , I 1 / 3 ) in the second level, but { b } , { c } are not the bases. □
Theorem 16.
Let ( E , ψ ) be a closed G V I F M on E, 0 = r 0 < r 1 < < r n 1 be the fundamental sequence and M r 1 M r 2 M r n (where M r i = ( E , I r i ) ( 1 i n )) be the induced matroid sequence. Let T be the tree structure of ( E , ψ ) . Suppose that B i is the collection of the sets in r i level of T, where i = 1 , 2 , , n . Let J r i = { X X B , B B i } . Then J r i = I r i .
Proof. 
For any Y I r i , by the hypothesis, there is a basis B of matroid ( E , I r i ) such that Y B . By Theorem 15, all bases of ( E , I r i ) are in r i level T, where i = 1 , 2 , , n . Then B B i . It implies that Y { X | X B , B B i } = J r i . Thus, I r i J r i .
On the other hand, for any Y J r i , there exists a set B B i in r i ( i = 1 , 2 , , n ) level of T such that Y B . By Theorem 13, B I r i , Y I r i . That implies that J r i I r i .
Therefore, J r i = I r i . □
Remark 2.
Let ( E , ψ ) be a closed G V I F M on E and T be its tree structure. Suppose that B i is the collection of the maximal subsets in r i level of T. Then the bases of M r i = ( E , I r i ) ( i = 1 , 2 , , n ) belong to B i .
Theorem 17.
Let ( E , ψ ) be a closed G V I F M on E and T be its tree structure. Suppose that the sequence B 1 , B 2 , , B n ( B i is in i t h level) of T satisfying B n and B 1 B 2 B n . For any x B n , let ( μ α , π α ) I F S ( E ) and k n = h ( μ α ( x ) , π α ( x ) ) and for any x B i \ B i + 1 ( i = 1 , 2 , , n 1 ), let k i = h ( μ α ( x ) , π α ( x ) ) . Then 0 = k 0 , k 1 , k 2 , , k n is the fundamental sequence of ( E , ψ ) .
Proof. 
Let 0 = r 0 < r 1 < r 2 < < r n 1 be the fundamental sequence of ( E , ψ ) . By the hypothesis and Theorem 13, ( μ α , π α ) is a fuzzy basis of ( E , ψ ) . Thus R + ( μ α , π α ) { r 1 , r 2 , , r n } . Suppose that a sequence B 1 , B 2 , , B n satisfies B n and B 1 B 2 B n . It follows that B i \ B i + 1 ( i = 1 , 2 , , n 1 ). Then k i = h ( μ α , π α ) 0 for any i ( i = 1 , 2 , , n 1 ) and R + ( μ α , π α ) = { k 1 , k 2 , , k n } . Thus { k 1 , k 2 , , k n } { r 1 , r 2 , , r n } . That implies that { k 1 , k 2 , , k n } = { r 1 , r 2 , , r n } .
Therefore, k 0 , k 1 , k 2 , , k n is the fundamental sequence of ( E , ψ ) . □

6. Conclusions

In this paper, the I F B of G V I F M s was defined by using the related concept of G V fuzzy matroids. Some conclusions of G V fuzzy matroids have been extended to G V I F M s . Especially, the judgement of an I F B was presented and proven, and the tree structure of closed G V I F M s and its properties were discussed. We will discuss another important concept and its properties of G V I F M s –intuitionistic fuzzy circuits in a subsequent article.

Author Contributions

Methodology, Y.L.; investigation, L.L. and H.D.; writing—original draft preparation, J.L.; writing—review and editing, Y.L. and D.Q. All authors have read and agreed to the published version of the manuscript.

Funding

This research funded by the National Natural Science Foundation of China (grant numbers 11671001 and 61876201), the Science and Technology Project of Chongqing Municipal Education Committee (KJQN201800624) of China and the Project of Humanities and Social Sciences planning fund of Ministry of Education (18YJA630022) of China.

Acknowledgments

The authors are grateful to the Chongqing Municipal Education Committee and the Ministry of Education of China for their support and would like to thank the editors and the anonymous reviewers for their valuable comments and suggestions.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
G V fuzzy matroid or G V F M Fuzzy matroid proposed by Goetschel and Voxman
I F M Intuitionistic fuzzy matroid
I F B Intuitionistic fuzzy basis
F S Fuzzy set
I F S Intuitionistic fuzzy set

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Figure 1. The tree structure of a closed G-V I F M .
Figure 1. The tree structure of a closed G-V I F M .
Mathematics 08 01392 g001
Figure 2. The tree structure of Example 5.3.
Figure 2. The tree structure of Example 5.3.
Mathematics 08 01392 g002

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Li, Y.; Li, L.; Li, J.; Qiu, D.; Duan, H. Bases of G-V Intuitionistic Fuzzy Matroids. Mathematics 2020, 8, 1392. https://doi.org/10.3390/math8091392

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Li Y, Li L, Li J, Qiu D, Duan H. Bases of G-V Intuitionistic Fuzzy Matroids. Mathematics. 2020; 8(9):1392. https://doi.org/10.3390/math8091392

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Li, Yonghong, Li Li, Jiang Li, Dong Qiu, and Huiming Duan. 2020. "Bases of G-V Intuitionistic Fuzzy Matroids" Mathematics 8, no. 9: 1392. https://doi.org/10.3390/math8091392

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