Abstract
Cubic sets are the very useful generalization of fuzzy sets where one is allowed to extend the output through a subinterval of and a number from . Generalized cubic sets generalized the cubic sets with the help of cubic point. On the other hand Soft sets were proved to be very effective tool for handling imprecision. Semigroups are the associative structures have many applications in the theory of Automata. In this paper we blend the idea of cubic sets, generalized cubic sets and semigroups with the soft sets in order to develop a generalized approach namely generalized cubic soft sets in semigroups. As the ideal theory play a fundamental role in algebraic structures through this we can make a quotient structures. So we apply the idea of neutrosophic cubic soft sets in a very particular class of semigroups namely weakly regular semigroups and characterize it through different types of ideals. By using generalized cubic soft sets we define different types of generalized cubic soft ideals in semigroups through three different ways. We discuss a relationship between the generalized cubic soft ideals and characteristic functions and cubic level sets after providing some basic operations. We discuss two different lattice structures in semigroups and show that in the case when a semigroup is regular both structures coincides with each other. We characterize right weakly regular semigroups using different types of generalized cubic soft ideals. In this characterization we use some classical results as without them we cannot prove the inter relationship between a weakly regular semigroups and generalized cubic soft ideals. This generalization leads us to a new research direction in algebraic structures and in decision making theory.
1. Introduction
To handle uncertainty in many real world problems the existing methods are not sufficient. To reduce these uncertainties, a few sorts of speculations were presented like hypothesis of fuzzy sets [1], intuitionistic fuzzy sets [2] and rough sets [3]. These sets have some limitations so Molodtsov [4] initiated the new approach namely soft sets which is a new theory and has the ability to capture the uncertainty in a better way. After this many researchers used the idea of soft sets in many directions, such as Maji et al. [5], Maji et al. [6], Aktas and Cagman [7], and Jun et al. [8,9]. Maji et al. [10] initiated the study of fuzzy soft sets. After this many researcher used fuzzy soft sets such as, Roy et al. [11], Yang [12] and Kharal et al. [13]. Zhou et al. developed the idea of intutionistic fuzzy soft sets which extend the idea of fuzzy soft sets [14].
Another general version of fuzzy sets and intutionistic fuzzy sets was presented by Jun et al. [15] namely the cubic sets. After that jun et al. [16,17,18,19] applied cubic sets in different directions such as in BCK/BCI-algebras. Since then cubic sets were actively being used in many areas such as Akram et al. [20], in KU-subalgebras, Aslam et al. [21], in -semihypergroups, Gulistan et al. [22], in weak left almost semihypergroups, Gulistan et al. [23], in regular LA-semihypergroups, Khan et al. [24], in LA-semihypergroups, Ma et al. [25], in H-LA-semihypergroups, Yaqoob et al. [26], on cubic KU-ideals of KU-algebras, Yaqoob et al. [27], in cubic hyperideals in LA-semihypergroups. Khan et al. [28] presented the idea of the generalized version of Jun’s cubic sets in semigroups and several others like, Abughazalah and Yaqoob [29], Rashid et al. [30].
Recently, Yin and Zhan [31] introduced more general forms of -fuzzy filters and define -fuzzy filters and gave some interesting results in terms of these notions. See also [32,33,34].
On the other hand semigroups are the very useful associative algebraic structures which has many application in different directions. A very particular class of semigroups namely right weakly regular semigroups was discussed by Feng et al. [35] and Khan et al. in [36]. A valuable application of the group of symmetries can be see in network fibres by Mallat [37] in 2016.
Since we see that the idea of fuzzy soft sets and intutionistic fuzzy soft sets generalize the concept of soft sets so its natural to blend generalized cubic sets presented by Khan et al. in [28] with Molodtsov’s [4] soft sets and apply on the right weakly regular semigroups studied by Feng et al. [35] and Khan et al. [36]. Thus we initiate the study of special types of cubic soft ideals in semigroups with some interesting properties. We discuss some lattice structures formed by generalized cubic soft ideals of semigroups. We also provide an application of the current proposal and conclusion is given at the end.
2. Preliminaries
A semigroup S is called a right weakly regular if for every there exist such that To begin with the main section, we first give the following characterization results of right weakly regular semigroups by the properties of their ideals from the paper [35,36].
Theorem 1.
[35,36] For the semigroup S the following are equivalent;
- (i)
- S is right weakly regular.
- (ii)
- , where R is right ideal and I is interior ideal of S.
Theorem 2.
[35,36] For the semigroup S the following are equivalent;
- (i)
- S is right weakly regular.
- (ii)
- , where B is bi-ideal and I is interior ideal of S.
Theorem 3.
[35,36] For a semigroup S the following are equivalent;
- (i)
- S is right weakly regular.
- (ii)
- for every right ideal bi-ideal B and interior ideal I of a semigroup S.
Definition 1.
[4,5] Let U be an initial universe, E be the sets of parameters, be the power set of U and , then the soft set over U is the function defined by, such that if where ϕ denote the empty set. Here is called approximate function. A soft set over U can be represented by the ordered pairs
It shows that a soft set is a parameterized family of subsets of the set U.
Definition 2.
Jun et al. [15], Cubic set on a non-empty set X is an object of the form:
which is briefly denoted by with the functions and .
More detail about the soft sets, cubic sets and semigroups can be seen in [4,5,15,35,36].
3. Cubic Soft Sets
In this section, we introduce the concepts of cubic soft sets, cubic soft ideals and some basic operations on cubic sets.
Definition 3.
A pair is called a cubic soft set over S, where and is a mapping given by where denotes the set of all cubic sets of S and E be a set of parameters.
In general, for every is a cubic set in S and it is called cubic value set of parameter
Definition 4.
A cubic soft set is contained in other cubic soft set if and for every
Equivalently if and , for all
Definition 5.
Let and be two cubic soft sets over S. Then where for all that is
for all
Definition 6.
Let and be two cubic soft sets over S. Then where for all that is
for all
Definition 7.
Let and be two cubic soft sets over S. Then where and for all
and
Definition 8.
Let and be two cubic soft sets over S. Then where and for all
and
Definition 9.
Let and be two cubic soft sets over S. Then where and for all
and
4. Generalized Cubic Soft Ideals of Semigroups
This section is dedicated to the concept of -cubic soft subsemigroup, -cubic soft ideals and their basic properties. Note that and
Definition 10.
Let and such that and Then by cubic point we mean where
For any cubic set and for a cubic point with the condition that such that we have
- (i)
- if and
- (ii)
- if and
- (iii)
- if or
Definition 11.
A cubic soft set of S is called an -cubic soft subsemigroup of if is an -cubic subsemigroup of
Equivalently;
A cubic soft set of S is called an -cubic soft subsemigroup of if
Equivalently;
A cubic soft set of S is called an -cubic soft subsemigroup of if
implies that
where and such that , and such that
Example 1.
Let and the binary operation “·” be defined on S as follows:
Then is a semigroup. Let and Let be the set of parameters. For each parameter is an -cubic subsemigroup of where is a mapping given by Then for each parameter we define
and
Hence is an -cubic soft subsemigroup of
Definition 12.
A cubic soft set of S is called an -cubic soft left ideal of if is an -cubic left ideal of
Equivalently;
A cubic soft set of S is called an -cubic soft left ideal of if
Equivalently;
A cubic soft set of S is called an -cubic soft left ideal of if and implies that where and such that , and such that
Definition 13.
A cubic soft set of S is called an -cubic soft right ideal of if is an -cubic right ideal of
Equivalently;
A cubic soft set of S is called an -cubic soft right ideal of if
Equivalently;
A cubic soft set of S is called an -cubic soft right ideal of if and implies that where such that and such that
Definition 14.
A cubic soft set of S is called an -cubic soft ideal of if is an -cubic ideal of
Equivalently;
A cubic soft set of S is called an -cubic soft ideal of if
Equivalently;
A cubic soft set of S is called an -cubic soft ideal of if and implies that and , where such that , and such that
Definition 15.
A cubic soft set of S is called an -cubic soft bi ideal of if is an -cubic bi ideal of
Equivalently;
A cubic soft set of S is called an -cubic soft bi ideal of if
Equivalently;
A cubic soft set of S is called an -cubic soft bi ideal of if is an -cubic soft subsemigroup of S, and implies that , where such that , and such that
Definition 16.
A cubic soft set of S is called an -cubic soft generalized bi ideal of if is an -cubic generalized bi ideal of
Equivalently;
A cubic soft set of S is called an -cubic soft generalized bi ideal of if
Equivalently;
A cubic soft set of S is called an -cubic soft generalized bi ideal of if and implies that , where such that , and such that
Definition 17.
A cubic soft set of S is called an -cubic soft interior ideal of if is an -cubic interior ideal of
Equivalently;
A cubic soft set of S is called an -cubic soft interior ideal of if
Equivalently;
A cubic soft set of S is called an -cubic soft interior ideal of if is an -cubic soft subsemigroup of S, and implies that , where such that , and such that
Definition 18.
Let and be two cubic soft sets over S. We say that is an -cubic soft subset of and write if
for each
Theorem 4.
Let and be two -cubic soft subsemigroups of Then
- (i)
- is an -cubic soft subsemigroup of S.
- (ii)
- is an -cubic soft subsemigroup of S.
- (iii)
- is an -cubic soft subsemigroup of
- (iv)
- is an -cubic soft subsemigroup of
- (v)
- is an -cubic soft subsemigroup of
Proof.
Let and be two -cubic soft subsemigroups of S. Let where and for all We consider the following cases.
Case 1: If then
and
Case 2: Similar to case 1.
Case 3: Let and consider
On the other hand consider
Hence is an -cubic soft subsemigroup of S.
Let and be two -cubic soft subsemigroup of Let We consider the following cases.
Case 1: If then
and
Case 2: Similar to case 1.
Case 3: Let and consider
On the other hand consider
Let and be two -cubic soft subsemigroup of S and let where and for all that is
for all Since and are -cubic subsemigroup of so by part (i) is an -cubic subsemigroup of S for all Hence is an -cubic soft subsemigroup of
Let and be two -cubic soft subsemigroup of S and let where for all that is
for all Since and are -cubic subsemigroup of so by part (ii) is an -cubic subsemigroup of S for all Hence is an -cubic soft subsemigroup of
Let and be two -cubic soft subsemigroup of and let where and for all We consider the following cases.
Case 1: If then
and
Case 2: Similar to case one.
Case 3: Let and consider
and
Hence is an -cubic soft subsemigroup of □
Theorem 5.
Let and be two -cubic soft (resp., left, right, bi, interior, generalized bi) ideals of then
- (i)
- is an -cubic soft (resp., left, right, bi, interior, generalized bi) ideal of S.
- (ii)
- is an -cubic (resp., left, right, bi, interior, generalized bi) ideal of S.
- (iii)
- is an -cubic (resp., left, right, bi, interior, generalized bi) ideal of
- (iv)
- is an -cubic (resp., left, right, bi, interior, generalized bi) ideal of
- (v)
- is an -cubic (resp., left, right, bi, interior, generalized bi) ideal of
Proof.
It follows from the proof of Theorem 4. □
Theorem 6.
Let be a-cubic soft set of Then is an -cubic soft subsemigroup (resp., left, right, bi, interior, generalized bi) ideal of S if and only if
is soft subsemigroup (resp., left, right, bi, interior, generalized bi) ideal of
Proof.
Let be an -cubic soft subsemigroup of S. Let , such that and let This implies
Now by hypothesis
This implies that On the other hand again using the hypothesis
This implies that Thus we get
which implies that Hence is a soft subsemigroup of Conversely let is a soft subsemigroup of Suppose there exist , with
such that
and
This implies that which is contradiction. So
and
Hence is an -cubic soft subsemigroup of S. □
Lemma 1.
Let then A is a subsemigroup (resp., left, right, bi, interior, generalized bi) ideal of S if and only if cubic characteristic function of is an -cubic soft subsemigroup (resp., left, right, bi, interior, generalized bi) ideal of S, where such that , and such that
Proof.
Straightforward.
where set of all cubic soft ideals of S is denoted by □
Theorem 7.
forms the lattice structure, where is the set of all cubic soft ideals of
Proof.
It is obvious that is an ordered relation. Let , then by Theorem 5 It is clear that is the least upper bound and is the greatest lower bound of any two arbitrary elements of Hence the set of becomes a lattice. □
Theorem 8.
Let S be a semigroup with identity e such that and Then forms the lattice structure.
Proof.
It is obvious that is an ordered relation. Let , then by Theorem 5 It is clear that is the greatest lower bound of any two arbitrary elements of Now we will show that is the least upper bound of any two arbitrary elements of For this let and
Case1: If then
Case2: If then
Case3: If then
and
and so
Similarly
Let be any other element of such that
then
Hence least upper bound of , is Hence the forms the lattice structure. □
Remark 1.
In the case when the semigroup S is regular Theorems 7 and 8 concide with each other.
5. Characterizations of Right Weakly Regular Semigroups in Terms of Generalized Cubic Soft Ideals
Based on the useful results obtained above taken from the paper [36], we now characterize right weakly regular semigroups by the properties of their -cubic soft ideals, -cubic soft (generalized) bi-ideals and -cubic soft interior ideals.
Theorem 9.
For a semigroup S the following conditions are equivalent.
- (i)
- S is right weakly regular.
- (ii)
- for all -cubic soft right ideal and -cubic soft interior ideal of S.
Proof.
Let and be -cubic soft right ideal and -cubic interior ideal of S. Here we discuss three different cases.
Case 1: . Then and .
Case 2: . Then and .
Case 3: . Then
and
Now we show that and . Since S is right weakly regular, then for each there exist such that , so we have
so On the other hand
hence Thus for all -cubic soft right ideal and -cubic soft interior ideal of S.
Let for all -cubic soft right ideal and -cubic soft interior ideal of S. Assume that and are right and interior ideals of then by Lemma 1, and are -cubic soft right ideal and -cubic soft interior ideal of S. So by hypothesis we have
Hence
Thus Hence S is right weakly regular by Theorem 1. □
Theorem 10.
For a semigroup S the following conditions are equivalent.
- (i)
- S is right weakly regular.
- (ii)
- for all -cubic soft bi ideal and -cubic soft interior ideal of S.
Proof.
Straightforward. □
Theorem 11.
For a semigroup S, the following conditions are equivalent.
- (i)
- S is right weakly regular.
- (ii)
- for all -cubic soft right ideal -cubic soft bi-ideal and -cubic soft interior ideal of S.
- (iii)
- for all -cubic soft right ideal -cubic soft generalized bi-ideal and -cubic soft interior ideal of S.
Proof.
Let and be any -cubic right ideal, -cubic generalized bi-ideal and -cubic interior ideal of S. Here we discuss different cases.
Case 1: . Then and .
Case 2: . Then and .
Case 3: . Then and .
Case 4: . Then
and
Now we show that
and
Since S is right weakly regular therefore for each there exists such that
So we have
so On the other hand consider
Thus Hence for all -cubic soft right ideal -cubic soft generalized bi-ideal and -cubic soft interior ideal of S.
is obvious.
Let for all -cubic soft right ideal -cubic soft generalized bi-ideal and -cubic soft interior ideal of S. Assume that , and are right, generalized bi and interior ideals of S respectively, then by Lemma 1, , and are -cubic soft right ideal and -cubic soft generalized ideal and -cubic soft interior ideal of S. So by hypothesis we have
Hence
Thus
Hence S is right weakly regular by Theorem 3. □
6. Application
In the following we provide some applications of generalized cubic soft sets.
As for as the applications of generalized cubic soft sets are concern, one can find its applications in the following directions:
- In algebra where one can use generalized cubic soft sets in different directions, as we used in the right weakly regular semigroups.
- In decision making theory where one can have more reliable decision as compared to the previously defined version of fuzzy sets.
- In practical applications by using algebraic structures and decision making theory with the use of generalized cubic soft sets.
We provide an application of generalized cubic soft sets as mention in the point 3.
To compare two generalized cubic soft sets values we define score function as follows:
Definition 19.
Let be a cubic soft of S, we define score function as
where.
Example 2.
Consider a group of colleges consisting of three college namely Let a binary operation on S with the following Cayley table,
(S, ∗) is a weakly regular semigroup. Define a generalized cubic soft setin S by the following table
based on the parameters given in the set A like student strength. Further denotes the membership of a college (u, v, w) for future and denotes membership of a college (u, v, w) in the present time in the group S based on the parameters student strength. The panel imposes some extra conditions on the colleges as;
It is obvious that is a -cubic subsemigroup of S. Now in order to find that which college plays a dominant role in the group, we use the score function given in Definition 19, and we get
Thus according to score function, we have w > u > v.
This means that the college w is the best of all in a certain district under the parameters students’ strength. We may consider other parameters like teaching faculty, available facilities, labs and libraries etc. Finally we conclude that the college w should be considered as a cluster college for all the other colleges under consideration. The main advantage of the cluster college is that it can handle many problems at the district level like teacher’s transfer etc. The cluster college will provide every kind of information and recommendations to the higher authorities of the province under his domain. Favoritism is the main disadvantage of the cluster system, which cannot be overcome through our presented model. A neutral penal of experts may help such a deficiency.
7. Conclusions
In this paper we introduced the concept of generalized cubic soft sets which is the most general approach and characterize the right weakly regular semigroups in terms of generalized cubic soft ideals. This paper generalizes the idea of Feng et al. [35] and Khan et al. [36]. Since semigroups has the applications in the theory of automata so the technique of generalized cubic soft sets will be very beneficial. To help better understanding of our work Interdependence of various concepts is shown in Figure 1.
Figure 1.
Interdependence of concepts.
In future we are aiming to use generalized cubic soft sets in decision making theory, automata theory and in signal processing. We found a very valuable application of the group of symmetries in [37], where author shows that "network fibres combine invariances along groups of symmetries and distributed pattern representations, which could be sufficiently stable to explain transfer learning of deep networks". In future we are aiming to find applications of generalized cubic soft sets with semigroups by extending the idea presented by Mallat [37] in 2016.
Author Contributions
All authors contributed equally.
Funding
This work was partially supported by National Natural Science Foundation of China (Program No. 51875457), Natural Science Basic Research Plan in Shaanxi Province of China (Program No. 2018JM1054) and Scientific Research Program Funded by Shaanxi Provincial Education Department of China (Program No. 16JK1696).
Conflicts of Interest
The authors declare no conflict of interest.
References
- Zadeh, L.A. Fuzzy sets. Inf. Control 1965, 2, 338–353. [Google Scholar] [CrossRef]
- Atanassov, K. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986, 2, 87–96. [Google Scholar] [CrossRef]
- Pawlak, Z. Rough sets. Int. J. Comput. Inf. Sci. 1982, 2, 341–356. [Google Scholar] [CrossRef]
- Molodtsov, D.A. Soft set theory-first results. Comput. Math. Appl. 1999, 37, 19–31. [Google Scholar] [CrossRef]
- Maji, P.K.; Roy, A.R. Soft set theory. Comput. Math. Appl. 2003, 45, 555–562. [Google Scholar] [CrossRef]
- Maji, P.K.; Roy, A.R.; Biswas, R. An application of soft sets in a decision making problem. Comput. Math. Appl. 2002, 44, 1077–1083. [Google Scholar] [CrossRef]
- Aktas, H.; Cagman, N. Soft sets and soft groups. Inform. Sci. 2007, 177, 2726–2735. [Google Scholar] [CrossRef]
- Jun, Y.B. Soft BCK/BCI-algebras. Comput. Math. Appl. 2008, 56, 1408–1413. [Google Scholar] [CrossRef]
- Jun, Y.B.; Park, C.H. Applications of soft sets in ideal theory of BCK/BCI-algebras. Inform. Sci. 2008, 178, 2466–2475. [Google Scholar] [CrossRef]
- Maji, P.K.; Biswas, R.; Roy, A.R. Fuzzy soft sets. J. Fuzzy Math. 2001, 9, 589–602. [Google Scholar]
- Roy, A.R.; Maji, P.K. A fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math. 2007, 203, 412–418. [Google Scholar] [CrossRef]
- Yang, C.F. Fuzzy soft semigroups and fuzzy soft ideals. Comput. Math. Appl. 2011, 61, 255–261. [Google Scholar] [CrossRef]
- Kharal, A.; Ahmad, B. Mappings on fuzzy soft classes. Adv. Fuzzy Syst. 2009, 6, 407890. [Google Scholar] [CrossRef]
- Zhou, J.; Li, Y.; Yin, Y. Intuitionistic fuzzy soft semigroups. Math. Aeterna 2011, 1, 173–183. [Google Scholar]
- Jun, Y.B.; Kim, C.S.; Yang, K.O. Cubic Sets. Ann. Fuzzy Math. Inform. 2012, 4, 83–98. [Google Scholar]
- Jun, Y.B.; Kim, C.S.; Kang, M.S. Cubic subalgebras and ideals of BCK/BCI-algebras. Far East. J. Math. Sci. 2010, 44, 239–250. [Google Scholar]
- Jun, Y.B.; Lee, K.J.; Kang, M.S. Cubic structures applied to ideals of BCI-algebras. Comput. Math. Appl. 2011, 62, 3334–3342. [Google Scholar] [CrossRef]
- Jun, Y.B.; Kim, C.S.; Kang, J.G. Cubic q-ideals of BCI-algebras. Ann. Fuzzy Math. Inform. 2011, 1, 25–34. [Google Scholar]
- Jun, Y.B.; Jung, S.T.; Kim, M.S. Cubic subgroups. Ann. Fuzzy Math. Inform. 2011, 2, 9–15. [Google Scholar]
- Akram, M.; Yaqoob, N.; Gulistan, M. Cubic KU-subalgebras. Int. J. Pure Appl. Math. 2013, 89, 659–665. [Google Scholar] [CrossRef]
- Aslam, M.; Aroob, T.; Yaqoob, N. On cubic Γ-hyperideals in left almost Γ-semihypergroups. Ann. Fuzzy Math. Inform. 2013, 5, 169–182. [Google Scholar]
- Gulistan, M.; Yaqoob, N.; Vougiouklis, T.; Wahab, H.A. Extensions of cubic ideals in weak left almost semihypergroups. J. Intell. Fuzzy Syst. 2018, 34, 4161–4172. [Google Scholar] [CrossRef]
- Gulistan, M.; Khan, M.; Yaqoob, N.; Shahzad, M. Structural properties of cubic sets in regular LA-semihypergroups. Fuzzy Inform. Engineer. 2017, 9, 93–116. [Google Scholar] [CrossRef]
- Khan, M.; Gulistan, M.; Yaqoob, N.; Hussain, F. General cubic hyperideals of LA-semihypergroups. Afrika Matematika 2016, 27, 731–751. [Google Scholar] [CrossRef]
- Ma, X.L.; Zhan, J.; Khan, M.; Gulistan, M.; Yaqoob, N. Generalized cubic relations in Hv-LA-semigroups. J. Discret. Math. Sci. Cryptogr. 2018, 21, 607–630. [Google Scholar] [CrossRef]
- Yaqoob, N.; Mostafa, S.M.; Ansari, M.A. On cubic KU-ideals of KU-algebras. ISRN Algebra 2013, 2013, 935905. [Google Scholar] [CrossRef]
- Yaqoob, N.; Gulistan, M.; Leoreanu-Fotea, V.; Hila, K. Cubic hyperideals in LA-semihypergroups. J. Intell. Fuzzy Syst. 2018, 34, 2707–2721. [Google Scholar] [CrossRef]
- Khan, M.; Jun, Y.B.; Gulistan, M.; Yaqoob, N. The generalized version of Jun’s cubic sets in semigroups. J. Intell. Fuzzy Syst. 2015, 28, 947–960. [Google Scholar]
- Abughazalah, N.; Yaqoob, N. Applications of cubic structures to subsystems of finite state machines. Symmetry 2018, 10, 598. [Google Scholar] [CrossRef]
- Rashid, S.; Yaqoob, N.; Akram, M.; Gulistan, M. Cubic graphs with application. Int. J. Anal. Appl. 2018, 16, 733–750. [Google Scholar]
- Yin, Y.Q.; Zhan, J. Characterization of ordered semigroups in terms of fuzzy soft ideals. Bull. Malays. Math. Sci. Soc. 2012, 2, 997–1015. [Google Scholar]
- Jun, Y.B.; Muhiuddin, G.; Ozturk, M.A.; Roh, E.H. Cubic soft ideals in BCK/BCI-algebras. J. Comput. Anal. Appl. 2017, 22, 929–940. [Google Scholar]
- Muhiuddin, G.; Abdullah, M.A. Cubic soft sets with applications in BCK/BCI-algebras. Ann. Fuzzy Math. Inform. 2014, 8, 291–304. [Google Scholar]
- Muhiuddin, G.; Feng, F.; Jun, Y.B. Subalgerbas of BCK/BCI-algebras based on cubic soft sets. Sci. World J. 2014, 2014, 458638. [Google Scholar]
- Feng, F.; Khan, M.; Anis, S.; Qadeer, M. Right weakly regular semigroups characterized by their generalized fuzzy ideals. UPB Sci. Bull. Ser. A 2013, 75, 53–66. [Google Scholar]
- Khan, M.; Gulistan, M.; Ashraf, U.; Anis, S. A note on right weakly regular semigroups. Sci. Int. (Lahore) 2014, 26, 971–975. [Google Scholar]
- Mallat, S.G. Understanding deep convolutional networks. Philos. Trans. R. Soc. A 2016, 374, 20150203. [Google Scholar] [CrossRef] [PubMed]
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).