• No results found

On Normal Sub-Intuitionistic Fuzzy Multigroups

N/A
N/A
Protected

Academic year: 2020

Share "On Normal Sub-Intuitionistic Fuzzy Multigroups"

Copied!
13
0
0

Loading.... (view fulltext now)

Full text

(1)

Vol.19, No.2, 2019, 127-139

ISSN: 2279-087X (P), 2279-0888(online) Published on 5 April 2019

www.researchmathsci.org

DOI: http://dx.doi.org/10.22457/apam.581v19n2a1

127

Annals of

On Normal Sub-Intuitionistic Fuzzy Multigroups

I.M.Adamu1, Y.Tella2 and A.J.Alkali3

1

Department of Mathematics, Federal University Dutse P.M.B. 7156 Dutse, Jigawa State, Nigeria Email: [email protected]

2

Department of Mathematical Sciences, Kaduna State University-Kaduna P.M.B. 2339 Kaduna State, Nigeria

Email: [email protected]

3

Department of Mathematics, Ahmadu Bello University Zaria P.M.B. 1094 Samaru-Zaria, Kaduna State, Nigeria

Email: [email protected]

Received 16 February 2019; accepted 1 April 2019

Abstract. This paper developed the concept of normal sub-intuitionistic fuzzy

Multigroups. It then established that intersection, union, of any two normal intuitionistic fuzzy multigroups is also normal. The inverse of any normal sub-intuitionistic fuzzy multigroup is normal and for any normal sub-sub-intuitionistic fuzzy multigroup, the root (support) set of normal sub-intuitionistic fuzzy multigroup is a normal sub-intuitionistic fuzzy group. It also showed that under the isomorphism function between any two groups, the image of a normal sub-intuitionistic fuzzy multigroup under the isomorphism is a normal sub-intuitionistic fuzzy multigroup and the inverse image of a normal intuitionistic fuzzy multigroup under the isomorphism is a normal sub-intuitionistic fuzzy multigroup.

Keywords: Multiset, fuzzy multiset, intuitionistic fuzzy multiset, multi groups, fuzzy

multigroups, intuitionistic fuzzy multi group, isomorphism function, normal sub- intuitionistic fuzzy multigroup

AMS Mathematics Subject Classification (2010): 08A72

1. Introduction

(2)

I.M.Adamu, Y.Tella and A.J.Alkali

128

factor, Zadeh [5] introduced Fuzzy sets in 1965, in which a membership function assigns to each element of the universe of discourse, a number from the unit interval [0,1] to indicate the degree of belongingness to the set under consideration. Fuzzy sets were introduced with a view to reconcile mathematical modeling and human knowledge in the engineering sciences. Since then, a considerable body of literature has blossomed around the concept of fuzzy sets in an incredibly wide range of areas, from mathematics and logics to traditional and advanced engineering methodologies. In 1983, Atanassov [6, 7] introduced the concept of Intuitionistic Fuzzy sets. The same time a theory called ‘Intuitionistic Fuzzy set theory’ was independently introduced by Takeuti and Titani [8] as a theory developed in (a kind of) Intuitionistic logic. An Intuitionistic Fuzzy set is characterized by two functions expressing the degree of membership and the degree of nonmembership of elements of the universe to the Intuitionistic Fuzzy set. Among the various notions of higher-order Fuzzy sets, Intuitionistic Fuzzy sets proposed by Atanassov provide a flexible framework to explain uncertainty and vagueness. It is well-known that in the beginning of the last century L.Brouwer introduced the concept of Intuitionism. The name Intuitionistic Fuzzy set is due to George Gargove, with themotivation that their fuzzification denies the law of excluded middle-one of the main ideas of Intuitionism. As a generalization of multiset, Yager [9] introduced fuzzy multisets and suggested possible applications to relational databases. An element of a Fuzzy Multiset can occur more than once with possibly the same or different membership values. The concept of Intuitionistic Fuzzy Multiset is introduced in [10] which have applications in medical diagnosis and robotics. In mathematics, abstract algebra is the study of algebraic structures and more specifically the term algebraic structure generally refers to a set (called carrier set or underlying set) with one or more finitely operations defined on it. Examples of algebraic structures include groups, rings, fields, and lattices. The algebraic structures of Fuzzy multisets are introduced in [11]. Adamu et al. [12] developed the concepts of normal and soft normal groups under multisets and soft multisets context. They defined the concepts of normal submultigroups and soft normal Multigroups and proved some of their related algebraic structures. In this paper we are extending these algebraic structures on intuitionistic fuzzy multisets and intuitionistic fuzzy multigroups by introducing a new concept named normal sub intuitionistic fuzzy multigroups.

2. Preliminaries

Definition 2.1. [13] Let ܺ be a set. A multiset (mset) ܯ drawn from ܺ is represented by a function count ܯ or ܥ defined as ܥ ∶ ܺ ⟶ ሼ0,1, 2, 3, … ሽ. For eachݔ ∈ ܺ, ܥሺݔሻ is the characteristic value of ݔ in ܯ. Here ܥሺݔሻ denotes the number of occurrences of ݔ in ܯ.

Definition 2.2. [14] LetX be a group. A multi set ܩ overX is a multi-group over X if

the count of ܩsatisfies the following two conditions. i. ܥሺݔݕሻ ≥ ܥሺݔሻ ∧ ܥሺݕሻ∀ݔ, ݕ ∈ ܺ; ii. ܥሺݔିଵሻ ≥ ܥሺݔሻ∀ݔ ∈ ܺ.

(3)

129

Definition 2.4. [16] Let ܩ be a group and ߤ ∈ ܨܲሺܩሻ (fuzzy power set of ܩ), then μ is called fuzzy subgroup of ܩ if

i. ߤሺݔݕሻ ≥ ߤሺݔሻ ∧ ߤሺݕሻ∀ݔ, ݕ ∈ ܺ and ii. ߤሺݔିଵሻ ≥ ߤሺݔሻ∀ݔ ∈ ܺ.

Definition 2.5. [10] Let ܺ be a nonempty set. An Intuitionistic Fuzzy Multiset ܣ denoted by IFMS drawn from ܺ is characterized by two functions : ‘count membership’ of

ܣሺܥܯ஺ሻ and ‘count non membership’ of ܣሺܥܰሻ given respectively by ܥܯ∶ ܺ ⟶ ܳ and ܥܰ∶ ܺ ⟶ ܳ where ܳ is the set of all crisp multisets drawn from the unit interval

ሾ0,1ሿ such that for eachݔ ∈ ܺ, the membership sequence is defined as a decreasingly ordered sequence of elements in ܣሺܥܯሻ which is denoted by (ߤଵሺݔሻ, ߤଶሺݔሻ, … , ߤ௣ሺݔሻ) where (ߤଵሺݔሻ ≥ ߤଶሺݔሻ ≥, … , ߤ௣ሺݔሻ) and the corresponding non membership sequence will be denoted by

( ߭ଵሺݔሻ, ߭ଶሺݔሻ, … , ߭௣ሺݔሻ) such that 0 < ߤ௜ሺݔሻ + ߭௜ሺݔሻ < 1 for every ݔ ∈ ܺ and

݅ = 1,2, … , ݌.

An IFMS ܣ is denoted by

ܣ = ൛< ݔ ∶ ሺߤ஺ଵሺݔሻ, ߤ஺ଶሺݔሻ, … , ߤ஺௣ሺݔሻሻ , ሺ ߭஺ଵሺݔሻ, ߭஺ଶሺݔሻ, … , ߭஺௣ሺݔሻሻ >∶ ݔ ∈ ܺൟ

Definition 2.6. [10] Length of an element ݔ in an IFMS ܣ is defined as the Cardinality of

ܥܯ஺ሺݔሻ or ܥܰሺݔሻ for which 0 < ߤ௜ሺݔሻ + ߭௜ሺݔሻ < 1 and it is denoted by ܮሺݔ ∶ ܣሻ. That is

ܮሺݔ ∶ ܣሻ = ⎸ܥܯ஺ሺݔሻ⎹ = ⎸ܥܰ஺ሺݔሻ⎹

ܮሺݔ ∶ ܣሻ = |ܥܯܣሺݔሻ| = |ܥܰܣሺݔሻ|

Definition 2.7. [10] If ܣ and ܤ are IFMSs drawn from ܺ then

ܮሺݔ ∶ ܣ, ܤሻ = ܯܽݔሼܮሺݔ ∶ ܣሻ, ܮሺݔ ∶ ܤሻሽ. Alternatively we use ܮሺݔሻ for ܮሺݔ ∶ ܣ, ܤሻ.

Definition 2.8. [11] For any two IFMSs ܣ and ܤ drawn from a set ܺ, the following operations and relations will hold. Let

ܣ = ൛< ݔ ∶ ሺߤ஺ଵሺݔሻ, ߤ஺ଶሺݔሻ, … , ߤ஺௣ሺݔሻሻ , ሺ ߭஺ଵሺݔሻ, ߭஺ଶሺݔሻ, … , ߭஺௣ሺݔሻሻ >∶ ݔ ∈ ܺൟ

And

ܤ = ൛< ݔ ∶ ሺߤ஺ଵሺݔሻ, ߤ஺ଶሺݔሻ, … , ߤ஺௣ሺݔሻሻ , ሺ ߭஺ଵሺݔሻ, ߭஺ଶሺݔሻ, … , ߭஺௣ሺݔሻሻ >∶ ݔ ∈ ܺൟ

Then

i. Inclusion

ܣ ⊂ ܤ ⇔ ߤ௝ሺݔሻ ≤ ߤ௝ሺݔሻ and ߭௝ሺݔሻ + ߭௝ሺݔሻ; ݆ = 1,2, … , ܮሺݔሻ, ݔ ∈ ܺ

ܣ = ܤ ⇔ ܣ ⊂ ܤand ܤ ⊂ ܣ ii. Complement

¬ܣ = ൛< ݔ ∶ ሺ ߭஺ଵሺݔሻ, ߭஺ଶሺݔሻ, … , ߭஺௣ሺݔሻሻ , ሺߤ஺ଵሺݔሻ, ߤ஺ଶሺݔሻ, … , ߤ஺௣ሺݔሻሻ >∶ ݔ ∈ ܺൟ

iii. Union ሺܣ ∪ ܤሻ

In ܣ ∪ ܤthe membership and non-membership values are obtained as follows.

(4)

I.M.Adamu, Y.Tella and A.J.Alkali

130

߭஺∪஻௝ ሺݔሻ = ߭஺௝ሺݔሻ ∧ ߭஺௝ሺݔሻ, ݆ = 1,2, … , ܮሺݔሻ, ݔ ∈ ܺ.

iv. Intersection ሺܣ ∩ ܤሻ

In ܣ ∩ ܤ the membership and non-membership values are obtained as follows.

ߤ஺∩஻௝ ሺݔሻ = ߤ௝ሺݔሻ ∧ ߤ௝ሺݔሻ ߭஺∩஻௝ ሺݔሻ = ߭௝ሺݔሻ ∨ ߭௝ሺݔሻ, ݆ = 1,2, … , ܮሺݔሻ, ݔ ∈ ܺ.

Definition 2.9. [11] If ܺ and ܻ are two nonempty sets and ݂ ∶ ܺ → ܻ be a mapping. Then

i. The image of the FMS ܣ ∈ ܨܯሺܺሻ under the mapping ݂ is denoted by ݂ሺܣሻ, or

ܥܯ௙ሾ஺ሿሺݕሻ = ൜⋁௙ሺ௫ሻୀ௬ܥܯ஺ሺݔሻ ݂݅ ݂

ିଵሺݕሻ ≠ ߶

0 ݋ݐℎ݁ݎݓ݅ݏ݁

ii. The inverse image of the FMS ܤ ∈ ܨܯሺܻሻ under the mapping ݂ is denoted by

݂ିଵሺܤሻ or݂ିଵሾܤሿ, where ܥܯ

௙షభሾ஻ሿሺݔሻ = ܥܯ݂ሾݔሿ.

Definition 2.10. [11] Let ܺ be a group. A fuzzy multiset ܩ over ܺ is a fuzzy multi group (FMG) over ܺ if the count (count membership) of ܩ satisfies the following two conditions.

i. ܥܯሺݔݕሻ ≥ ܥܯሺݔሻ ∧ ܥܯሺݕሻ ∀ݔ, ݕ ∈ ܺ. ii. ܥܯሺݔିଵሻ = ܥܯሺݔሻ ∀ݔ ∈ ܺ

Definition 2.11. [12] A submgroup ܪ of a mgroup ܯ ∈ ܯܩሺܺሻ is said to be a normal submgroup iff for any ℎ ∈ ܪ∗,

ܥுሺݔିଵℎݔሻ ≥ ܥுሺℎሻ, ∀ ݔ ∈ ܯ∗.

Theorem 2.12. [12] Let ܯand ܯ be submgroups of a mgroup

ܯ ∈ ܯܩሺܺሻsuch that ܯ, ܯ∈ ⊿℘ሺܯሻ, then i. ܯ∩ ܯ∈ ⊿℘ሺܯሻ;

ii. ܯ∪ ܯ∈ ⊿℘ሺܯሻ.

Theorem 2.13 [12] If ܪ ∈ ⊿℘ሺܯሻ then ܪ∗ is a normal subgroup of ܯ∗

Theorem 2.14. [12] Let ܺ be a group and ܯ ∈ ܯܩሺܺሻ. If ܯ ∈ ⊿℘ሺܯሻ, then ܯିଵ∈ ⊿℘ሺܯሻ.

Theorem 2.15. [12] Let ܺ, ܻbe two groups and ݂ ∶ ܺ ⟶ ܻ be an isomorphism of groups. Suppose ܯ∈ ܯܩሺܺሻ, ܯ∈ ܯܩሺܻሻ and ݂ሺܯሻ ⊆ ܯ

i. if ܪ ∈ ⊿℘ሺܯሻ, then ݂ሺܪሻ ∈ ⊿℘ሺܯሻ; ii. if ܪ ∈ ⊿℘ሺܯሻ then ݂ିଵሺܪሻ ∈ ⊿℘ሺܯሻ.

Definition 2.16. [17] Let ܺ be a group. An intuitionistic fuzzy multiset ܩ over ܺ is an intuitionistic fuzzy multi group (IFMG) over ܺ if the counts (count membership and non-membership) of ܩ satisfies the following two conditions.

(5)

131 ii. ܥܯሺݔିଵሻ ≥ ܥܯሺݔሻ ∀ݔ ∈ ܺ.

iii. ܥܰሺݔݕሻ ≤ ܥܯሺݔሻ ∧ ܥܯሺݕሻ ∀ݔ, ݕ ∈ ܺ. iv. ܥܰሺݔିଵሻ ≤ ܥܯሺݔሻ ∀ݔ ∈ ܺ.

Definition 2.17. [17] Let ܩ ∈ ܨܯܵሺܺሻ. Then define

ܩ∗= ሼݔ ∈ ܺ ∶ ܥܯ

ீሺݔሻ = ܥܯீሺ݁ሻ ܽ݊݀ ܥܰீሺݔሻ = ܥܰீሺ݁ሻሽ.

Proposition 2.18. [17] Let ܩ ∈ ܨܯܩሺܺሻ. Then ܩ∗ is a subgroup of ܺ.

Definition 2.19. [17] Let ܩ ∈ ܨܯܵሺܺሻ. Let݆ ∈ ℕ. Then define

ܩ௝= ൛ݔ ∈ ܺ ∶ ߤ

ீ௝ሺݔሻ ≥ 0, ߤீ௝ାଵሺݔሻ = 0 ܽ݊݀ ߭ீ௝ሺݔሻ = 0 ൟ .

Theorem 2.20. [17] Let ܩ ∈ ܨܯܩሺܺሻ. Then ܩ௝ is a subgroup of ܺ iff

ߤ௝ାଵሺݔݕିଵሻ = 0 ܽ݊݀ ߭

ீ௝ାଵሺݔݕିଵሻ = 0 ∀ݔ, ݕ ∈ ܩ௝

3. Normal sub-intuitionistic fuzzy multigroups

Throughout this section, let ܺ be a group with binary operation and the identity element is ݁. Also we assume that the intuitionistic fuzzy multisets and intuitionistic fuzzy Multigroups are taken from ܫܨܯܵሺܺሻ and ܫܨܯܩሺܺሻrespectively.

Definition 3.1. A sub-intuitionistic fuzzy multigroup ܪ of an intuitionistic fuzzy multigroup ܩ ∈ ܫܨܯܩሺܺሻis said to be a normal sub-intuitionistic fuzzy Multigroups iff for any ℎ ∈ ܪ∗,

i. ܥܯሺݔିଵℎݔሻ ≥ ܥܯሺℎሻ, ∀ ݔ ∈ ܩ∗. ii. ܥܰሺݔିଵℎݔሻ ≤ ܥܰሺℎሻ∀ ݔ ∈ ܩ∗.

We denote the set of all normal sub-intuitionistic fuzzy Multigroups of an intuitionistic fuzzymgroup ܩ ∈ ܫܨܯܩሺܺሻ by ⊿℘ܵܫܨܯܩሺܩሻ and the normality of ܪ over ܩ ∈ ܫܨܯܩሺܺሻ byܪ ⊴ ܩ

Example 3.2. ሺΖ, + is a group. Then

ܩ = ൞

< 2: ሺ0.6,0.4,0.3,0.1ሻ, ሺ0.4,0.6,0.7,0.9ሻ >, < 1: ሺ0.8,0.7,0.7,0.5,0.1,0.1ሻ, ሺ0.2,0.3,0.3,0.5,0.9,0.9ሻ >, < 3: ሺ0.8,0.7,0.7,0.5,0.1,0.1ሻ, ሺ0.2,0.3,0.3,0.5,0.9,0.9ሻ >, < 0 ∶ ሺ0.9,0.8,0.7,0.5,0.1,0.1ሻ, ሺ0.1,0.8,0.3,0.5,0.9,0.9ሻ >, ൢ

is an intuitionistic fuzzy multi group. And

ܪ = ൞

< 2: ሺ0.6,0.4,0.3,0.1ሻ, ሺ0.4,0.6,0.7,0.9ሻ >, < 1: ሺ0.7,0.6,0.5,0.5,0.1,0.1ሻ, ሺ0.3,0.4,0.5,0.5,0.9,0.9ሻ >, < 3: ሺ0.7,0.6,0.5,0.5,0.1,0.1ሻ, ሺ0.3,0.4,0.5,0.5,0.9,0.9ሻ >, < 0 ∶ ሺ0.9,0.8,0.7,0.5,0.1,0.1ሻ, ሺ0.1,0.2,0.3,0.5,0.9,0.9ሻ > ൢ

is a normal sub-intuitionistic fuzzy multigroup of the intuitionistic fuzzy multigroup ܩ.

(6)

I.M.Adamu, Y.Tella and A.J.Alkali

132 i. ܩ∩ ܩ∈ ⊿℘ܵܫܨܯܩሺܩሻ; ii. ܩ∪ ܩ∈ ⊿℘ܵܫܨܯܩሺܩሻ.

Proof:

i. ܩand ܩ are sub-intuitionistic fuzzy mgroups, we have;

ܥܯ ீభሺݔݕሻ ≥ ܥܯீభሺݔሻ ∧ ܥܯ ீభሺݕሻ, ܥܯ ீభሺݔିଵሻ = ܥܯீభሺݔሻ ∀ ݔ, ݕ ∈ ܺ , ܥܯ ீమሺݔݕሻ ≥ ܥܯீమሺݔሻ ∧ ܥܯ ீమሺݕሻ, ܥܯ ீమሺݔିଵሻ = ܥܯீమሺݔሻ ∀ ݔ, ݕ ∈ ܺ .

∴ ܥܯ ீభ∩ீమሺݔݕሻ = ⋀൛ܥܯ ீభሺݔݕሻ, ܥܯீమሺݔݕሻൟ ≥ ⋀൛ൣܥீభሺݔሻ ∧ ܥீభሺݕሻ൧, ൣܥீమሺݔሻ ∧ ܥீమሺݕሻ൧ൟ = ܥܯீభሺݔሻ ∧ ܥܯ ீభሺݕሻ ∧ ܥܯீమሺݔሻ ∧ ܥܯ ீమሺݕሻ = ൣܥܯீభሺݔሻ ∧ ܥܯ ீమሺݔሻ൧ ∧ ൣܥܯீభሺݕሻ ∧ ܥܯ ீమሺݕሻ൧

= ܥܯ ீభ∩ீమሺݔሻ ∧ ܥܯ ீభ∩ீమሺݕሻ (1) ܥܯ ீభ∩ீమሺݔିଵሻ = ܥܯ ீభሺݔିଵሻ ∧ ܥܯ ீమሺݔିଵሻ

= ܥܯ ீభሺݔሻ ∧ ܥܯ ீమሺݔሻ

= ܥܯ ீభ∩ீమሺݔሻ (2)

Next we also have;

ܥܰீభሺݔݕሻ ≤ ܥܰீభሺݔሻ ∧ ܥܰீభሺݕሻ, ܥܰீభሺݔିଵሻ = ܥܰீభሺݔሻ ∀ ݔ, ݕ ∈ ܺ , ܥܰ ீమሺݔݕሻ ≤ ܥܰீమሺݔሻ ∧ ܥܰ ீమሺݕሻ, ܥܰ ீమሺݔିଵሻ = ܥܰீమሺݔሻ ∀ ݔ, ݕ ∈ ܺ .

∴ ܥܰ ீభ∩ீమሺݔݕሻ = ⋀൛ܥܰ ீభሺݔݕሻ, ܥܰீమሺݔݕሻൟ ≤ ⋁൛ൣܥܰீభሺݔሻ ∧ ܥܰ ீభሺݕሻ൧, ൣܥܰீమሺݔሻ ∧ ܥܰ ீమሺݕሻ൧ൟ

= ܥܰீభሺݔሻ ∧ ܥܰ ீభሺݕሻ ∧ ܥܰீమሺݔሻ ∧ ܥܰ ீమሺݕሻ = ൣܥܰீభሺݔሻ ∧ ܥܰ ீమሺݔሻ൧ ∧ ൣܥܰீభሺݕሻ ∧ ܥܰ ீమሺݕሻ൧

= ܥܰ ீభ∩ீమሺݔሻ ∧ ܥܰ ீభ∩ீమሺݕሻ (3) ܥܰ ீభ∩ீమሺݔିଵሻ = ܥܰ ீభሺݔିଵሻ ∧ ܥܰ ீమሺݔିଵሻ

= ܥܰ ீభሺݔሻ ∧ ܥܰ ீమሺݔሻ

= ܥܰ ீభ∩ீమሺݔሻ (4)

Thus, from (1), (2), (3) and (4), we have

ܩଵ∩ ܩଶ∈ ܫܨܯܩሺܺሻ (5)

Next

Since ܩ⊆ ܩ and ܩ⊆ ܩ, then ܩ∩ ܩ⊆ ܩ Since ܩ, ܩ∈ ⊿℘ܵܫܨܯܩሺܯሻ, we have

ܥܯ ீభሺݔିଵݕଵݔሻ ≥ ܥܯீభሺݕଵሻ, ∀ ݔ ∈ ܩ∗ ,ݕଵ∈ ܩଵ∗; ܥܯீమሺݔିଵݕଶݔሻ ≥ ܥܯீమሺݕଶሻ, ∀ ݔ ∈ ܩ∗, ݕଶ∈ ܩଶ∗;

Now

ܥܯ ீభ∩ீమሺݔିଵݕݔሻ = ⋀൛ܥܯ ீభሺݔିଵݕݔሻ, ܥܯீమሺݔିଵݕݔሻൟ ≥ ⋀൛ܥܯ ீభሺݕሻ, ܥܯீమሺݕሻൟ∀ ݔ ∈ ܩ∗, ݕ ∈ ሺܩଵ∩ ܩଶሻ∗= ܩଵ∗∩ ܩଶ∗

Since ܥܯሺݔିଵݕݔሻ ≥ ܥܯሺݕሻ and ܥܯሺݔିଵݕݔሻ ≥ ܥܯሺݕ

∴ ܥܯ ீభ∩ீమሺݔିଵݕݔሻ ≥ ܥܯ ீభሺݕሻ ∧ ܥܯீమሺݕሻ = ܥܯ ீభ∩ீమሺݕሻ

Thus ܥܯ∩ீሺݔିଵݕݔሻ ≥ ܥܯ∩ீሺݕሻ, ∀ ݔ ∈ ܩ∗, ݕ ∈ ܩ∩ ܩ (6) Similarly,

(7)

133 Therefore,

ܥܰ ீభ∩ீమሺݔିଵݕݔሻ = ⋁൛ܥܰ ீభሺݔିଵݕݔሻ, ܥܰீమሺݔିଵݕݔሻൟ ≤ ⋁൛ܥܰ ீభሺݕሻ, ܥܰீమሺݕሻൟ∀ ݔ ∈ ܩ∗, ݕ ∈ ሺܩଵ∩ ܩଶሻ∗= ܩଵ∗∩ ܩଶ∗

Since ܥܰሺݔିଵݕݔሻ ≤ ܥܰሺݕሻ and ܥܰሺݔିଵݕݔሻ ≤ ܥܰሺݕ

∴ ܥܰ ீభ∩ீమሺݔିଵݕݔሻ ≤ ܥܰ ீభሺݕሻ ∧ ܥܰீమሺݕሻ = ܰሺݕሻ

Thus ܥܰ∩ீሺݔିଵݕݔሻ ≤ ܥܰ∩ீሺݕሻ, ∀ ݔ ∈ ܩ∗, ݕ ∈ ܩ∩ ܩ (7) From equations (5), (6) and (7) we have, ܩ∩ ܩ∈ ⊿℘ܵܫܨܯܩሺܯሻ.

ii. Since ܩand ܩ are sub-intuitionistic fuzzy mgroups, we have;

ܥܯ ீభሺݔݕሻ ≥ ܥܯீభሺݔሻ ∧ ܥܯ ீభሺݕሻ, ܥܯ ீభሺݔିଵሻ = ܥܯீభሺݔሻ ∀ ݔ, ݕ ∈ ܺ , ܥܯ ீమሺݔݕሻ ≥ ܥܯீమሺݔሻ ∧ ܥܯ ீమሺݕሻ, ܥܯ ீమሺݔିଵሻ = ܥܯீమሺݔሻ ∀ ݔ, ݕ ∈ ܺ .

∴ ܥܯ ீభ∪ீమሺݔݕሻ = ⋁൛ܥܯ ீభሺݔݕሻ, ܥܯீమሺݔݕሻൟ ≥ ⋁൛ൣܥܯீభሺݔሻ ∧ ܥܯ ீభሺݕሻ൧, ൣܥܯீమሺݔሻ ∧ ܥܯ ீమሺݕሻ൧ൟ

= ൣܥܯீభሺݔሻ ∧ ܥܯ ீమሺݔሻ൧⋁ൣܥܯீభሺݕሻ ∧ ܥܯ ீమሺݕሻ൧ = ൣܥܯீభሺݔሻ⋁ܥܯ ீమሺݔሻ൧⋀ൣܥܯீభሺݕሻ⋁ܥܯ ீమሺݕሻ൧

= ܥܯ ீభ∪ீమሺݔሻ ∧ ܥܯ ீభ∪ீమሺݕሻ (1) ܥܯ ீభ∪ீమሺݔିଵሻ = ܥܯ ீభሺݔିଵሻ⋁ܥܯ ீమሺݔିଵሻ

= ܥ ெభሺݔሻ⋁ܥ ெమሺݔሻ = ܥ ெభ∪ெమሺݔሻ

∴ ܥܯ ீభ∪ீమሺݔିଵሻ = ܥܯ ீభ∪ீమሺݔሻ (2)

We also have;

ܥܰ ீభሺݔݕሻ ≥ ܥܰீభሺݔሻ ∧ ܥܰ ீభሺݕሻ, ܥܰ ீభሺݔିଵሻ = ܥܰீభሺݔሻ ∀ ݔ, ݕ ∈ ܺ , ܥܰ ீమሺݔݕሻ ≥ ܥܰீమሺݔሻ ∧ ܥܰ ீమሺݕሻ, ܥܰ ீమሺݔିଵሻ = ܥܰீమሺݔሻ ∀ ݔ, ݕ ∈ ܺ .

∴ ܥܰ ீభ∪ீమሺݔݕሻ = ⋁൛ܥܰ ீభሺݔݕሻ, ܥܰீమሺݔݕሻൟ ≤ ⋁൛ൣܥܰீభሺݔሻ ∧ ܥܰ ீభሺݕሻ൧, ൣܥܰீమሺݔሻ ∧ ܥܰ ீమሺݕሻ൧ൟ

= ൣܥܰீభሺݔሻ ∧ ܥܰ ீమሺݔሻ൧⋁ൣܥܰீభሺݕሻ ∧ ܥܰ ீమሺݕሻ൧ = ൣܥܰீభሺݔሻ⋁ܥܰ ீమሺݔሻ൧⋀ൣܥܰீభሺݕሻ⋁ܥܰ ீమሺݕሻ൧

= ܥܰ ீభ∪ீమሺݔሻ ∧ ܥܰ ீభ∪ீమሺݕሻ (3) ܥܰ ீభ∪ீమሺݔିଵሻ = ܥܰ ீభሺݔିଵሻ⋁ܥܰ ீమሺݔିଵሻ

= ܥܰ ீభሺݔሻ⋁ܥܰ ீమሺݔሻ = ܥܰ ீభ∪ீమሺݔሻ

∴ ܥܰ ீభ∪ீమሺݔିଵሻ = ܥܰ ீభ∪ீమሺݔሻ (4)

Thus, from (1), (2), (3) and (4), we have

ܩଵ∪ ܩଶ∈ ܫܨܯܩܯܩሺܺሻ (5)

Next

Since ܩ⊆ ܩ and ܩ⊆ ܩ, then ܩ∪ ܩ⊆ ܩ Since ܩ, ܩ∈ ⊿℘ܵܫܨܯܩሺܯሻ, we have

ܥܯ ீభሺݔିଵݕଵݔሻ ≥ ܥܯீభሺݕଵሻ, ∀ ݔ ∈ ܩ∗ ,ݕଵ∈ ܩଵ∗; ܥܯீమሺݔିଵݕଶݔሻ ≥ ܥܯீమሺݕଶሻ, ∀ ݔ ∈ ܩ∗, ݕଶ∈ ܩଶ∗;

(8)

I.M.Adamu, Y.Tella and A.J.Alkali

134

Since ܥܯሺݔିଵݕݔሻ ≥ ܥܯሺݕሻ and ܥܯሺݔିଵݕݔሻ ≥ ܥܯሺݕ

∴ ܥܯ ீభ∪ீమሺݔିଵݕݔሻ ≥ ܥܯ ீభሺݕሻ⋁ܥܯீమሺݕሻ = ܥܯ ீభ∪ீమሺݕሻ

Thus ܥܯ∪ீሺݔିଵݕݔሻ ≥ ܥܯ∪ீሺݕሻ, ∀ ݔ ∈ ܩ∗, ݕ ∈ ܩ∪ ܩ (6) Similarly,

ܥܰ ீభሺݔିଵݕଵݔሻ ≤ ܥܰீభሺݕଵሻ, ∀ ݔ ∈ ܩ∗ ,ݕଵ∈ ܩଵ∗; ܥܰீమሺݔିଵݕଶݔሻ ≤ ܥܰீమሺݕଶሻ, ∀ ݔ ∈ ܩ∗, ݕଶ∈ ܩଶ∗;

∴ ܥܰ ீభ∪ீమሺݔିଵݕݔሻ = ⋁൛ܥܰ ீభሺݔିଵݕݔሻ, ܥܰீమሺݔିଵݕݔሻൟ ≤ ⋁൛ܥܰ ீభሺݕሻ, ܥܰீమሺݕሻൟ∀ ݔ ∈ ܩ∗, ݕ ∈ ሺܩଵ∪ ܩଶሻ∗= ܩଵ∗∪ ܩଶ∗

Since ܥܰሺݔିଵݕݔሻ ≤ ܥܰሺݕሻ and ܥܰሺݔିଵݕݔሻ ≤ ܥܰሺݕ

∴ ܥܰ ீభ∪ீమሺݔିଵݕݔሻ ≤ ܥܰ ீభሺݕሻ ∧ ܥܰீమሺݕሻ = ܥܰ ீభ∪ீమሺݕሻ

Thus ܥܰ∪ீሺݔିଵݕݔሻ ≤ ܥܰ∪ீሺݕሻ, ∀ ݔ ∈ ܩ∗, ∈ ܩ∪ ܩ (7) From equations (5), (6) and (7) we have, ܩ∪ ܩ∈ ⊿℘ܵܫܨܯܩሺܯሻ.

Remark 3.4. Let ሼܩ ∶ ܩ ∈ ⊿℘ܵܫܨܯܩሺܯሻ, ݅ ∈ ∆ሽ then ⋂௜∈∆ܩ ∈ ⊿℘ܵܫܨܯܩሺܯሻ and ⋃௜∈∆ܯ ∈ ⊿℘ሺܯሻ.

Proposition 3.5. If ܪ ∈ ⊿℘ܵܫܨܯܩሺܩሻ then ܪ∗ is a normal sub-intuitionistic group of ܩ∗.

Proof:

Since ܪ ⊆ ܩ ⟹ ܪ∗⊆ ܩ∗

Thus, ܪ∗ is a sub-intuitionistic group of ܩ∗

Since ܪ ∈ ⊿℘ܵܫܨܯܩሺܩሻ, then for any ݔ ∈ ܩ∗and ℎ ∈ ܪ∗

ܥܯுሺݔିଵℎݔሻ ≥ ܥܯுሺℎሻ > 0

∴ ܥܯுሺݔିଵℎݔሻ > 0

Similarly,

ܥܰுሺݔିଵℎݔሻ ≤ ܥܰுሺℎሻ = 0

∴ ܥܯுሺݔିଵℎݔሻ = 0

⟹ ሺݔିଵℎݔሻ ∈ ܪ

∴ ܪ∗is a normal sub-intuitionistic group of ܩ.

Proposition 3.6. Let ܩ ∈ ܨܯܩሺܺሻand ܪ ∈ ⊿℘ܵܫܨܯܩሺܩሻ. Then ܪ௝∗ is a normal subgroup of ܩ∗ iff

ߤ௝ାଵሺݔିଵݕݔሻ = 0 ܽ݊݀ ߭

ு௝ାଵሺݔିଵݕݔሻ = 0 ∀ݔ ∈ ܩ∗ ܽ݊݀ ݕ ∈ ܪ௝∗.

Proof: Let ݔ ∈ ܩ∗ ܽ݊݀ ݕ ∈ ܪ௝∗. It implies that

ߤ௝ሺݔିଵݕݔሻ ≥ 0 And ߤ

ு௝ାଵሺݔିଵݕݔሻ = 0 (by definition 2.19)

߭௝ሺݔିଵݕݔሻ = 0 and ߭

ு௝ାଵሺݔିଵݕݔሻ = 0

Assume ߤ௝ାଵሺݔିଵݕݔሻ = 0 ܽ݊݀ ߭௝ାଵሺݔିଵݕݔሻ = 0 ∀ݔ ∈ ܩ∗ ܽ݊݀ ݕ ∈ ܪ௝∗ Then by the above proposition,

ߤ௝ሺݔିଵݕݔሻ > 0 and ߭

ு௝ሺݔିଵݕݔሻ = 0

⟹ ݔିଵݕݔ ∈ ܪ௝∗. Then ܪ௝∗ is a normal subgroup of ܩ. Hence the proof

Conversely,

ܪ௝∗is a normal subgroup ofܩ. Thenݔ ∈ ܩ , ݕ ∈ ܪ௝∗ ⟹ ݔିଵݕݔ ∈ ܪ௝∗

⟹ ߤ௝ାଵሺݔିଵݕݔሻ = 0 ܽ݊݀ ߭

(9)

135

Proposition 3.7. Let ܺ be a group and ܩ ∈ ܫܨܯܩሺܺሻ. If ܩ ∈ ⊿℘ܵܫܨܯܩሺܩሻ, then

ܩିଵ ∈ ⊿℘ܵܫܨܯܩሺܩሻ.

Proof: Since ܩ ∈ ⊿℘ܵܫܨܯܩሺܩሻ, then we have

ܥܯெሺݔିଵݕݔሻ ≥ ܥܯெሺݕሻ, ∀ ݔ ∈ ܺ and ݕ ∈ ܩ∗ Also

ܥܯషభሺݔݕሻ = ܥܯሾሺݔݕሻିଵሿ = ܥܯሺݔݕሻ ≥ ܥܯሺݔሻ ∧ ܥܯሺݕሻ

= ܥܯீሺݔିଵሻ ∧ ܥܯீሺݕିଵሻ

= ܥܯషభሺݔሻ ∧ ܥܯషభሺݕሻ ∴ ܥܯீషభሺݔݕሻ ≥ ܥܯሺݔିଵሻ ∧ ܥܯሺݕିଵሻ ܥܯషభሺݔିଵሻ = ܥܯሾሺݔିଵሻିଵሿ = ܥܯሺݔሻ

= ܥܯீሺݔିଵሻ = ܥܯீషభሺݔሻ ∴ ܥܯீషభሺݔିଵሻ = ܥܯషభሺݔሻ

Thus, ܩିଵ∈ ܫܨܯܩሺܺሻ

ܥܯீషభሺݔିଵݕݔሻ = ܥܯሾሺݔିଵݕݔሻିଵሿ = ܥܯሺݔିଵݕݔሻ ≥ ܥܯሺݕሻ, ∀ ݔ ∈ ܺ

And ݕ ∈ ܩ∗

∴ ܥܯషభሺݔିଵݕݔሻ = ܥܯሾሺݔିଵݕݔሻିଵሿ = ܥܯீሺݔିଵݕݔሻ ≥ ܥܯீሺݕሻ = ܥܯீషభሺݕሻ ⟹ ܥܯீషభሺݔିଵݕݔሻ ≥ ܥܯషభሺݕሻ(1)

We also have;

ܥܰீሺݔିଵݕݔሻ ≥ ܥܰீሺݕሻ, ∀ ݔ ∈ ܺand ݕ ∈ ܩ∗ And

ܥܰషభሺݔݕሻ = ܥܰሾሺݔݕሻିଵሿ = ܥܰሺݔݕሻ ≥ ܥܰሺݔሻ ∧ ܥܰሺݕሻ = ܥܰீሺݔିଵሻ ∧ ܥܰீሺݕିଵሻ

= ܥܰషభሺݔሻ ∧ ܥܰషభሺݕሻ

∴ ܥܰீషభሺݔݕሻ ≥ ܥܰሺݔିଵሻ ∧ ܥܰሺݕିଵሻ ܥܰషభሺݔିଵሻ = ܥܰሾሺݔିଵሻିଵሿ = ܥܰሺݔሻ = ܥܰீሺݔିଵሻ = ܥܰீషభሺݔሻ

∴ ܥܰషభሺݔିଵሻ = ܥܰషభሺݔሻ

Thus, ܩିଵ∈ ܫܨܯܩሺܺሻ

ܥܰீషభሺݔିଵݕݔሻ = ܥܰሾሺݔିଵݕݔሻିଵሿ = ܥܰሺݔିଵݕݔሻ ≥ ܥܰሺݕሻ, ∀ ݔ ∈ ܺ

and ݕ ∈ ܩ∗

∴ ܥܰషభሺݔିଵݕݔሻ = ܰሾሺݔିଵݕݔሻିଵሿ = ܥܰீሺݔିଵݕݔሻ ≥ ܥܰீሺݕሻ = ܥܰீషభሺݕሻ ⟹ ܥܰீషభሺݔିଵݕݔሻ ≥ ܥܰషభሺݕሻ(2)

Hence from (1) and (2) we have ܩିଵ∈ ⊿℘ܵܫܨܯܩሺܩሻ

Proposition 3.8. Let ܺ, ܻ be two groups and ݂ ∶ ܺ ⟶ ܻ be an isomorphism of groups. Suppose ܩ∈ ܫܨܯܩሺܺሻ, ܩ∈ ܫܨܯܩሺܻሻ and ݂ሺܩሻ ⊆ ܩ

i. if ܪ ∈ ⊿℘ܵܫܨܯܩሺܩሻ, then ݂ሺܪሻ ∈ ⊿℘ܵܫܨܯܩሺܩሻ. ii. ifܪ ∈ ⊿℘ܵܫܨܯܩሺܩሻ then ݂ିଵሺܪሻ ∈ ⊿℘ܵܫܨܯܩሺܩሻ.

Proof: i. Let ܪ ∈ ⊿℘ܵܫܨܯܩሺܩሻ. Clearly ܪ is a sub-intuitionistic fuzzy mgroup of

ܩଵ(by definition).

(10)

I.M.Adamu, Y.Tella and A.J.Alkali

136

ܥܯ௙ሺுሻሺݔݕሻ =⋁I(})MLN](|) Since G() ≠ ∅ (by definition 2.9. (i)) But G is 1-1 and onto (by hypothesis), thusG() = |.

In particular,

I(])() = ](|) = ]!G()$ = ](G()G()) (1) (G is an isomorphism). But

](G()G()) ≥ ]!G()$⋀]!G()$ (2) ([is submgroup of ). But

]!G()$⋀]!G()$ = !IYZ$YZ(])()⋀!IYZ$YZ(])() (3) (by definition 2.9.(ii)) and

!IYZ$YZ(])()⋀!IYZ$YZ(])() = I(])()⋀I(])() (4) Thus using (1), (2), (3) and (4), we have:

I(])() ≥ I(])()⋀I(])() (5)

I(])() = ⋁I(N)MLYZ]() (Since G() ≠ ∅ (by definition 2.9.(i))

But G is 1-1 and onto (by hypothesis), thusG() = . In particular,

I(])() = ]() = ]!G()$ = ]!G()$€ (6) But

]!G()$€ ≥ ]!G()$ = !IYZ$YZ(])() = I(])() (7) Thus from (6) and (7) we have

I(])() ≥ I(])() (8)

Also

+I(])() = +](|) = +]!G()$ = +](G()G()) (9) ( Gis an isomorphism). But

+](G()G()) ≤ +]!G()$⋀+]!G()$ (10) ([is submgroup of ). But

+]!G()$⋀+]!G()$ = +!IYZ$YZ(])()⋀+!IYZ$YZ(])() (11) (by definition 2.9.(ii)) and

+!IYZ$YZ(])()⋀+!IYZ$YZ(])() = +I(])()⋀+I(])() (12) Thus using (9), (10), (11) and (12), we have:

+I(])() ≤ +I(])()⋀+I(])() (13)

+I(])() = +]() = +]!G()$ = +]!G()$€ (14) But +]!G()$€ ≤ ]!G()$ = +!IYZ$YZ(])() = +I(])() (15)

Thus from (14) and (15) we have

+I(])() ≤ +I(])() (16)

From (5), (8),(13) and (16) we have G([) ∈ f((F) (17) But G() ⊆ -, since [ ⊆ , then G([) ⊆

(11)

137

i.e. I(])() ≥ I(])() for all ∈ -∗ and ∈ !G([)$∗ and +I(])() ≤ I(])() for all ∈ -∗ and ∈ !G([)$∗ Now

I(])() = ⋁I(})MLYZNL](|)= ]!G()$ (19) (SinceG is 1-1 and onto by definition)

But ]!G()$ = ]!G()G()G()$ and

]!G()G()G()$ = ]!G()$G()G()‚ (20) (since G is an isomorphism by hypothesis)

But

]!G()$G()G()‚ ≥ ]!G()$ = I(])() (21) From (19), (20) and (21), we have

I(])() ≥ I(])() (22) Similarly,

+I(])() = ⋁I(})MLYZNL+](|)= +]!G()$ (23) (SinceG is 1-1 and onto by definition)

But +]!G()$ = +]!G()G()G()$ and

+]!G()G()G()$ = +]!G()$G()G()‚ (24) (since G is an isomorphism by hypothesis)

But

+]!G()$G()G()‚ ≤ +]!G()$ = +I(])() (25) From (23), (24) and (25), we have

+I(])() ≤ +I(])() (26) Hence, using (18), (22) and (26) we deduce that G([) ∈ ⊿℘af((-)

ii. Let [ be a sub-intuitionistic fuzzy mgroup of -.

We show that G([) is a sub-intuitionisticfuzzy mgroup of . But IYZ(])() = ]%G()& (by definition)

= ]%G()G()& (Gis an isomorphism)

≥ ]%G()& ∧ ]%G()& (by definition)

= IYZ(])() ∧ IYZ(])()

IYZ(])() ≥ IYZ(])() ∧ IYZ(])() (27)

IYZ(])() = ]%G()& (by definition)

= ]ƒ!G()$„ (Gis an isomorphism)

= ]%G()& ([is a submgroup)

= IYZ(])() (by definition)

Thus IYZ(])() = IYZ(])() (28)

(12)

I.M.Adamu, Y.Tella and A.J.Alkali

138

≤ +]%G()& ∧ +]%G()& (by definition)

= +IYZ(])() ∧ +IYZ(])()

∴ +IYZ(])() ≤ +IYZ(])() ∧ +IYZ(])() (29)

+IYZ(])() = +]%G()& (by definition)

= +]ƒ!G()$„ (Gis an isomorphism)

= +]%G()& ([is a submgroup)

= +IYZ(])() (by definition)

Thus +IYZ(])() = +IYZ(])() (30) Now for all ∈ ∗ and ∈ %G([)&∗ we have

IYZ(])() = ]%G()& (by definition)

= ]%(G())G()G()& (G is an isomorphism)

≥ ]%G()& ([ ∈ ⊿℘af((-)by hypothesis)

= IYZ(])() (by definition)

∴ IYZ(])() ≥ IYZ(])() (31)

IYZ(])() = ]%G()& (by definition)

= +]%(G())G()G()& (G is an isomorphism)

≤ ]%G()& ([ ∈ ⊿℘af((-)by hypothesis)

= +IYZ(])() (by definition)

∴ +IYZ(])() ≤ +IYZ(])()(6)

Hence from (27) to (31) we have G([) is a normal subintuitionistic fuzzy mgroup of .

4. Conclusion

The paper developed the concept of normal sub-intuitionistic fuzzy Multigroup with some of its related algebraic structures such as intersection, union, of any two normal sub-intuitionistic fuzzy multigroups are also normal. It also showed that the inverse of any normal intuitionistic fuzzy multigroup is normal and for any normal sub-intuitionistic multigroup, the root (support) set of normal sub-sub-intuitionistic fuzzy multigroup is a normal sub-intuitionistic fuzzy group. Finally, it showed that under the isomorphism function between any two groups, the image of a normal sub-intuitionistic fuzzy multigroup under the isomorphism is a normal sub-intuitionistic fuzzy multigroup and the inverse image of a normal sub-intuitionistic fuzzy multigroup under the isomorphism is a normal sub-intuitionistic fuzzy multigroup.

REFERENCES

1. W.D.Blizard, Dedekind multisets and functions shells, Theoret. Computer Science, 110 (1993) 79-98.

2. W.D.Blizard, Multiset theory, Notre Dame J. Form. Log., 30(1) (1989) 36-66. 3. A.Asyropoulos, Mathematics of Multisets, C.S.Calude et al. (Eds.): Multiset

Processing, LNCS, 347-358, 2001.

4. A.Asyropoulos, Categorical modeels of multisets, Romanain Journal of Information

Science and Technology, 6(3-4) (2003) 393-400.

(13)

139

6. K.T.Atanassov, Intuitionistic fuzzy sets, VII ITKRs Session,Sofia (deposed inCentral Science-Technical Library of BulgarianAccademy of Science, 1697/84), 1983(in Bulgarian)

7. K.T.Atannassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986) 87-96. 8. G.Takeuti and S.Ttani, Intuitionistic fuzzy logic and intuitionistic fuzzy set theory, J.

Symbolic Logic, 49 (1984) 851-866.

9. R.R.Yager, On theory of bags, Intertional Journal of General Systems, 13 (1986) 23-27.

10. T.K.Shinoj and J.J.Sunil, Intuitionistic fuzzy multisets, International Journal

Engineering Science and Innovative Technology, 2(6) (2013) 1-24.

11. T.K.Shinoj, A.Baby and J.J.Sunil, On some algebraic structures of fuzzy multisets,

Annals of Fuzzy Mathematics and Informatics, 9(1) (2015) 77-90.

12. I.M.Adamu, Y.Tella and A.J.Alkali, On normal and soft normal groups under multisets and soft multisets context, MAYFEB Journal of Mathematics, 2(2017) 34-4. 13. S.P.Jena, S.K.Ghosh and B.K.Tripathi, On theory of bags and lists, Information

Sciences, 132 (2011) 241-254.

14. S.K.Nazmul, P.Majumdar and S.K.Samanta, On multisets and multigroups, Annals

Fuzzy Mathematics and Informatics, 6(3) (2013) 643-656.

15. B.Sumita, Classical Sets and Non-Classical Sets: An Overview, Resonance, 10(8) (2005).

16. J.N.Mordeson, K.R.Bhutani and A.Rosenfeld, Fuzzy Group Theory, Springer, 2005. 17. T.K.Shinoj and S.J.John, Intuitionistic fuzzy multigroups, Annals of Pure and

References

Related documents

5.5 Transition of ships currently registered to the proposed modified shipping register. In the proposed modified shipping register, only ships which may fully

choice was the artillery since anti-tank warfare had been the business of artillerymen. 38 After the creation of the Tank Destroyer Battalions, organic anti-tank units still

A review of the literature has shown that a common approach to teaching reduced forms involves using an explicit teacher-centered approach that includes listening comprehension

We examined the relationship between biological aging (carbonyl accumulation) and the microbiota in various ways: (1) we performed distance-based linear model (DistLM) on the top

Ilona Szwedziak-Bork (PhD candidate, Faculty of Management, University of Warsaw) considered the question ‘How much of a   consumer is in the prosumer in the light of the law

Table 2 Differences in physical activity, ultrasound bone density parameters, and lung function between normal weight, underweight, and overweight participants (Student's

Studies published since 2005 have demonstrated improved outcome from out-of-hospital cardiac arrest, particularly from shockable rhythms, and have reaffirmed the importance of

The utilization of web 2.0 technologies for distance learners is more useful than conventional methods. There is a significant difference between the pretest posttest