In this paper, we propose a novel generalization for one parameter inverse Lindley distribution to fitting monotonically descending data named the T-ILD{Y} distribution class , T is one parameter inverse exponential distribution , R has an one parameter inverse Lindley distribution , and the variable Y is one parameter exponential distribution, the resulting distribution is inverse exponential- inverse Lindley- exponential (IEILDE). The theory of fuzzy sets are used by converting the distribution to fuzzy by using a fuzzy triangular distribution based on the quantile function (FIEILE), the maximum likelihood , and the maximum likelihood, and the maximum product spacing method were used estimate the parameters of the distribution. We conclude that at cutoff α=0.1, ML is better than the MPS, and at cutoff coefficients α=0.3, 0.5, 0.7, MPS was better than the ML, The higher the cutoff, the better the maximum likelihood method.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110201
Vol. 11 Issue. 2 PP. 01-14, (2024)
In this paper, we find the Wiener polynomial of multi-circles of Paraffin structural. We prove that this obtained formula is better than the formulas, which are previously presented. Also, we evaluate the coefficients for any limited power of without depending on the number of circles, and we find the Wiener index and average distance for this structural. On the other hand, we build a MATLAB program to evaluate the Wiener polynomial coefficient, Wiener index, and average distance.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110202
Vol. 11 Issue. 2 PP. 15-21, (2024)
In this paper, we study the diagonalization problem of weak fuzzy complex matrices. To solve this problem we build a special algebraic isomorphism between the ring of weak fuzzy complex matrices and the direct product of the classical ring of real-entries matrices with itself, then we use it to solve the diagonalization problem by using the classical diagonalization problem for real matrices with the inverse isomorphism formula. Also, we illustrate many examples to explain the validity of our method.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110203
Vol. 11 Issue. 2 PP. 22-27, (2024)
This paper is dedicated to finding all 4-cyclic refined neutrosophic real solutions of the equation ππ=1 which are called 4-cyclic refined real roots of unity. Also, we classify the algebraic group of these solutions as a direct product of some familiar finite cyclic groups. On the other hand, we illustrate many examples to clarify the validity of our work.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110204
Vol. 11 Issue. 2 PP. 28-36, (2024)
This paper is dedicated to studying the group of units problem of the non-commutative logical extension of two different rings ππ and π2π, where we classify the group of units of these rings as semi-direct products of well-known abelian groups as follows: π(ππΆπ )ππ≅ππ−1∝(ππ∝ππ−1) π(ππΆπ )2π≅(π2×π2π−2)β(π2πβ(π2×π2π−2)).
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110205
Vol. 11 Issue. 2 PP. 37-43, (2024)
This work is dedicated to studying the problem of computing 2-cyclic refined neutrosophic duplets and triplets in the 2-cyclic refined neutrosophic ring of real numbers, where we present four different formulas that describe all possible duplets in this extended ring. Also, we present four different formulas for the computation of related triplets in the same ring.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110206
Vol. 11 Issue. 2 PP. 44-49, (2024)
A proper vertex coloring of a graph πΊ(π,πΈ) is an assignment of colors to the vertices of πΊ so that no two adjacent vertices have the same color. A dominator coloring of πΊ is a proper vertex coloring for which every vertex is adjacent to all the vertices of at least one color class. The minimum number of colors required to establish a proper dominator coloring on πΊ is called the dominator coloring number and is denoted by ππ(πΊ). In this paper, we determine the dominator coloring number of strong grid graphs ππβ ππ when π,π≥3. We also determine the dominator coloring number of the Queen graph π2,π for π≥2.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110207
Vol. 11 Issue. 2 PP. 50-59, (2024)
An irreversible k-threshold conversion process on a graph πΊ=(π,πΈ) is a dynamic, iterative process which begins by choosing a set π0⊆π. For each step π‘(π‘=1,2,…,), ππ‘ is obtained from ππ‘−1 by adjoining all vertices that have at least k neighbors in ππ‘−1. We call π0 the seed set of the k-threshold conversion process and if ππ‘=π(πΊ) for some π‘≥0, then π0 is called an irreversible k-threshold conversion set (IkCS) of πΊ. The k-threshold conversion number of πΊ (denoted by (πΆπ(πΊ)) is the minimum cardinality of all the IkCSs of πΊ. In this paper, we study Irreversible k-threshold conversion processes on strong grids ππβ ππ. We determine πΆπ(π3β ππ) for π=5,6,7 and πΆπ(π4β ππ) for π=6,7. We also present upper bounds for πΆ4(π3β ππ), πΆ4(π4β ππ),πΆ5(π3β ππ), then we determine πΆ8(ππβ ππ) for arbitrary π,π.
Read MoreDoi: https://doi.org/10.54216/GJMSA.0110208
Vol. 11 Issue. 2 PP. 60-72, (2024)