**Volume 55 (2023)**

**Volume 54 (2022)**

**Volume 53 (2021)**

**Volume 52 (2020)**

**Volume 51 (2019)**

**Volume 50 (2018)**

**Volume 49 (2017)**

**Volume 48 (2016)**

**Volume 47 (2016)**

**Volume 46 (2015)**

**Volume 45 (2014)**

**Volume 44 (2013)**

**Volume 43 (2009)**

**Volume 42 (2008)**

**Volume 41 (2007)**

Number of Articles: 10

##### $Z_k$-Magic Labeling of Some Families of Graphs

*Volume 50, issue 2 , December 2018, Pages 1-12*

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**Abstract **

For any non-trivial abelian group A under addition a graph $G$ is said to be $A$-\textit{magic} if there exists a labeling $f:E(G) \rightarrow A-\{0\}$ such that, the vertex labeling $f^+$ defined as $f^+(v) = \sum f(uv)$ taken over all edges $uv$ incident at $v$ is a constant. An $A$-\textit{magic} ...
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##### Linear programming on SS-fuzzy inequality constrained problems

*Volume 50, issue 2 , December 2018, Pages 13-36*

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**Abstract **

In this paper, a linear optimization problem is investigated whose constraints are defined with fuzzy relational inequality. These constraints are formed as the intersection of two inequality fuzzy systems and Schweizer-Sklar family of t-norms. Schweizer-Sklar family of t-norms is a parametric family ...
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##### Snakes and Caterpillars in Graceful Graphs

*Volume 50, issue 2 , December 2018, Pages 37-47*

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**Abstract **

Graceful labelings use a prominent place among difference vertex labelings. In this work we present new families of graceful graphs all of them obtained applying a general substitution result. This substitution is applied here to replace some paths with some trees with a more complex structures. Two ...
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##### $4$-Total prime cordial labeling of some cycle related graphs

*Volume 50, issue 2 , December 2018, Pages 49-57*

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**Abstract **

Let $G$ be a $(p,q)$ graph. Let $f:V(G)\to\{1,2, \ldots, k\}$ be a map where $k \in \mathbb{N}$ and $k>1$. For each edge $uv$, assign the label $\gcd(f(u),f(v))$. $f$ is called $k$-Total prime cordial labeling of $G$ if $\left|t_{f}(i)-t_{f}(j)\right|\leq 1$, $i,j \in \{1,2, \cdots,k\}$ where $t_{f}(x)$ ...
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##### LP problems constrained with D-FRIs

*Volume 50, issue 2 , December 2018, Pages 59-79*

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**Abstract **

In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated where the feasible region is formed as the intersection of two inequality fuzzy systems and Dombi family of t-norms is considered as fuzzy composition. Dombi family of t-norms includes ...
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##### Tenacity and some other Parameters of Interval Graphs can be computed in polynomial time

*Volume 50, issue 2 , December 2018, Pages 81-87*

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**Abstract **

In general, computation of graph vulnerability parameters is NP-complete. In past, some algorithms were introduced to prove that computation of toughness, scattering number, integrity and weighted integrity parameters of interval graphs are polynomial.
In this paper, two different vulnerability parameters ...
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##### Inverse eigenvalue problem for matrices whose graph is a banana tree

*Volume 50, issue 2 , December 2018, Pages 89-101*

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**Abstract **

In this paper, we consider an inverse eigenvalue problem (IEP) for constructing a special kind of acyclic matrices. The problem involves the reconstruction of matrices whose graph is a banana tree. This is performed by using the minimal and maximal eigenvalues of all ...
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##### Minimizing the Number of Tardy Jobs on Single Machine Scheduling with Flexible Maintenance Time

*Volume 50, issue 2 , December 2018, Pages 103-119*

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**Abstract **

In this study, single machine scheduling with flexible maintenance is investigated with non-resumable jobs by minimizing the weighted number of tardy jobs. It is assumed that the machine stops for a constant interval time during the scheduling period to perform maintenance. In other words, the starting ...
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##### Sign Test for Fuzzy Random Variables

*Volume 50, issue 2 , December 2018, Pages 121-139*

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**Abstract **

This paper extends the sign test to the case where data are observations of fuzzy random variables, and the hypotheses are imprecise rather than crisp. In this approach, first a new notion of fuzzy random variables is introduced. Then, the $\alpha$-level sets of the imprecise observations are transacted ...
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##### Changes in Artificial Neural Network Learning Parameters and Their Impact on Modeling Error Reduction

*Volume 50, issue 2 , December 2018, Pages 141-155*