Volume 14, Issue 1

 

ارسال های اخیر

  • COUNTING DISTINCT FUZZY SUBGROUPS OF SOME RANK-3 ABELIAN GROUPS 

    Appiah, Isaac K.؛ Makamba, B. B. (University of Sistan and Baluchestan, 2017-02-01)
    In this paper we classify fuzzy subgroups of a rank-3 abelian group $G = mathbb{Z}_{p^n} + mathbb{Z}_p + mathbb{Z}_p$ for any fixed prime $p$ and any positive integer $n$, using a natural equivalence relation given in ...

  • M-FUZZIFYING INTERVAL SPACES 

    Xiu, Zhen-Yu؛ Shi, Fu-Gui (University of Sistan and Baluchestan, 2017-02-01)
    In this paper,  we introduce  the notion of $M$-fuzzifying interval spaces, and discuss the relationship between $M$-fuzzifying interval spaces and $M$-fuzzifying convex structures.It is proved that  the category  ...

  • Probabilistic Normed Groups 

    Nourouzi, Kourosh؛ Pourmoslemi, Alireza (University of Sistan and Baluchestan, 2017-02-01)
    In this paper, we introduce the  probabilistic normed groups. Among other results, we investigate the continuityof inner automorphisms of a group and the continuity of left and right shifts in probabilistic group-norm. ...

  • Implications, coimplications and left semi-uninorms on a complete lattice 

    Wang, Yuan؛ Tang, Keming؛ Wang, Zhudeng (University of Sistan and Baluchestan, 2017-02-01)
    In this paper, we firstly show that the $N$-dual operation of the right residual implication, which is induced by a left-conjunctive right arbitrary $vee$-distributive left semi-uninorm, is the right residual coimplication ...

  • ON LOCAL HUDETZ g-ENTROPY 

    Rahimi, M. (University of Sistan and Baluchestan, 2017-02-01)
    In this paper, a local approach to the concept of Hudetz $g$-entropy is presented. The introduced concept is stated in terms of Hudetz $g$-entropy. This representation is based on the concept of $g$-ergodic decomposition ...

  • Support vector regression with random output variable and probabilistic constraints 

    Abaszade, Maryam؛ Effati, Sohrab (University of Sistan and Baluchestan, 2017-02-01)
    Support Vector Regression (SVR) solves regression problems based on the concept of Support Vector Machine (SVM). In this paper, a new model of SVR with probabilistic constraints is proposed that any of output data and bias ...

  • Soft Computing Based on a Modified MCDM Approach under Intuitionistic Fuzzy Sets 

    Shahriari, M. R. (University of Sistan and Baluchestan, 2017-02-01)
    The current study set to extend a new VIKOR method as a compromise ranking approach to solve multiple criteria decision-making (MCDM) problems through intuitionistic fuzzy analysis. Using compromise method in MCDM problems ...

  • Cover vol. 14, no. 1, February 2017 

    پدیدآور نامشخص (University of Sistan and Baluchestan, 2017-02-01)