مرور Volume 1, Issue 4 بر اساس تاریخ انتشار

  • To Study the Effect of Combined Learning on Students' Educational Achievement in Mathematics 

    Nikandish, Mahboubeh؛ Rezghi Shirsavar, Hadi (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    The main purpose of this research is "to study the effect of combined learning on students'educational achievement at girls' technical schools in Tehran". The research method in thisstudy is semi-experimental ...

  • A New Continuous Multi-State Reliability Model with Time Dependent Component Performance Rate 

    Shahriari, M.r.؛ Sharifi, M.؛ Naser Khaki, S. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    A CSS1†is a system with the continues-state components. When a component has the ability to obtain all the situations from completely working to completely failed, it named continues-state component. In the real world, ...

  • A path-following feasible interior-point algorithm for mixed symmetric cone linear complementarity problems 

    Zangiabadi, M.؛ Mansouri, H.؛ Pirhaji, M. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    In this paper, we propose a feasible interior-point algorithm for mixed symmetric cone linear complementarity problems which are a general class of complementarity problems. The symmetrization of the search directions used ...

  • Revisit ordering on L-R fuzzy numbers and its application in fuzzy mathematical programming 

    Darban Jafaria, E.؛ Chameh, R.؛ Nasseri, S.H. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    Ordering on fuzzy quantities have been attracted a wide domains of studies in fuzzy sets theory in the two last decades. In many practical situations as well as fuzzy mathematical programming, it is necessary to the decision ...

  • A Method for Target Setting with Share Data 

    Rahmani Parchkolaei, B.؛ Moghaddas, Z. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    Data Envelopment Analysis (DEA) is a mathematical programming technique for evaluatingthe relative efficiency of a set of Decision Making Units (DMUs) and can also be utilized forsetting target. Target setting ...

  • Studying the Impact of Deferred Debts on Bank Performance by Using Data Envelopment Analysis 

    Gholam Abri, A. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    Performance evaluation has always been a challenging issue in management.The evaluation of performance especially during two past decades has attracted much attention because of its importance. Today, organizations try to ...

  • An Effective Algorithm in order to solve the Capacitated Clustering Problem 

    Mahmoodi Darani, N.؛ Bassiri, P.؛ Yousefikhoshbakht, M. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    The capacitated clustering problem (CCP) is a data mining technique utilized to categorize a number of objects with known demands into k distinct clusters such that the capacity of each cluster is not violated, every object ...

  • Using Neural Network to Determine Input Excesses, Output Shortfalls and Efficiency of Dmus in Russell Mode 

    Modhej, D.؛ Sanei, M.؛ Shoja, N. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    Data Envelopment Analysis (DEA) has two fundamental approaches for assessing theefficiency with different characteristics; radial and non-radial models. This paper isconcerned the non-radial model of Russell ...

  • A Primal Simplex Algorithm for Solving Linear Programming Problem with Grey Cost Coefficients 

    Nasseri, S.H.؛ Yazdani, A.؛ Darvishi Salokolaei, D. (Science and Research Branch, Islamic Azad Universityدانشگاه آزاد اسلامی واحد علوم و تحقیقات, 2016-02-01)
    an extension of the classical linear programming problem to an inexact environment as wellas fuzzy and stochastic environment. Hence, here a new approach for solving interval greynumber linear programming ...