Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Operation Research
1. Sensitivity Analysis in Linear-Plus-Linear Fractional Programming Problems

B Kheirfam

Volume 1, Issue 1 , Winter 2009, , Pages 1-10

  In this paper, we study the classical sensitivity analysis when the right - hand – side vector, and the coefficients of the objective function are allowed to vary.   Read More

Mathematical Engineering
2. Risk Assessment of Investments with Fuzzy Efficiency Indicators for Oil and Gas Production Industry

Ali Zebardast; Kiumars Shahbazi; Amir Amini

Volume 8, Issue 1 , Spring 2016, , Pages 1-7

  In the process of investment decision making, next to financial indicators many other aspects of investment projects are increasingly often considered. This leads to the multi-criteria evaluation of a project. The advantage of multi-criteria methods is the ability to take into account all (not only financial) ...  Read More

linear Programming
3. Distance Management of SMEs Using ICT Solutions

Zdzislaw Polkowski; Malgorzata Nycz

Volume 9, Issue 1 , Spring 2017, , Pages 1-12

  The paper contains a description of a research conducted in collaboration with some Erasmus for Young Entrepreneurs program Romanian students, concerning the use and implementation of ICT (Information and Telecommunication Technology), especially in distance managing Small and Medium Enterprises (SMEs). ...  Read More

Stochastics Problems
4. A Stochastic Model for Water Resources Management

Salim Bavandi; Hadi Nasseri

Volume 10, Issue 1 , Spring 2018, , Pages 1-7

  Irrigation water management is crucial for agricultural production and livelihood security in many regions and countries throughout the world. Over the past decades, controversial and conflictladen water-allocation issues among competing municipal, industrial and agricultural interests have raised increasing ...  Read More

Data Envelopment Analysis
5. A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis

Masomeh Abbasi; Abbas Ghomashi

Volume 11, Issue 1 , Spring 2019, , Pages 1-7

  In this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense ...  Read More

Data Envelopment Analysis
6. How to Target Balanced Scorecard Indicators in a DEA-BSC Integrated Model

Mohammad Fallah; Esmaeil Najafi

Volume 12, Issue 1 , Spring 2020, , Pages 1-9

  Performance measurement is always one of the most important tasks of managers, so knowledge management is measurement knowledge, and if we can measure something, we can no doubt control it, and therefore we cannot manage it. In this paper, according to the Malmquist productivity index, an index is used ...  Read More

Operation Research
7. Solution of fuzzy differential equations under generalized differentiability by Adomian decomposition method

T. Allahviranloo; L. Jamshidi

Volume 1, Issue 2 , Summer 2009, , Pages 39-53

  Adomian decomposition method has been applied to solve many functional equations so far. In this article, we have used this method to solve the fuzzy differential equation under generalized differentiability. We interpret a fuzzy differential equation by using the strongly generalized differentiability. ...  Read More

Data Envelopment Analysis
8. An Integrated DEA and Data Mining Approach for Performance Assessment

Alireza Alinezhad

Volume 8, Issue 2 , Autumn 2016, , Pages 59-69

  This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes ...  Read More

Operation Research
9. The impact of organizational innovation through innovation capabilities in ‎process and product on the performance of manufacturing firms

Hojjat Sofalchian Farhang; Hossein Alizad Abkenari; Mehdi Fadaei

Volume 10, Issue 2 , Autumn 2018, , Pages 75-80

  Abstract Innovation is considered as a critical factor for organizations to create value and ‎sustainable competitive advantage in today's complex and changing environment. ‎Organizations with more innovation, in response to the changing environments and ‎creating development of new capabilities ...  Read More

10. Well- posedness of the Rothe difference scheme for reverse parabolic equations

Allaberen Ashyralyev; Ayfer Dural; Yaşar Sözen

Volume 2, Issue 1 , Winter 2010, , Pages 77-99

   We consider the Rothe difference scheme for approximate solution of the abstract parabolic equation in a Hilbert space with the nonlocal boundary condition. Theorems on stability estimates, coercivity and almost coercivity estimates for the solution of this difference scheme are established. In ...  Read More

Data Envelopment Analysis
11. Merging DMUs Based on of the idea Inverse DEA

Elaheh Zeinodin; Saeid Ghobadi

Volume 11, Issue 2 , Autumn 2019, , Pages 77-84

  In this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a predefined efficiency target, how ...  Read More

Data Envelopment Analysis
12. Common weights determination in data envelopment analysis

Alireza Amirteimoori; Sohrab Kordrostami

Volume 3, Issue 1 , Winter 2011, , Pages 159-171

  In models of data envelopment analysis (DEA), an optimal set of weights is generally assumed to represent the assessed decision making unit (DMU) in the best light in comparison to all the other DMUs, and so there is an optimal set of weights corresponding to each DMU. The present paper, proposes a three ...  Read More

Data Envelopment Analysis
13. The interval Malmquist productivity index in DEA

F. Rezai Balf; F. Hosseinzadeh Lotfi; M. Alizadeh Afrouzi

Volume 4, Issue 1 , Winter 2012, , Pages 272-281

  One of the most popular approaches to measuring productivity changes is based on using Malmquist productivity indexes. In this paper we propose a method for obtaining interval Malmquist productivity index (IMPI). The classical DEA models have been before used for measuring the Malmquist ...  Read More

14. Convex Surface Visualization Using Rational Bi- cubic Function

Malik Zawwar Hussain; Fareeha Saadia; Maria Hussain

Volume 5, Issue 1 , Winter 2013, , Pages 361-383

  The rational cubic function with three parameters has been extended to rational bi-cubic function to visualize the shape of regular convex surface data. The rational bi-cubic function involves six parameters in each rectangular patch. Data dependent constraints are derived on four of these parameters ...  Read More

Data Envelopment Analysis
15. A statistical test for outlier identification in data envelopment analysis

Morteza Khodabin; Reza Kazemi Matin

Volume 6, Issue 1 , Winter 2014, , Pages 678-690

  In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with ...  Read More

Numerical Analysis

A. Ghanizadeh; N. Parandin

Volume 6, Issue 2 , Summer 2014, , Pages 730-736

  In this paper, we propose a new method for fuzzy numbers. In this method, we assume that Ai= (ai1, ai2, ai3, ai4) is to be a fuzzy number. So, the convex combination of ai1 and ai2 and also the convex combination of ai3 and ai4 are obtained separately. Then, Mic and Mis that are to be the convex combinations ...  Read More

Numerical Analysis
17. A method to obtain the best uniform polynomial approximation for the family of rational function

M. A. Fariborzi Araghi; F. Froozanfar

Volume 7, Issue 1 , Spring 2015, , Pages 753-766

  In this article, by using Chebyshev’s polynomials and Chebyshev’s expansion, we obtain the best uniform polynomial approximation out of P2n to a class of rational functions of the form (ax2+c)-1 on any non symmetric interval [d,e]. Using the obtained approximation, we provide the best ...  Read More

Data Envelopment Analysis
18. Supplier selection among alternative scenarios by Data envelopment analysis

Mohsen Vaez-Ghasemi

Volume 7, Issue 2 , Autumn 2015, , Pages 815-821

  A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, ...  Read More

Data Envelopment Analysis
19. Ranking efficient DMUs using the variation coefficient of weights in DEA

Mojtaba Ziari; Shokrollah Ziari

Volume 8, Issue 1 , Spring 2016, , Pages 9-16

  One of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient ...  Read More

Data Envelopment Analysis
20. Performance Evaluation of Supply Chain under Decentralized Organization Mechanism

Alireza Alinezhad

Volume 10, Issue 1 , Spring 2018, , Pages 9-17

  Abstract Nowadays among many evaluation methods, data envelopment analysis has widely used to evaluate the relative performance of a set of Decision Making Units (DMUs). Data Envelopment Analysis (DEA(is a mathematical tool for evaluating the relative efficiency of a set Decision Making Units (DMUs), ...  Read More

Non linear Programming
21. Comparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems

Hossein Towsyfyan; Amin Kolahdooz; Hazem Esmaeel; Shahed Mohammadi

Volume 11, Issue 1 , Spring 2019, , Pages 9-16

  Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem ...  Read More

Operation Research
22. Variational Iteration Method for Fredholm integral equations of the second kind

J. Biazar; H. Ebrahimi

Volume 1, Issue 1 , Winter 2009, , Pages 11-17

  In this paper, He‘s variational iteration method is applied to Fredholm integral equations of the second kind. To illustrate the ability and simplicity of the method, some examples are provided. The results reveal that the proposed method is very effective and simple and for first fourth examples ...  Read More

Data Envelopment Analysis
23. An Analysis of the COVID-19 Contagion Growth in European Countries

Hadi Shirouyehzad; Javid Jouzdani; Mazdak Khodadadi-Karimvand

Volume 12, Issue 1 , Spring 2020, , Pages 11-19

  The COVID-19 pandemic has affected many people around the globe. Europe, as one of the most seriously affected continents, has been struggling with the novel coronavirus for several months. Obviously, outbreak response management plays a critical role in the impact of the disease. Therefore, in this ...  Read More

Data Envelopment Analysis
24. An approach to rank efficient DMUs in DEA based on combining Manhattan and infinity norms

Shokrollah Ziari; Manaf Sharifzadeh

Volume 9, Issue 1 , Spring 2017, , Pages 13-19

  In many applications, discrimination among decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA). The DEA models unable to discriminate between extremely efficient DMUs. Hence, there is a growing interest in improving discrimination ...  Read More

Operation Research
25. The Use of Semi Inherited LU Factorization of Matrices in Interpolation of Data

Mohammad Ali Fariborzi Araghi; Amir Fallahzadeh

Volume 1, Issue 2 , Summer 2009, , Pages 54-66

  The polynomial interpolation in one dimensional space R is an important method to approximate the functions. The Lagrange and Newton methods are two well known types of interpolations. In this work, we describe the semi inherited interpolation for approximating the values of a function. In this case, ...  Read More