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  • List of Articles


      • Open Access Article

        1 - Upgrading inefficient decision making units (with negative data) towards common weights (using DEA)
        حسین عباسیان
        The main purpose of this paper is to upgrade and improve inefficient units by common weights obtained from all units studied. In fact, we consider the common weight vector as the direction in which inefficient units rise. The methodology of this research is to consider More
        The main purpose of this paper is to upgrade and improve inefficient units by common weights obtained from all units studied. In fact, we consider the common weight vector as the direction in which inefficient units rise. The methodology of this research is to consider the semi-essential radial model and we want to use the duality of this model to find the common weights of inputs and outputs, some of which are negative. For this purpose, we present a multi-objective problem of generating common weights and use ideal programming to solve it, which leads to the production of a nonlinear problem, which for this particular problem, by a linearization method, is called We turn a linear programming problem. Since the necessary and sufficient condition for the boundary of the semi-essential radial model in the nature of input (output) is that there is an input (output) with at least one positive value, so we observe this condition here. Finally, we will explain our method with an example and the remarkable thing about the promotion method in the present study is that negative data is promoted and improved as negative data. Manuscript profile
      • Open Access Article

        2 - Evaluation of the Performance in Dynamic Network Data Envelopment Analysis with Undesirable Outputs
        محمد نجاری الموتی رضا کاظمی متین محسن خون سیاوش زهره مقدس
        Data Envelopment Analysis (DEA) is a mathematical technique to assess the performance of Decision Making Units (DMUs) with similar inputs and outputs. The traditional DEA models disregard the internal structure of units and have a “black box” view. Thus, to More
        Data Envelopment Analysis (DEA) is a mathematical technique to assess the performance of Decision Making Units (DMUs) with similar inputs and outputs. The traditional DEA models disregard the internal structure of units and have a “black box” view. Thus, to evaluate the structures with more than one stage, the network DEA (NDEA) models expanded. On the other hand, the dynamic optimization models have been presented to eliminate the limitations of static models in optimization. In the article, for the first time, a systematic approach is used to present a dynamic NDEA with constant inputs and undesirable outputs. First, we used an axiomatic approach in DEA with undesirable output and presented an NDEA model with undesirable output. Then, we extended the proposed approach and presented a dynamic NDEA with undesirable output and a constant input. Afterward, we applied this model to evaluate hospitals’ performance in an experimental study to estimate the efficiency of their dynamic network. Manuscript profile
      • Open Access Article

        3 - Use whale algorithm and neighborhood search metaheuristics with fuzzy values to solve the location problem
        مهدی فضلی فرزین مدرس خیابانی بهروز دانشیان
        In this paper, a facility location model with fuzzy value parameters based on the meta-heuristic method is investigated and solved. The proposed method and model uses fuzzy values to investigate and solve the problem of location allocation. The hypotheses of the problem More
        In this paper, a facility location model with fuzzy value parameters based on the meta-heuristic method is investigated and solved. The proposed method and model uses fuzzy values to investigate and solve the problem of location allocation. The hypotheses of the problem in question are considered as fuzzy random variables and the capacity of each facility is assumed to be unlimited. This article covers a modern, nature-inspired method called the whale algorithm and the neighborhood search method. The proposed method and related algorithm are tested with practical optimization problems and modeling problems. To evaluate the efficiency and performance of the proposed method, we apply this method to our location models in which fuzzy coefficients are used. The results of numerical optimization show that the proposed method performs better than conventional methods. Manuscript profile
      • Open Access Article

        4 - Analysis for Quadrupled Fixed Point of Contractive-Type Multi-Valued Operators
        Samuel Aniki
        This work considered the existence, uniqueness and data dependence of quadrupled fixed point theorems for contractions in metric spaces, equipped with vector-valued metrics whose approach is primarily based on Perov-type fixed point of contractive-type multi-valued mapp More
        This work considered the existence, uniqueness and data dependence of quadrupled fixed point theorems for contractions in metric spaces, equipped with vector-valued metrics whose approach is primarily based on Perov-type fixed point of contractive-type multi-valued mapping in Cauchy spaces. This work obtained results that complement recent and available results in literature. Manuscript profile
      • Open Access Article

        5 - Resonant solitons solutions to the time M-fractional Schrödinger equation
        موسی ایلی علی خوش کنار
        In this research the time M-fractional resonant nonlinear Schrödinger differential equation with different forms of nonlinearities, containing Kerr-law and parabolic-law has been studied. For this objective, the modified Kudryashov method and the sine-Gordon expans More
        In this research the time M-fractional resonant nonlinear Schrödinger differential equation with different forms of nonlinearities, containing Kerr-law and parabolic-law has been studied. For this objective, the modified Kudryashov method and the sine-Gordon expansion approach have been implemented to retrieve a series of resonant solitons solutions for the abovementioned model. The prospective of the schemes in founding soliton solutions of nonlinear time-fractional equations in the truncated M-fractional derivative sense is confirmed. Manuscript profile
      • Open Access Article

        6 - Prioritization of the influential factors of corporate social responsibility in Iranian airline industry by CRITIC and COPRAS methods
        مهدی فدایی حامد غیب دوست
        Nowadays, corporate social responsibility (CSR) has a significant role in the airline industry. The purpose of the present paper is to prioritize the factors influencing CSR in the airline industry. The present study prioritizes the factors influencing CSR in Iran's air More
        Nowadays, corporate social responsibility (CSR) has a significant role in the airline industry. The purpose of the present paper is to prioritize the factors influencing CSR in the airline industry. The present study prioritizes the factors influencing CSR in Iran's airline industry by using criteria importance through inter-criteria correlation (CRITIC) and Complex proportional assessment (COPRAS) to find the best airline among five Iranian airlines in Iran in 2021. Factors influencing this study include 4 main criteria and 15 sub-criteria. The results show that energy consumption is the most influential factor among influence factors, and airline 3 obtained the first rank. The present study helps airline managers to improve the performance of CSR by influencing factors in the airline industry. Manuscript profile