Прегледај по Аутор "Pamucar, Dragan"

Сада се приказује 1 - 4 од 4
  • Сличица
    Ставка
    AN INTEGRATED FUCOM-RAFSI MODEL FOR ASSESSING THE POTENTIAL OF A NEW GATEWAY PORT IN LIBYA FOR SOME AFRICAN LANDLOCKED COUNTRIES
    (2022) Pamucar, Dragan; Badi, Ibrahim; Stevic, Zeljko
    The present paper aims at suggesting a multi-criteria decision-making model that would help in making the appropriate decision regarding the selection of the best gateway port for landlocked countries. There are 44 landlocked countries around the world, which do not have a seaport directly linked to the rest of the world. Sixteen of these countries are located in Africa, making it weak to compete in the global market, in addition to the high costs of its imports. The model proposed in this paper was applied to two landlocked countries in the African continent: Chad and Niger. The paper proposed 8 evaluation criteria related to evaluating the ports themselves in terms of infrastructure and services tariffs, as well as to the level of safety and the transport infrastructure from the transit country to the landlocked one. The Full Consistency Method (FUCOM) was used for the purpose of evaluating such criteria, and the number of navigation lines was the most important one. Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI) method was used for the purpose of comparing 6 ports to conclude that the Misurata seaport is the best alternative
  • Сличица
    Ставка
    Bi-Level Multi-Objective Production Planning Problem with Multi-Choice Parameters: A Fuzzy Goal Programming Algorithm
    (MDPI, 2019) Kamal, Murshid; Gupta, Srikant; Chatterjee, Prasenjit; Pamucar, Dragan; Stević, Željko
    This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the cofficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based on a binary variable has been used to transform the multi-choices parameters of the problem into their equivalent deterministic form. Finally, two different types of secularization technique have been used to achieve the maximum degree of individually membership goals by minimizing their deviational variables and obtained the most satisfactory solution of the formulated problem. An illustrative real case study of production planning has been discussed and, also compared to validate the efficiency and usefulness of the proposed work.
  • Сличица
    Ставка
    Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)
    (MDPI, 2021) Jakovljevic, Vladimir; Zizovic, Mališa; Pamucar, Dragan; Stević, Željko; Albijanic, Miloljub
    Multi-criteria decision-making methods (MCDM) represent a very powerful tool for making decisions in different areas. Making a rational and reliable decision, while respecting different factors, is a challenging and difficult task; MCDM models have a great impact on achieving this goal. In this paper, a new MCDM technique is presented—ranking alternatives by defining relations between the ideal and anti-ideal alternative (RADERIA), which was tested for the evaluation of human resources (HR) in a transportation company. The RADERIA model has three key advantages that recommend it for future use: (1) the RADERIA model has a new approach for data normalization that enables defining the normalization interval according to the judgments of a decision-maker; (2) an adaptive model for data normalization of the RADERIA model allows tough conversion into various forms of decreasing functions (linear, quadratic equation, etc.); and (3) the resistance of the RADERIA model to the rank reversal problem. Furthermore, in many simulations, the RADERIA method has shown stability when processing a larger number of datasets. This was also confirmed by a case study with 36 alternatives, as considered in this paper. The results and verification of the proposed new method were acquired through a comprehensive verification of the complexity of the results. The complexity of the results was executed through (1) comparison with four other multi-criteria methods, (2) checking the resistance of the RADERIA model to the rank reversal problem, and (3) the analysis of the impact of changes in the measurement scale on the ranking results.
  • Сличица
    Ставка
    Green Strategies in Mobility Planning Towards Climate Change Adaption of Urban Areas Using Fuzzy 2D Algorithm
    (Elsevier, 2022) Pamucar, Dragan; Deveci, Muhammet; Stević, Željko; Gokasar, Ilgin; Isik, Mehtap; Coffman, D'Maris
    Urban mobility planning must urgently confront the challenges attendant to the low carbon transition and green transformation. The necessary paradigm shift from the traditional approaches to embracing environmental sustainability requires maintaining a firm and stable balancing act between opposing forces. The policy-making process in the transition period is complex and requires a detailed analysis that the academic literature lacks. This study analyzes the decision-making process for urban mobility planning to contribute the academic literature on sustainable transitions. In order to illustrate the complexities in the decision-making process, we design an original case scenario. In the case, the planners are supposed to choose the best project from among four recent green strategies. In the process, they need to take the conflicting requirements on the social, economic, environmental and technical issues into account. Sixteen constraints reflect the available physical and financial conditions. Because the decision-making process includes complexities, a novel two-stages model is introduced in the method that is used to solve the problem. In the first stage, the fuzzy D PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) algorithm is applied to determine the weights. In the second stage, the fuzzy D Dombi (fuzzy 2D) algorithm is proposed to evaluate the alternatives. The results show that societal dynamics are crucially important in choosing the best alternative. Among four alternatives, the one that is inclusive and makes the existing investments more efficient is highly prioritized. Our findings offer policy implications emphasizing the importance of green mobility projects that favors the social benefits as well as financial issues.