Прегледај по Аутор "Stanković, Miomir"

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    A New Fuzzy MARCOS Method for Road Tra c Risk Analysis
    (MDPI, 2020) Stanković, Miomir; Stević, Željko; Kumar Das, Dillip; Subotić, Marko; Pamučar, Dragan
    In this paper, a new fuzzy multi-criteria decision-making model for tra c risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.
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    Development of a Model for Evaluating the Efficiency of Transport Companies: PCA–DEA–MCDM Model
    (MDPI, 2022) Stević, Željko; Miškić, Smiljka; Vojinović, Dragan; Huskanović, Eldina; Stanković, Miomir; Pamučar, Dragan
    The efficiency of transport companies is a very important factor for the companies themselves, as well as for the entire economic system. The main goal of this paper is to develop an integrated model for determining the efficiency of representative transport companies over a period of eight years. An original model was developed that includes the integration of DEA (Data Envelopment Analysis), PCA (Principal Component Analysis), CRITIC (Criteria Importance Through Inter criteria Correlatio), Entropy and MARCOS (Measurement Alternatives and Ranking according to the COmpromise Solution) methods in order to determine the final efficiency of transport companies based on 10 input–output parameters. The results showed that the most efficient business performance was achieved in the period 2014–2017, followed by slightly less efficient results. Then, extensive sensitivity analysis and comparative analysis were performed, which confirmed, to some extent, the previously obtained results. In the sensitivity analysis, 30 scenarios with changes in the weights of criteria were created, while the comparative analysis was carried out with three other MCDM (Multi-Criteria Decision-Making) methods. Finally, the rank correlation index was determined using the Spearman and WS (Wojciech Salabun) correlation coefficients. According to the final results, very efficient years can be separated that can be the benchmark for furthering the business
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    Natural Test for Random Numbers Generator Based on Exponential Distribution
    (MDPI, 2019) Tanackov, Ilija; Sinani, Feta; Stanković, Miomir; Bogdanović, Vuk; Stević, Željko; Vidić, Mladen; Mihaljev-Martinov, Jelena
    We will prove that when uniformly distributed random numbers are sorted by value, their successive di erences are a exponentially distributed random variable Ex( ). For a set of n random numbers, the parameters of mathematical expectation and standard deviation is = n􀀀1. The theorem was verified on four series of 200 sets of 101 random numbers each. The first series was obtained on the basis of decimals of the constant e = 2.718281 : : : , the second on the decimals of the constant = 3.141592 : : : , the third on a Pseudo Random Number generated from Excel function RAND, and the fourth series of True Random Number generated from atmospheric noise. The obtained results confirm the application of the derived theorem in practice.