Прегледај по Аутор "Badi, Ibrahim"
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- СтавкаA Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation(Librello Publishing House, 2024) Qiu, Yanjun; Bouraima, Mouhamed Bayane; Badi, Ibrahim; Stević, Željko; Simic, VladimirClimate change (CC) represents a paramount environmental challenge, necessitating the deployment of sustainable, low-carbon strategies particularly in developing regions such as Africa. This study introduces a novel decision-making framework aimed at enhancing the prioritization of policies to combat the adverse effects of CC. The proposed two-stage model employs the integration of Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) under spherical fuzzy (SF) conditions to address the strategic sequencing of sustainable policies. Initially, SF-SWARA is utilized to ascertain the relative significance of diverse criteria. Subsequently, the SF-WASPAS method ranks these policies, facilitating informed decision-making. The primary obstacles identified include limited institutional capacity, insufficient financial resources, and technological constraints, for which strategic alternatives are proposed. Moreover, rigorous sensitivity and comparative analyses affirm the model's applicability. By systematically delineating and prioritizing necessary policies, this study contributes significantly to the scholarly discourse on climate mitigation (CM) in an African context.
- СтавкаA Novel Hybrid Interval Rough SWARA–Interval Rough ARAS Model for Evaluation Strategies of Cleaner Production(MDPI, 2022) Tanackov, Ilija; Badi, Ibrahim; Stević, Željko; Pamučar, Dragan; Kazimieras Zavadskas, Edmundas; Bausys, RomualdasCleaner production is certainly a challenge of our everyday life, and a lot of effort and energy is required to achieve it. This paper has created a model of five strategies for cleaner production in Libyan industry, which have been evaluated on the basis of eight criteria. In order to determine the significance of the criteria, a novel interval rough SWARA (step-wise weight assessment ratio analysis) method has been developed, which takes into account the preferences of decision-makers (DMs) by applying interval rough numbers. A novel interval rough ARAS (additive ratio assessment) method has been developed for the evaluation and selection of the most favorable strategy for cleaner production. The integration of the developed methods has yielded results showing that the first strategy, launching awareness-raising campaigns to publicize these policies, represents the most realistic and best current solution to achieve cleaner production in Libyan industry. A comparative analysis with some existing interval rough methodologies has been presented to verify the superiority of the proposed model. In addition, in a sensitivity analysis, the weight of the most significant criterion has been changed.
- СтавкаAN 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, ZeljkoThe 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
- СтавкаAn Intelligent Fuzzy MCDM Model Based on D and Z Numbers for Paver Selection: IMF D-SWARA—Fuzzy ARAS-Z Model(MDPI, 2023) Jovanović, Stanislav; Kazimieras Zavadskas, Edmundas; Stević, Željko; Marinković, Milan; Alrasheedi, Adel F.; Badi, IbrahimOne of the most important challenges when building road infrastructure is the selection of appropriate mechanization, on which the efficiency of construction and the life of exploitation depends largely. As construction machinery, pavers occupy a significant place in civil engineering projects, so their selection, depending on a road category, is a very important activity. The objective of this paper is to develop an intelligent Fuzzy MCDM (Multi-Criteria Decision-Making) model, which consists of the integration of D and Z numbers for the selection of construction machinery. The IMF D-SWARA (Improved Fuzzy D Step-Wise Weight Assessment Ratio Analysis) method was used to determine weighting coefficients. A novel Fuzzy ARAS-Z (Additive Ratio Assessment) method has been developed to determine an adequate paver for a lower category of roads (asphalt width up to 5 m), which represents an important contribution and novelty of the paper. A total of 10 alternatives were evaluated based on 16 criteria which were classified into 4 main groups. The results have shown that the alternative A8—SUPER 1300-3 represents a paver with the best characteristics for the considered set of parameters. After that, verification tests were calculated, and they include a comparative analysis with four other MCDM methods based on Z numbers, a change in the normalization procedure, and the impact of changing the size of an initial fuzzy matrix. The tests showed the stability of the developed model with negligible deviations.
- СтавкаEVALUATION OF DIMENSIONS OF SERVQUAL MODEL FOR DETERMINING QUALITY OF PROCESSES IN REVERSE LOGISTICS USING A DELPHI – FUZZY PIPRECIA MODEL(Institute for Economic Forecasting, 2022) Stević, Željko; Nunić, Dajana; Badi, Ibrahim; Karabašević, DarjanDetermining a quality measure is a complex process that requires a large number of input parameters and extensive analysis. The purpose of this paper is to evaluate the dimensions of SERVQUAL model for its application in one of reverse logistics channels. A methodology that includes a combination of Delphi and PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method in a fuzzy form was applied. The Delhi method was applied in order for 112 users who filled in the SERVQUAL questionnaire to rank its five constituent dimensions according to significance. After that, based on the evaluation of five experts using the Fuzzy PIPRECIA method, the final values of the dimensions were obtained. Based on results, we could determine that the most significant dimension is C5 (responsiveness) with a weight coefficient of 0.259, followed by the reliability dimension (C1) with a weight of 0.228, slightly smaller than the responsiveness dimension. The assurance dimension and tangibles dimension follow with values (C2=0.207 and C3=0.183), while the empathy dimension is in the last position – C4=0.156. The obtained results show that certain improvement measures should be applied since certain dimensions do not meet the expectations of users to a greater extent. The originality of this research can be seen through the integration of a new Delphi – Fuzzy PIPRECIA model which is presented for the first
- СтавкаMeasuring Performance in Transportation Companies in Developing Countries: A Novel Rough ARAS Model(MDPI, 2018) Radović, Dunja; Stević, Željko; Pamučar, Dragan; Zavadskas, Edmundas Kazimieras; Badi, Ibrahim; Antuchevičiene, Jurgita; Turskis, ZenonasThe success of any business depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction, that is, the ability to properly define a set of success indicators. It is necessary to continuously monitor and measure the indicators that have the greatest impact on the achievement of previously set goals. Regarding transportation companies, the rationalization of transportation activities and processes plays an important role in ensuring business efficiency. Therefore, in this paper, a model for evaluating performance indicators has been developed and implemented in three different countries: Bosnia and Herzegovina, Libya and Serbia. The model consists of five phases, of which the greatest contribution is the development of a novel rough additive ratio assessment (ARAS) approach for evaluating measured performance indicators in transportation companies. The evaluation was carried out in the territories of the aforementioned countries in a total of nine companies that were evaluated on the basis of 20 performance indicators. The results obtained were verified throughout a three-phase procedure of a sensitivity analysis. The significance of the performance indicators was simulated throughout the formation of 10 scenarios in the sensitivity analysis. In addition, the following approaches were applied: rough WASPAS (weighted aggregated sum product assessment), rough SAW (simple additive weighting), rough MABAC (multi-attributive border approximation area comparison) and rough EDAS (evaluation based on distance from average solution), which showed high correlation of ranks by applying Spearman’s correlation coefficient (SCC).
- СтавкаWind farm site selection using BWM-AHP-MARCOS method: A case study of Libya(Elsevier, 2023) Badi, Ibrahim; Pamučar, Dragan; Stević, Željko; Muhammad LJ.Exploiting renewable energies has become an urgent environmental requirement, espe- cially in light of the high levels of pollution and increased global warming caused by the use of millions of tons of fossil fuels for energy production. Research has also helped re- duce the cost of obtaining renewable energy, making it a strong competitor to traditional energy sources. Despite the fact that many developed countries have made great strides in using renewable energy sources as an important part of their energy mix, developing countries continue to suffer in this area, despite the availability of these energy sources. In this study, a hybrid multi-criteria approach based on a combination of three methods, namely the Best-Worst method, the Analytical Hierarchical Process method and the Mea- surement of Alternatives and Ranking According to Compromise Solution method, was ap- plied in order to select the best site for the installation of a wind farm. The novelty of this study has been manifested through the fact that we developed and used this integrated model for the first time in literature. Thanks to applying two methods for determining cri- teria weights and one for ranking can be obtained more precise results and can be selected optimal location. Six criteria were used to compare the proposed sites. The combined Best- Worst method and the Analytical Hierarchical Process method were used to extract criteria weights. Based on the six criteria, a comparison was made between five proposed sites in the state of Libya, which is still almost entirely dependent on fossil fuels to obtain elec- tricity. The result showed that the safety and quality criterion is the most important with a weight of 0.573, followed by the social impression criterion with a weight of 0.203. Ac- cording to the model, the city of Derna, in the far northeast of the country, came out on top with a weight of 0.703, followed by the city of Tarhuna, in the west of the country, with a value of 0.35. In addition, a sensitivity analysis was performed to test the stability of the results by changing the weights of the criteria. The results obtained indicate the strength of the proposed model when the experts’ opinions on the criteria change. The evaluation criteria and this methodology can be applied to other cities to continue the orientation towards sustainability.