Прегледај по Аутор "Stevic, Zeljko"

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    A novel group decision-making approach based on partitioned Hamy mean operators in q-rung orthopair fuzzy context
    (Springer, 2024) Rawat, Sukhwinder Singh; Komal; Liu, Peide; Stevic, Zeljko; Senapati, Tapan; Moslem, Sarbast
    In multi-attribute group decision-making (MAGDM), the attributes can be placed into independent groups based on their properties through partitioning. First, the partitioned dual Hamy mean (PDHM) operator is introduced, along with its essential properties. This operator integrates these separate groups while preserving the relationships between the attributes within each group. Furthermore, the partitioned Hamy mean (PHM) and the PDHM operators are also constructed in the generalized orthopair fuzzy environment, namely the q-rung orthopair fuzzy PHM (q-ROFPHM), the q-rung orthopair fuzzy PDHM (q-ROFPDHM), and theirweighted forms. Their essential properties are verified to ensure the validity of the proposed aggregation operators (AOs). Subsequently, a newMAGDMapproach is developed, employing the proposed AOs. TheMAGDMproblem of selecting the best person is examined. Moreover, the research includes a sensitivity analysis in three directions and a comparative analysis of the proposed MAGDM approach with five different approaches. The findings indicate that applying attribute partitioning in the proposed approach mitigates the adverse impact of irrelevant attributes, leading to more feasible and reliable outcomes. Additionally, a practical case study focuses on selecting a suitable industry for investment among the five available options. This case study demonstrates the approach’s effectiveness by considering five distinct qualities and results that make the Internet industry the best place to invest. Furthermore, a comparative analysis with four similar papers is also performed, indicating that the developed method’s results are more reliable and consistent.
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    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
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    Multi-Objective Rough Best-Worst Method to Evaluate Sustainability of a Biofuel Energy Supply Chain
    (Iran University of Science and Technology, 2022) Abbaspour, Mohammadmahdi; Fazlollahtabar, Hamed; Stevic, Zeljko
    The role of sustainability dimensions in the value creation process has received much attention. Adopting a proper set of key performance indicators leads to accurate calculation of chain value. This paper focuses on the dimensions of sustainability in the biofuel supply chain and seeks to evaluate the value in the chain. First, the importance of biofuels and its various types are discussed. Then, a new model is presented by designing the proposed energy chain and considering its sustainability dimensions and indicators in uncertain environment. Rough set theory is one of the best mathematical tools for dealing with uncertainty. The proposed biofuel energy supply chain is modeled to obtain the total value of the system considering sustainability indicators and layers of the supply chain. A multiobjective rough mathematical formulation is presented and solved. Best-worst method was integrated to determine the significance score of sustainability indicators. Finally, the model of the rough linear mathematical program is solved with optimization tools and the sustainable value of the chain is obtained.