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Naršyti pagal autorių "Antuchevičienė, Jurgita"

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Dabar rodomi įrašai 1-20 iš 254

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    • A bi-objective model for scheduling construction projects using critical chain method and interval-valued fuzzy sets 

      Dalouchei, Fatemeh; Mousavi, Seyed Meysam; Antuchevičienė, Jurgita; Minaei, Ahmad (Buildings: Intelligent Multi-Criteria Decision-Making Methodologies in Building and Construction Management, 2022)
      Numerous constraints affect construction projects, and lack of management may lead to schedule deviation. In the execution phase of the project, due to the lack of timely access to the required resources and the existence ...
    • A bibliometric analysis of Symmetry (2009–2019) 

      Li, Bo; Xu, Zeshui; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita; Turskis, Zenonas (Symmetry, 2020)
      Symmetry is an international journal in the research fields of physics, chemistry, biology, mathematics, computer science, theory and methods, and other scientific disciplines and engineering. The first paper was published ...
    • A comparative analysis of the rank reversal phenomenon in the EDAS and TOPSIS methods 

      Keshavarz-Ghorabaee, Mehdi; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Antuchevičienė, Jurgita (Economic computation and economic cybernetics studies and research, 2018)
      The rank reversal (RR) phenomenon could occur when new information about alternatives or criteria is added to the decision space of a discrete multi-criteria decision-making (MCDM) problem. If this addition leads to a ...
    • A decision framework under a linguistic hesitant fuzzy set for solving multi-criteria group decision making problems 

      Krishankumar, Raghunathan; Ravichandran, Kattur Soundarapandi; Premaladha, Jayaraman; Kar, Samarjit; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita (Sustainability, 2018)
      With fast-growing interest in sustainable healthcare management, proper selection and evaluation of hospitals become highly essential. Generally, experts/decision-makers (DMs) prefer qualitative information for rating ...
    • A dynamic fuzzy approach based on the EDAS method for multi-criteria subcontractor evaluation 

      Keshavarz-Ghorabaee, Mehdi; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Antuchevičienė, Jurgita (Information, 2018)
      Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main ...
    • A framework for project delivery systems via hybrid fuzzy risk analysis: Application and extension in ICT 

      Bidel, Mohammad Javad; Safari, Hossein; Amoozad Mahdiraji, Hannan; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita (Mathematics: Special issue: Data driven decision-making under uncertainty (D3U), 2022)
      One of the essential factors of project success is selecting the proper delivery method. This study aimed to provide a new hybrid decision-making framework to assist project stakeholders in evaluating and selecting the ...
    • A fuzzy extension of simplified best-worst method (F-SBWM) and its applications to decision-making problems 

      Amiri, Maghsoud; Hashemi-Tabatabaei, Mohammad; Keshavarz-Ghorabaee, Mehdi; Kaklauskas, Artūras; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita (Symmetry: Special issue: Symmetric and asymmetric data in solution models, Part II), 2023)
      Today, most of the issues and challenges faced by managers and decision makers are complex and multifaceted. More clearly, due to the developments of technologies, emerging trends in various industries, competitive markets, ...
    • A fuzzy simultaneous evaluation of criteria and alternatives (F-SECA) for sustainable e-waste scenario management 

      Keshavarz-Ghorabaee, Mehdi; Amiri, Maghsoud; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Antuchevičienė, Jurgita (Sustainability: Electronic Waste Management and Sustainable Development, 2022)
      The process of production, consumption, and final disposal of electrical and electronic equipment usually leads to harmful waste to the environment called e-waste. Eliminating and decreasing this type of waste could be ...
    • A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming 

      Razavi Hajiagha, Seyed Hossein; Daneshvar, Maryam; Antuchevičienė, Jurgita (Soft computing, 2021)
      Inventory classification is a fundamental issue in the development of inventory policy that assigns each inventory item to several classes with different levels of importance. This classification is the main determinant ...
    • A hybrid MCDM approach based on fuzzy ANP and fuzzy TOPSIS for technology selection 

      Aliakbari Nouri, Fahimeh; Khalili Esbouei, Saber; Antuchevičienė, Jurgita (Informatica, 2015)
      In order to compete in the global environment, a manufacturing company has to keep developing new technologies. Selection of a right technology is a critical stage in a successful technology transfer process. However, ...
    • A hybrid MCDM approach for strategic project portfolio selection of Agro by-products 

      Debnath, Animesh; Roy, Jagannath; Kar, Samarjit; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita (Sustainability, 2017)
      Due to the increasing size of the population, society faces several challenges for sustainable and adequate agricultural production, quality, distribution, and food safety in the strategic project portfolio selection (SPPS). ...
    • A hybrid model based on Fuzzy AHP and Fuzzy WASPAS for construction site selection 

      Turskis, Zenonas; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita; Kosareva, Natalja (International Journal of Computers, Communications & Control (IJCCC) : special issue on fuzzy sets and applications (celebration of the 50th anniversary of fuzzy sets), 2015)
      The purpose of this article is to propose a fuzzy multi-attribute performance measurement (MAPM) framework using the merits of both a novel Weighted Aggregated Sum-Product Assessment method with Fuzzy values (WASPAS-F) and ...
    • A life dedicated to science: on the occasion of the 70th birthday of editor-in-chief Edmundas Kazimieras Zavadskas 

      Kačianauskas, Rimantas; Kaklauskas, Artūras; Skibniewski, Mirosław J.; Kaklauskas, Gintaris; Antuchevičienė, Jurgita; Tupėnaitė, Laura (Journal of civil engineering and management, 2014)
    • A mixed interval type-2 fuzzy best-worst MACBETH approach to choose hub airport in developing countries: case of Iranian passenger airports 

      Pishdar, Mahsa; Ghasemzadeh, Fatemeh; Antuchevičienė, Jurgita (Transport, 2019)
      Hub airports are the ones that model networks in which most journeys go via a few central points. Famous hub airports deliver positive social and environmental impact to the communities along with economic effects. This ...
    • A model for shovel capital cost estimation, using a hybrid model of multivariate regression and neural networks 

      Jazdani-Chamzini, Abdolreza; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita; Baušys, Romualdas (Symmetry, 2017)
      Cost estimation is an essential issue in feasibility studies in civil engineering. Many different methods can be applied to modelling costs. These methods can be divided into several main groups: (1) artificial intelligence, ...
    • A new analytical methodology to handle time-cost trade-off problem with considering quality loss cost under interval-valued fuzzy uncertainty 

      Haghighi, Mohammad Hossein; Mousavi, Seyed Meysam; Antuchevičienė, Jurgita; Mohagheghi, Vahid (Technological and economic development of economy, 2019)
      This paper proposes a new framework in addressing time-cost trade-off problem (TCTP) under uncertainty. First critical path analysis is carried out based on developing a new intervalvalued fuzzy (IVF)-program evaluation ...
    • A new approach for multi-scenario project cash flow analysis based on todim and critical chain methods under grey uncertainty 

      Ali Mirnezami, Seyed; Meysam Mousavi, Seyed; Antuchevičienė, Jurgita; Mohagheghi, Vahid (Economic computation and economic cybernetics studies and research, 2020)
      Prognosticating and monitoring the financial conditions of the projects in terms of the cash are crucial to be considered for companies. Generating reliable cash flow is essential for taking proper decisions and having ...
    • A new approach for production project scheduling with time-cost-quality trade-off considering multi-mode resource-constraints under interval uncertainty 

      Ghasemi, Mohamad Hosein; Mousavi, Seyed Meysam; Aramesh, Saeed; Shahabi-Shahmiri, Reza; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita (International journal of production research, 2023)
      Due to today’s competitive environment and information boom, companies are concerned about production planning in uncertain conditions. This paper integrates decision-making method with production scheduling model by ...
    • A new approach to the viable ranking of zero-carbon construction materials with generalized fuzzy information 

      Krishankumar, Raghunathan; Mishra, Arunodaya Raj; Cavallaro, Fausto; Zavadskas, Edmundas Kazimieras; Antuchevičienė, Jurgita; Ravichandran, Kattur Soundarapandian (Sustainability: Sustainability and Energy-Saving in Construction and Building Materials, 2022)
      This paper aims to put forward an integrated decision approach, with generalized fuzzy information for the viable selection of zero- and low-carbon materials for construction. In countries such as India, the construction ...
    • A new COmbinative Distance-based ASsessment (CODAS) method for multi-criteria decision-making 

      Keshavarz Ghorabaee, Mehdi; Zavadskas, Edmundas Kazimieras; Turskis, Zenonas; Antuchevičienė, Jurgita (Economic Computation and Economic Cybernetics Studies and Research (ECECSR), 2016)
      A key factor to attain success in any discipline, especially in a field which requires handling large amounts of information and knowledge, is decision making. Most real-world decision-making problems involve a great variety ...

       

       

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