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Autori: Simic Vladimir D

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Naslov The FMEA model based on LOPCOW-ARAS methods with interval-valued Fermatean fuzzy information for risk assessment of R&D projects in industrial robot offline programming systems (Article)
Autori Rong Yuan  Yu Liying  Liu Yi  Simic Vladimir D  Garg Harish 
Info COMPUTATIONAL & APPLIED MATHEMATICS, (2024), vol. 43 br. 1, str. -
Projekat General Program of the National Natural Science Foundation of China; Ministry of Education Humanities and Social Sciences Research Planning Fund Project [23YJA630122]; [12071280]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Prioritization of crowdsourcing models for last-mile delivery using fuzzy Sugeno-Weber framework (Article)
Autori Pamucar Dragan S  Lazarevic Dragan M  Dobrodolac Momcilo  Simic Vladimir D  Gorcun Omer Faruk 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 128 br. , str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov The MEREC-AROMAN method for determining sustainable competitiveness levels: A case study for Turkey (Article)
Autori Kara Karahan  Yalcin Galip Cihan  Acar Avni Zafer  Simic Vladimir D  Konya Serkan  Pamucar Dragan S 
Info SOCIO-ECONOMIC PLANNING SCIENCES, (2024), vol. 91 br. , str. -
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Naslov A fuzzy multi-objective optimization model for sustainable healthcare supply chain network design (Article)
Autori Ala Ali  Goli Alireza  Mirjalili Seyedali  Simic Vladimir D 
Info APPLIED SOFT COMPUTING, (2024), vol. 150 br. , str. -
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Naslov Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals (Article)
Autori Pamucar Dragan S  Simic Vladimir D  Gorcun Omer Faruk  Kucukonder Hande 
Info EXPERT SYSTEMS WITH APPLICATIONS, (2024), vol. 239 br. , str. -
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Naslov Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology (Article)
Autori Aytekin Ahmet  Korucuk Selcuk  Bedirhanoglu Sule Bayazit  Simic Vladimir D 
Info ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, (2024), vol. 127 br. , str. -
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Naslov Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization (Article)
Autori Predic Bratislav B  Jovanovic Luka Z  Simic Vladimir D  Bacanin Nebojsa  Zivkovic Miodrag Z  Spalevic Petar C  Budimirovic Nebojsa  Dobrojevic Milos 
Info COMPLEX & INTELLIGENT SYSTEMS, (2024), vol. 10 br. 2, str. 2249-2269
Projekat This research was supported by the Science Fund of the Republic of Serbia-IDEA#7751676 and Ministry of Science, Technological Development and Innovations of the Republic of Serbia-TR32023 and TR35026. [7751676]; Science Fund of the Republic of Serbia-IDEA [TR32023, TR35026]; Ministry of Science, Technological Development and Innovations of the Republic of Serbia
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Naslov The combined effects of interest and inflation rates on inventory systems: A comparative analysis across countries (Article)
Autori Khakbaz Amir  Mensi Walid  Tirkolaee Erfan Babaee  Hammoudeh Shawkat  Simic Vladimir D 
Info INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, (2023), vol. 266 br. , str. -
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Naslov MCDM-Based Wildfire Risk Assessment: A Case Study on the State of Arizona (Article)
Autori Pishahang Mohammad  Jovcic Stefan  Hashemkhani Zolfani Sarfaraz  Simic Vladimir D  Goercuen oemer Faruk  Zhu Shaojun  Zhang Chao 
Info FIRE-SWITZERLAND, (2023), vol. 6 br. 12, str. -
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Naslov Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics (Article; Early Access)
Autori Jovanovic Luka Z  Bacanin Nebojsa  Simic Vladimir D  Mani Joseph P  Zivkovic Miodrag Z  Sarac Marko 
Info SOFT COMPUTING, (2023), vol. br. , str. -
Projekat Ministarstvo Prosvete, Nauke i Tehnoloscaron;kog Razvoja
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