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Year of publication
Subject
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Theorie 131 Theory 131 Artificial intelligence 87 Künstliche Intelligenz 87 Mathematical programming 59 Mathematische Optimierung 59 Multi-criteria analysis 59 Multikriterielle Entscheidungsanalyse 59 Forecasting model 54 Prognoseverfahren 54 Fuzzy sets 53 Fuzzy-Set-Theorie 52 Machine learning 52 Algorithm 47 Algorithmus 47 Neural networks 46 Neuronale Netze 46 Decision 38 Entscheidung 38 Data mining 32 Lieferkette 31 Supply chain 31 Classification 29 Data Mining 28 Management information system 23 Management-Informationssystem 23 Klassifikation 22 Deep learning 21 Learning process 21 Lernprozess 21 Optimization 20 Coronavirus 19 Data envelopment analysis 19 Data-Envelopment-Analyse 19 AHP approach 17 AHP-Verfahren 17 Gesundheitsversorgung 17 Health care 17 Heuristics 17 Heuristik 17
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Online availability
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Free 450 CC license 403 Undetermined 2
Type of publication
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Article 450 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 426 Aufsatz in Zeitschrift 426 Article 24
Language
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English 452
Author
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Chakraborty, Shankar 7 Chakraborty, Subrata 5 Chen, Toly 5 Ong, Pauline 5 Wang, Yu-Cheng 5 Abualigah, Laith Mohammad Qasim 4 Afsharian, Mohsen 4 Almeida, João Flávio de Freitas 4 Delen, Dursun 4 Deveci, Muhammet 4 Kumar, Satish 4 Rahman, Rashedur M. 4 Acharya, Ashish 3 Adekoya, Adebayo Felix 3 Azizi, Mahdi 3 Bari, A. B. M. Mainul 3 Chee Kiong Sia 3 Conceição, Samuel Vieira 3 Costa, Marcelo Azevedo 3 Dellnitz, Andreas 3 Dinçer, Hasan 3 Dwivedi, Ashish 3 Eti, Serkan 3 Karmaker, Chitra Lekha 3 Keshta, Ismail 3 Kesswani, Nishtha 3 Lahmiri, Salim 3 Mahata, Animesh 3 Mahato, Sanat Kumar 3 Maity, Samir 3 Mirjalili, Seyedali 3 Mishra, Bhupesh Kumar 3 Mukherjee, Supriya 3 Nagarajan, D. 3 Oliveira, Maiquiel Schmidt de 3 Pamucar, Dragan 3 Raza, Ali 3 Roy, Banamali 3 Spruit, Marco 3 Spruit, Marco René 3
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Published in...
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Decision analytics journal 404 Decision Analytics 46 Foundations and trends in technology, information and operations management 2
Source
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ECONIS (ZBW) 428 EconStor 24
Showing 141 - 150 of 452
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A real options model for remanufacturing facility installation decisions
Sadat, Mohammad Ahnaf; Kremer, Gül; Min, K. Jo - In: Decision analytics journal 7 (2023), pp. 1-19
In this paper, we consider a company that can satisfy customers' demands for a product using two alternative sourcing strategies: (1) purchasing new products from outside sources (such as an international partner) or (2) collecting cores (used products) and remanufacturing them. As the purchase...
Persistent link: https://www.econbiz.de/10014436613
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An integrated vector error correction and directed acyclic graph method for investigating contemporaneous causalities
Xu, Xiaojie; Zhang, Yun - In: Decision analytics journal 7 (2023), pp. 1-10
This study introduces an integrated vector error correction and directed acyclic graph method for investigating contemporaneous causalities with application to regional scrap steel prices in east, north, south, central, northeast, and southwest China. We use daily data and combine the Peter and...
Persistent link: https://www.econbiz.de/10014436621
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A multi-agent coalition-based approach for order fulfilment in e-commerce
Nanda, Pragyan; Patnaik, Srikanta - In: Decision analytics journal 7 (2023), pp. 1-13
The rapid growth of e-commerce in the recent pandemic is driven by the wide adoption of digitization, extensive use of smartphones, affordable internet services, and the convenience of shopping from anywhere and anytime. Some key indexes for measuring the performance of the e-commerce...
Persistent link: https://www.econbiz.de/10014436649
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A predictive analytics model for designing deep underground foundations using artificial neural networks
Agbemenou, Atsou Komla Herve; Motamed, Ramin; … - In: Decision analytics journal 7 (2023), pp. 1-11
Artificial neural networks (ANNs) are commonly used to solve nonlinear problems. ANNs are composed of parallel interconnected layers that include processing elements called neurons. These neurons use mathematical functions to process the data, mimicking the human brain. In this study, we use...
Persistent link: https://www.econbiz.de/10014436673
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A binary decision tree approach for pharmaceutical project portfolio management
Farid, Mahboubeh; Palmblad, Mikael; Hallman, Hampus; … - In: Decision analytics journal 7 (2023), pp. 1-10
In pharmaceutical R&D, decision makers face a large portion of uncertainty in portfolio decisions. Existing optimization tools are mostly based on expected values, ignoring uncertainty, and most often deliver a single, "best" selection of projects. A decision tree approach can aid decision...
Persistent link: https://www.econbiz.de/10014436683
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A systematic review of the literature on video assistant referees in soccer : challenges and opportunities in sports analytics
Oliveira, Maiquiel Schmidt de; Steffen, Vilmar; Trojan, … - In: Decision analytics journal 7 (2023), pp. 1-9
Refereeing in sports is about fairness. The referee's job is to balance what the player with the ball thinks is fair with what the player trying to take the ball thinks is fair. Referees are judges on those two opposite opinions. Football (soccer) has massive global appeal and fan interest. Some...
Persistent link: https://www.econbiz.de/10014436686
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A systematic review of Explainable Artificial Intelligence models and applications : recent developments and future trends
Saranya, A.; Subhashini, R. - In: Decision analytics journal 7 (2023), pp. 1-14
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and solve common real-world problems. Machine learning and deep learning are Artificial intelligence technologies that use algorithms to predict outcomes more accurately without relying on human intervention....
Persistent link: https://www.econbiz.de/10014436688
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A probabilistic model of competitive multi-ecological interactions for analyzing the impact of noise within sight of aquatic hyacinth
Das, Kalyan; Murthy, B. S. N.; Kabir, M. Humayun; Gani, … - In: Decision analytics journal 7 (2023), pp. 1-14
The article introduces a concept of probabilistic ecological competition from the aquatic hyacinth perspective, which often helps to track and analyze the sustainability of different species involved in the ecological system. A case study is presented to investigate the impact of the pH content...
Persistent link: https://www.econbiz.de/10014436727
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A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection
Vishwakarma, Monika; Kesswani, Nishtha - In: Decision analytics journal 7 (2023), pp. 1-8
Technology is pivotal in the rapid growth of services and intensifying the quality of life. Recent technology, like the Internet of Things (IoT), demonstrates an impressive performance in fast-forward development. Intrusion Detection System (IDS) is used as a lifeline to prevent attacks by...
Persistent link: https://www.econbiz.de/10014436765
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An integrated discrete-event simulation with functional resonance analysis and work domain analysis methods for industry 4.0 implementation
Ruiz Zúñiga, Enrique; Yasue, Naruki; Hirose, Takayuki; … - In: Decision analytics journal 9 (2023), pp. 1-10
In the Industry 4.0 era, advanced analytical tools are essential for progressing with digital transformation, especially within complex socio-technical systems. However, the growing complexity of these systems in manufacturing impedes system improvement, and traditional analytical methods...
Persistent link: https://www.econbiz.de/10014532325
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