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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 121 - 130 of 452
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A systematic review of the literature on machine learning application of determining the attributes influencing academic performance
Issah, Iddrisu; Appiah, Obed; Appiahene, Peter; Inusah, … - In: Decision analytics journal 7 (2023), pp. 1-11
Academic institutions operate in an extremely demanding and competitive environment. Some difficulties confronting most schools are delivering high-quality education to the students, developing systems for evaluating student performance, analyzing performance, and recognizing the future demands...
Persistent link: https://www.econbiz.de/10014433886
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A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional-Integral-Derivative controllers and Automatic Voltage Regulator systems
Ghasemi, Mojtaba; Rahimnejad, Abolfazl; Gil, Milad; … - In: Decision analytics journal 7 (2023), pp. 1-18
The Differential Evolution (DE) algorithm is a powerful and simple optimizer for solving various optimization problems. Based on the literature, DE has shown suitable performance in exploring search spaces and locating global optimums. However, it is typically slow in extracting the problem...
Persistent link: https://www.econbiz.de/10014433898
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Transfer-stable aggregation functions : applications, challenges, and emerging trends
Kurač, Zbyněk - In: Decision analytics journal 7 (2023), pp. 1-17
The original transfer-stable aggregation functions generalized the arithmetic means to finite chains. The idea of applying these functions was later demonstrated by purchasing several products depending on the quality and price of the products. This paper aims to continue this idea and show...
Persistent link: https://www.econbiz.de/10014434003
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A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks
Dey, Arun Kumar; Gupta, Govind P; Sahu, Satya Prakash - In: Decision analytics journal 7 (2023), pp. 1-16
Internet of Things (IoT) enabled networks are highly vulnerable to cyber threats due to insecure wireless communication, resource constraint architecture, different types of IoT devices, and a high volume of sensor data being transported across the network. Therefore, IoT-compatible...
Persistent link: https://www.econbiz.de/10014434087
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A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks
Mohd Herwan Sulaiman; Mustaffa, Zuriani; Mohd Mawardi Saari - In: Decision analytics journal 7 (2023), pp. 1-14
This paper proposes a simulation study to solve the optimal allocation of the Battery Energy Storage System (BESS) problem in distribution networks. The effect of BESS's installation in the selected distribution networks is surveyed for a 24-hour period, where time-of-use electricity charges are...
Persistent link: https://www.econbiz.de/10014434134
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A deep learning approach for assessing stress levels in patients using electroencephalogram signals
Bhatnagar, Shaleen; Khandelwal, Sarika; Jain, Shruti; … - In: Decision analytics journal 7 (2023), pp. 1-6
Stress can contribute to many health problems, such as high blood pressure, heart disease, obesity, and diabetes. Therefore, early stress detection is essential in preventing illness and health problems. This study proposes a music experimentation approach to identify stress levels among the...
Persistent link: https://www.econbiz.de/10014434143
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A novel deep learning method for predicting athletes' health using wearable sensors and recurrent neural networks
Alghamdi, Wael Y. - In: Decision analytics journal 7 (2023), pp. 1-13
Good health is extremely important for athletes who engage in strenuous physical activities, such as football. They must develop a healthy body before participating in vigorous activities and competitions. Although researchers have presented a wide range of analytical approaches emphasizing...
Persistent link: https://www.econbiz.de/10014434151
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A novel approach for complex and subjective variable valuation in the COPPE-Cosenza fuzzy model applied to crude oil trading
Andrade, Gustavo B.; Andrade, Luciana B.; Conde, Edison; … - In: Decision analytics journal 7 (2023), pp. 1-10
Numerical algorithms and mathematical methods are regularly used in the commodities and stock markets. However, this so-called quantitative trading has been thus far limited to the paper markets, such as futures, swaps, and options, and excluded a large majority of the physical market....
Persistent link: https://www.econbiz.de/10014434170
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A Delphi fuzzy analytic hierarchy process framework for criteria classification and prioritization in food supply chains under uncertainty
Gupta, Srikant; Chatterjee, Prasenjit; Rastogi, Raghavendra - In: Decision analytics journal 7 (2023), pp. 1-14
Effectively managing food supply chains is critical for ensuring food security and safety. Identifying and prioritizing the criteria affecting food supply chain performance is imperative to manage uncertainty and avoid undesirable consequences in Supply Chain Management (SCM). This study aims to...
Persistent link: https://www.econbiz.de/10014434173
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A sustainable inventory model for defective items under fuzzy environment
Chaudhary, Riju; Mittal, Mandeep; Jayaswal, Mahesh Kumar - In: Decision analytics journal 7 (2023), pp. 1-12
Ever since the basic Economic Order Quantity (EOQ) model was introduced, several researchers and academicians extended and/or altered it, to reduce its unrealistic assumptions and make it more suitable and appropriate to the real world. The traditional EOQ Models assume constant demand and...
Persistent link: https://www.econbiz.de/10014434174
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