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Bargaining with nonanonymous disagreement: Decomposable rules
(Elsevier Science Bv, 2011)
We analyze bargaining situations where the agents' payoffs from disagreement depend on who among them breaks down the negotiations. We model such problems as a superset of the standard domain of Nash (1950). We first show ...
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
(Elsevier, 2022)
The goal of managing smart cities and societies is to maximize the efficient use of finite resources while enhancing the quality of life. To establish a sustainable urban existence, smart cities use some new technologies ...
Mnemonic regulation of sadness and anger: The role of spontaneous vs instructed recall
(Springer, 2023)
Mood-incongruency effects in autobiographical recall have been conceptualized as a function of the emotion regulation through which the content and the phenomenology of the autobiographical memories serve to repair negative ...
Evaluation of the Special Warehouse Handling Equipment (Turret Trucks) Using Integrated FUCOM and WASPAS Techniques Based on Intuitionistic Fuzzy Dombi Aggregation Operators
(Springer Heidelberg, 2023)
Turret trucks used for special warehousing operations have exceptional abilities, qualifications, and working principles than other warehousing handling equipment. Also, at the same time, if decision-makers cannot select ...
Solution approaches for the bi-objective Skiving Stock Problem
(Pergamon-Elsevier Science Ltd, 2023)
The Skiving Stock Problem (SSP) aims to determine an optimal plan for producing as many large objects as possible by combining small items. The skiving process may need different considerations depending on the production ...
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
(Elsevier Ireland Ltd, 2023)
Medical data processing has grown into a prominent topic in the latest decades with the primary goal of maintaining patient data via new information technologies, including the Internet of Things (IoT) and sensor technologies, ...
Students' Web-Based Activities Moderate the Effect of Human-Computer-Interaction Factors on Their E-Learning Acceptance and Success During COVID-19 Pandemic
(Taylor & Francis Inc, 2022)
The purpose of this study is to investigate if students' activities on systems web-based moderate the effect of human-computer interaction (HCI) factors on ease of use and usefulness of e-learning and their success (SS) ...
A novel integrated MCDM framework based on Type-2 neutrosophic fuzzy sets (T2NN) for the selection of proper Second-Hand chemical tankers
(Pergamon-Elsevier Science Ltd, 2022)
Shipping companies may not present appropriate and reasonable shipping charges to their customers due to the high investment costs of chemical tanker vessels. Hence, the second-hand chemical tanker vessel selection may ...
Evaluation of the pharmaceutical distribution and warehousing companies through an integrated Fermatean fuzzy entropy-WASPAS approach
(Emerald Group Publishing Ltd, 2022)
Purpose Pharmaceutical supply chains (PSCs) need a well-operating and faultless logistics system to successfully store and distribute their medicines. Hospitals, health institutes, and pharmacies must maintain extra stock ...
Multi-objective Distributed Energy Resource Integration in Radial Distribution Networks
(IEEE, 2021)
Despite numerous studies on the optimal design and planning of distribution networks (DNs), little attention has been paid to improving the reliability of the distribution systems through optimal operation and planning of ...