CEQD: A complex mass function to predict interference effects

F Xiao - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Uncertainty is inevitable in the decision-making process of real applications. Quantum
mechanics has become an interesting and popular topic in predicting and explaining human …

Deep reinforcement learning for long‐term pavement maintenance planning

L Yao, Q Dong, J Jiang, F Ni - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Inappropriate maintenance and rehabilitation strategies cause many problems such as
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …

A knowledge-based constructive estimation of distribution algorithm for bi-objective portfolio optimization with cardinality constraints

ZX Zhang, WN Chen, XM Hu - Applied Soft Computing, 2023 - Elsevier
Portfolio optimization is an essential and practical model for financial decision making. With
the consideration of some real-world constraints, especially the cardinality constraints, the …

Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction method

BSC Campello, LT Duarte, JMT Romano - Engineering Applications of …, 2022 - Elsevier
Abstract Multi-criteria Decision Analysis (MCDA) is a methodology that has been classically
used to rank alternatives according to a set of decision criteria. The MCDA techniques have …

Interval-valued probabilistic hesitant fuzzy set-based framework for group decision-making with unknown weight information

R Krishankumar, KS Ravichandran… - Neural Computing and …, 2021 - Springer
This paper aims at presenting a new decision framework under an interval-valued
probabilistic hesitant fuzzy set (IVPHFS) context with fully unknown weight information. At …

A quantum-like model for predicting human decisions in the entangled social systems

A Meghdadi, MR Akbarzadeh-T… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human-centered systems of systems, such as social networks, the Internet of Things, or
healthcare systems are growingly becoming significant facets of modern life. Realistic …

A trust-aware task allocation method using deep q-learning for uncertain mobile crowdsourcing

Y Sun, W Tan - Human-centric Computing and Information Sciences, 2019 - Springer
Mobile crowdsourcing has emerged as a promising collaboration paradigm in which each
spatial task requires a set of mobile workers in near vicinity to the target location …

Solving periodic investment portfolio selection problems by a data-assisted multiobjective evolutionary approach

J Xiong, R Wang, G Kou, L Xu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Classic portfolio selection problems mainly focus on high-risk financial markets with
tradeoffs between returns and risk. However, more risk-averse investors pursue long-term …

Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems

C Liu, KG Lore, Z Jiang, S Sarkar - Knowledge-Based Systems, 2021 - Elsevier
Performance monitoring, anomaly detection, and root-cause analysis in complex cyber–
physical systems (CPSs) are often highly intractable due to widely diverse operational …

Kinematics design of a MacPherson suspension architecture based on bayesian optimization

SS Thomas, J Palandri, M Lakehal-Ayat… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Engineering design is traditionally performed by hand: an expert makes design proposals
based on past experience, and these proposals are then tested for compliance with certain …