Related references
Note: Only part of the references are listed.The fuzzy Kalman filter: Improving its implementation by reformulating uncertainty representation
Fernando Matia et al.
FUZZY SETS AND SYSTEMS (2021)
An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities
Emanuele Bellini et al.
SENSORS (2021)
A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks
Piotr Cofta et al.
SENSORS (2021)
A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins
Alberto Villalonga et al.
ANNUAL REVIEWS IN CONTROL (2021)
Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things
Sascha Eichstaedt et al.
SENSORS (2021)
Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning
Mohammad Samadi Gharajeh et al.
SENSORS (2021)
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
Matthew J. Page et al.
BMJ-BRITISH MEDICAL JOURNAL (2021)
Hybrid Multi-Level Detection and Mitigation of Clone Attacks in Mobile Wireless Sensor Network (MWSN)
Haafizah Rameeza Shaukat et al.
SENSORS (2020)
Cloud-Based Industrial Cyber-Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot Line
Alberto Villalonga et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
A Semantic-Based Belief Network Construction Approach in IoT
Yuji Dong et al.
SENSORS (2020)
Leveraging Uncertainties in Softmax Decision-Making Models for Low-Power IoT Devices
Chiwoo Cho et al.
SENSORS (2020)
Deep Learning-Based Cell-Level and Beam-Level Mobility Management System
Roman Klus et al.
SENSORS (2020)
CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey
Xiang Fei et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Supporting academic decision making at higher educational institutions using machine learning-based algorithms
Yuri Nieto et al.
SOFT COMPUTING (2019)
Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming
Joohyun Shin et al.
COMPUTERS & CHEMICAL ENGINEERING (2019)
Deep Learning-Inspired Message Passing Algorithm for Efficient Resource Allocation in Cognitive Radio Networks
Miao Liu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
A λ-rough set model and its applications with TOPSIS method to decision making
Bin Yu et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions
J. A. Morente-Molinera et al.
KNOWLEDGE-BASED SYSTEMS (2019)
A fast decision making method for mandatory lane change using kernel extreme learning machine
Senlin Cheng et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2019)
An efficient event matching system for semantic smart data in the Internet of Things (IoT) environment
Noura Alhakbani et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
DA-DRLS: Drift adaptive deep reinforcement learning based scheduling for IoT resource management
Abishi Chowdhury et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2019)
A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks
Alvaro Carrera et al.
SENSORS (2019)
Risk-Aware Resource Management in Public Safety Networks
Panagiotis Vamvakas et al.
SENSORS (2019)
Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data: A Review and Case Study
Fernando Castano et al.
REMOTE SENSING (2019)
Time-slotted software-defined Industrial Ethernet for real-time Quality of Service in Industry 4.0
Peng Zeng et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Context aware Q-Learning-based model for decision support in the negotiation of energy contracts
J. Rodriguez-Fernandez et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
The wireless control plane: An overview and directions for future research
EmadelDin A. Mazied et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2019)
Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification
Sumeet Trehan et al.
COMPUTATIONAL GEOSCIENCES (2018)
Systematic survey of big data and data mining in internet of things
Shabnam Shadroo et al.
COMPUTER NETWORKS (2018)
Algorithms for interval-valued fuzzy soft sets in emergency decision making based on WDBA and CODAS with new information measure
Xindong Peng et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2018)
A Machine Learning Approach for Mechanism Selection in Complex Negotiations
Reyhan Aydogan et al.
JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING (2018)
The stratified multi-criteria decision-making method
Mehdi Rajabi Asadabadi
KNOWLEDGE-BASED SYSTEMS (2018)
Maximum decision entropy-based attribute reduction in decision-theoretic rough set model
Can Gao et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties
Hong Pan et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2018)
Machine Learning in Multi-Agent Systems using Associative Arrays
Przemyslaw Spychalski et al.
PARALLEL COMPUTING (2018)
Review on mining data from multiple data sources
Ruili Wang et al.
PATTERN RECOGNITION LETTERS (2018)
Reasoning about sensing uncertainty and its reduction in decision-making for self-adaptation
Javier Camara et al.
SCIENCE OF COMPUTER PROGRAMMING (2018)
A Symbiotic Human-Machine Learning Approach for Production Ramp-up
Stefanos Doltsinis et al.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2018)
Virtual Network Embedding Using Node Multiple Metrics Based on Simplified ELECTRE Method
Peiying Zhang et al.
IEEE ACCESS (2018)
A survey on application of machine learning for Internet of Things
Laizhong Cui et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2018)
Deep learning for affective computing: Text-based emotion recognition in decision support
Bernhard Kratzwald et al.
DECISION SUPPORT SYSTEMS (2018)
Machine learning for internet of things data analysis: a survey
Mohammad Saeid Mahdavinejad et al.
DIGITAL COMMUNICATIONS AND NETWORKS (2018)
IoT Resources Ranking: Decision Making Under Uncertainty Combining Machine Learning and Fuzzy Logic
Renato Dilli et al.
FUZZY INFORMATION PROCESSING, NAFIPS 2018 (2018)
Evaluating airline service quality using a combined fuzzy decision-making approach
Selcuk Percin
JOURNAL OF AIR TRANSPORT MANAGEMENT (2018)
Computing Approximate Nash Equilibria in Polymatrix Games
Argyrios Deligkas et al.
ALGORITHMICA (2017)
Resolving Braess's Paradox in Random Networks
Dimitris Fotakis et al.
ALGORITHMICA (2017)
Machine learning based optimized live virtual machine migration over WAN links
Moiz Arif et al.
TELECOMMUNICATION SYSTEMS (2017)
Context-aware decision making under uncertainty for voice-based control of smart home
Pedro Chahuara et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach
Ying He et al.
IEEE COMMUNICATIONS MAGAZINE (2017)
Node stability-based routing in Wireless Mesh Networks
Mustapha Boushaba et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)
Human-computer interaction, foundations and new paradigms
Alan Dix
JOURNAL OF VISUAL LANGUAGES AND COMPUTING (2017)
Nuclear energy system's behavior and decision making using machine learning
Mario Gomez Fernandez et al.
NUCLEAR ENGINEERING AND DESIGN (2017)
The Internet of People (IoP): A new wave in pervasive mobile computing
Marco Conti et al.
PERVASIVE AND MOBILE COMPUTING (2017)
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
Daniele Ravi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
A robust optimization model for a decision-making problem: An application for stock market
Massimiliano Ferrara et al.
OPERATIONS RESEARCH PERSPECTIVES (2017)
A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations
Mehdi Keshavarz Ghorabaee et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2017)
Selection of Sustainable Process and Essential Indicators for Decision Making Using Machine Learning Algorithms
Rajib Mukherjee
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY (2017)
Multi-objective Decision in Machine Learning
Talles Henrique de Medeiros et al.
JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS (2017)
Empirical decision model learning
Michele Lombardi et al.
ARTIFICIAL INTELLIGENCE (2017)
A synthesis of automated planning and reinforcement learning for efficient, robust decision-making
Matteo Leonetti et al.
ARTIFICIAL INTELLIGENCE (2016)
An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification
Hasan Kartal et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2016)
Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing
Amit Sheth
IEEE INTELLIGENT SYSTEMS (2016)
Software-Defined Industrial Internet of Things in the Context of Industry 4.0
Jiafu Wan et al.
IEEE SENSORS JOURNAL (2016)
Decision Learning: Data analytic learning with strategic decision making
Yan Chen et al.
IEEE SIGNAL PROCESSING MAGAZINE (2016)
RIM-reference ideal method in multicriteria decision making
E. Cables et al.
INFORMATION SCIENCES (2016)
Semantic Web in data mining and knowledge discovery: A comprehensive survey
Petar Ristoski et al.
JOURNAL OF WEB SEMANTICS (2016)
Managing Uncertainty in Autonomic Cloud Elasticity Controllers
Pooyan Jamshidi et al.
IEEE CLOUD COMPUTING (2016)
Multi-criteria selection of a deep-water port in the Eastern Baltic Sea
Edmundas Kazimieras Zavadskas et al.
APPLIED SOFT COMPUTING (2015)
Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets
JingTao Yao et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment
Jindong Qin et al.
KNOWLEDGE-BASED SYSTEMS (2015)
Software-Defined Networking: A Comprehensive Survey
Diego Kreutz et al.
PROCEEDINGS OF THE IEEE (2015)
On the structure of equilibria in basic network formation
S. Nikoletseas et al.
THEORETICAL COMPUTER SCIENCE (2015)
Classification of Uncertain Data Streams Based on Extreme Learning Machine
Keyan Cao et al.
COGNITIVE COMPUTATION (2015)
A new flexible and reliable IVF-TOPSIS method based on uncertainty risk reduction in decision making process
M. N. Mokhtarian et al.
APPLIED SOFT COMPUTING (2014)
Decision making of HVAC system using Bayesian Markov chain Monte Carlo method
Young-Jin Kim et al.
ENERGY AND BUILDINGS (2014)
Context Aware Computing for The Internet of Things: A Survey
Charith Perera et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2014)
On combining machine learning with decision making
Theja Tulabandhula et al.
MACHINE LEARNING (2014)
Linguistic Decision Making for Robot Route Learning
Hongmei He et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)
A Decision Support Approach for Online Stock Forum Sentiment Analysis
Desheng Dash Wu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2014)
Decision Making Framework with Stochastic Dynamicity: A Step Forward Towards SDN
Sajjad Ali Mushtaq et al.
9TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC'14) / THE 11TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC'14) / AFFILIATED WORKSHOPS (2014)
An application of soft computing technique in group decision making under interval-valued intuitionistic fuzzy environment
Zhongliang Yue et al.
APPLIED SOFT COMPUTING (2013)
A reinforcement learning approach to autonomous decision-making in smart electricity markets
Markus Peters et al.
MACHINE LEARNING (2013)
A probabilistic decision-making approach for the sustainable assessment of infrastructures
H. Gervasio et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Three perspectives of data mining
ZH Zhou
ARTIFICIAL INTELLIGENCE (2003)