Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …
(ML) approaches in occupational accident analysis. The review process includes four …
[图书][B] Multiple attribute decision making: methods and applications
Decision makers are often faced with several conflicting alternatives. How do they evaluate
trade-offs when there are more than three criteria? To help people make optimal decisions …
trade-offs when there are more than three criteria? To help people make optimal decisions …
[图书][B] New concepts and trends of hybrid multiple criteria decision making
When people or computers need to make a decision, typically multiple conflicting criteria
need to be evaluated; for example, when we buy a car, we need to consider safety, cost and …
need to be evaluated; for example, when we buy a car, we need to consider safety, cost and …
Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools
J Kacprzyk, S Zadrożny - Information Sciences, 2005 - Elsevier
We consider linguistic data (base) summaries in the sense of Yager [Information Sciences
28 (1982) 69–86], exemplified by “most employees are young and well paid”(with some …
28 (1982) 69–86], exemplified by “most employees are young and well paid”(with some …
Computing with words is an implementable paradigm: Fuzzy queries, linguistic data summaries, and natural-language generation
J Kacprzyk, S Zadrozny - IEEE Transactions on Fuzzy Systems, 2010 - ieeexplore.ieee.org
We point out some relevant issues that are related to the computing-with-words (CWW)
paradigm and argue for an urgent need for a new, nontraditional look at the area, since the …
paradigm and argue for an urgent need for a new, nontraditional look at the area, since the …
Finding fuzzy classification rules using data mining techniques
Data mining techniques can be used to discover useful patterns by exploring and analyzing
data, so, it is feasible to incorporate data mining techniques into the classification process to …
data, so, it is feasible to incorporate data mining techniques into the classification process to …
Soil quality assessment using weighted fuzzy association rules
XUE Yue-Ju, LIU Shu-Guang, HU Yue-Ming… - Pedosphere, 2010 - Elsevier
Fuzzy association rules (FARs) can be powerful in assessing regional soil quality, a critical
step prior to land planning and utilization; however, traditional FARs mined from soil quality …
step prior to land planning and utilization; however, traditional FARs mined from soil quality …
Compact fuzzy association rule-based classifier
Classification is one of the most popular data mining techniques applied to many scientific
and industrial problems. The efficiency of a classification model is evaluated by two …
and industrial problems. The efficiency of a classification model is evaluated by two …
An association rule mining method for estimating the impact of project management policies on software quality, development time and effort
MNM García, IR Román, FJG Peñalvo… - Expert Systems with …, 2008 - Elsevier
Accurate and early estimations are essential for effective decision making in software project
management. Nowadays, classical estimation models are being replaced by data mining …
management. Nowadays, classical estimation models are being replaced by data mining …
Production Flow Analysis in the Era of Industry 4.0: How Digital Technologies can Support Decision-Making in the Factory of the Future
L Tomidei, N Sick, J Deuse… - … on Management of …, 2022 - ieeexplore.ieee.org
In the context of Industry 4.0, manufacturing companies have been increasingly adopting
digital technologies such as Internet of Things, data analytics and cyber-physical systems to …
digital technologies such as Internet of Things, data analytics and cyber-physical systems to …