Complexity Issues in Data-Driven Fuzzy Inference Systems: Systematic Literature Review

2020 ◽  
pp. 190-204
Author(s):  
Jolanta Miliauskaitė ◽  
Diana Kalibatiene
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Fuzzy Inference ◽  
Data Driven ◽  
Fuzzy Inference Systems ◽  
Inference Systems

scholarly journals Applications of fuzzy inference systems in mineral industry-an overview

2021 ◽  
Vol 342 ◽  
pp. 05006
Author(s):  
Michael Galetakis ◽  
Anthoula Vasiliou ◽  
Emmanuel Steiakakis ◽  
Athanasia Soultana ◽  
Vassilios Deligiorgis
Keyword(s):  
Fuzzy Logic ◽  
Literature Review ◽  
Recent Literature ◽  
Fuzzy Inference ◽  
Earth Science ◽  
Mineral Resources ◽  
Fuzzy Inference Systems ◽  
Mineral Industry ◽  
New Approach ◽  
Inference Systems

Recent advances in information and artificial intelligence technologies, and more specifically in Fuzzy Logic and Fuzzy Inference Systems (FIS), have provided a new approach in solving many problems related to mineral industry. The aim of the current study is to examine the application of FIS in mineral resources extractive industry by performing a recent literature review (2010-2020) of related studies published in engineering and earth science oriented scientific journals. Firstly the principles of Fuzzy Logic and the operation of FIS are briefly discussed and a descriptive example of a FIS used in mining with bucket wheel excavators is given. Secondly the results from the literature review are presented and the advantages as well as the trends in future development are discussed.

Sign in / Sign up

Export Citation Format

Share Document