Abstract
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.
Highlights
Mineral industry operations are complicated and require an interdisciplinary approach presenting unique challenges in their design and implementation
Recent advances in Fuzzy Inference Systems (FIS) have provided a new approach in solving many problems related to mineral industry, a traditional economic activity which is heavily based on the experiential knowledge
This paper examines the recent applications of FIS in the mineral industry, the obtained benefits, the emerged difficulties and the future trends
Summary
Mineral industry operations are complicated and require an interdisciplinary approach presenting unique challenges in their design and implementation. This paper examines the recent applications of FIS in the mineral industry, the obtained benefits, the emerged difficulties and the future trends. It is the successor (update and revised) of the first paper presented by Galetakis and Vasiliou in 2010 [3]. The principles of fuzzy logic and fuzzy inference systems are given in section 2 and the development and operation of a FIS is presented through an illustrative example.
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