Open AccessUSE OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR PROGNOSTICS: NEW APPLICATION OF ROUGH SETS
Author(s) -
Janusz Zalewski,
Zbigniew M. Wójcik
Publication year - 2014
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 11
eISSN - 2312-5381
pISSN - 1727-6209
DOI - 10.47839/ijc.11.1.553
Subject(s) - prognostics , rough set , context (archaeology) , computer science , field (mathematics) , artificial intelligence , set (abstract data type) , machine learning , data mining , reliability engineering , engineering , mathematics , paleontology , pure mathematics , biology , programming language
The objective of this paper is to set the context for the potential application of rough sets in prognostics. Prognostics is a field of engineering, which deals with predicting faults and failures in technical systems. Engineering solutions to respective problems embrace the use of multiple Artificial Intelligence (AI) techniques. The authors, first, review selected AI techniques used in prognostics and then propose the application of rough sets to build the system health prognostication model.