A3 Book section, chapters in research books

Decision analytics and soft computing with industrial partners: A personal retrospective

LUT Authors / Editors

Publication Details
Authors: Mezei Jozsef, Brunelli Matteo
Editors of book: Collan Mikael, Fedrizzi Mario, Kacprzk Janusz
Publisher: Physica-verlag
Publication year: 2016
Language: English
Title of parent publication: Fuzzy Technology - Present Applications and Future Challenges
Volume number: 335
Start page: 193
End page: 205
Number of pages: 13
ISBN: 978-3-319-26984-9
eISBN: 978-3-319-26986-3
ISSN: 1434-9922
JUFO-Level of this publication: 2
Open Access: Not an Open Access publication

Methods in decision analytics are becoming essential tools for organizations to process the increasing amount of collected data. At the same time, these models should be capable of representing and utilizing the tacit knowledge of experts. In other words, companies require methods that can make use of imprecise information to deliver insights in real time. In this chapter, we provide a summary of three closely related research projects designed by building on the concept of knowledge mobilization. In these three cases, we provide solutions for typical business analytical problems originating mainly form the process industry. Fuzzy ontology represented as a fuzzy relation provides the basis for every application. By looking at the similarities among the three cases, we discuss the main lessons learnt and provide some important factors to be considered in future applications of soft computing in industrial applications.

Last updated on 2018-19-10 at 08:49