Project

EVOLUTIONARY INTELLIGENCE (SPRINGER): Special Issue on “Intelligent and Fuzzy Systems in Data Science and Big Data”

Goal: In the era of big data, intelligent as well fuzzy tools have become more important than ever. Extracting “intelligence” from a huge amount of data has allowed to support decisions in many fields, ranging from medicine to engineering. On the other hand, looking at such a context from a fuzzy perspective allowed in a certain sense to start way of reasonings, such as the interpretability of computing schemes, which have been becoming more and more complex. Yet, successful applications of biomathematical modelling in a fuzzy environment showed a good alternative to mere black-box tools.
This special issue will be devoted to the current research in the above-mentioned areas. The guest editors solicit recent results mainly concerned with recent advances and challenges in the theory and applications of broadly perceived intelligent systems. With respect to tools and techniques, a special emphasis will be on artificial intelligence (in particular in the context of big data), fuzzy logic and fuzzy systems, hybrid systems, evolutionary computation, data analysis, machine learning (including deep learning).
Main application areas include, but are not limited to: bioinformatics, business and finance, decision making, e-learning, e-administration, healthcare, security, sensors, automation, robotics, manufacturing, logistics, electrical and power engineering, telecommunication, and several engineering fields (e.g. environmental, electrical, civil).
This special issue will consider mainly extended versions of selected papers presented at 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019 - October 18-21, 2019, Kitakyushu City, Japan - www.fsdmconf.org) as well as external submissions. All the submitted papers should be consistent with the Aim and Scope of the journal.
Please visit:
www.springer.com/engineering/computational+intelligence+and+complexity/journal/12065
Deadline for manuscript submissions:
October 30, 2019
Tentative Publication Date:
April 30, 2020

Date: 10 May 2019 - 30 May 2020

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Stefania Tomasiello
added a project goal
In the era of big data, intelligent as well fuzzy tools have become more important than ever. Extracting “intelligence” from a huge amount of data has allowed to support decisions in many fields, ranging from medicine to engineering. On the other hand, looking at such a context from a fuzzy perspective allowed in a certain sense to start way of reasonings, such as the interpretability of computing schemes, which have been becoming more and more complex. Yet, successful applications of biomathematical modelling in a fuzzy environment showed a good alternative to mere black-box tools.
This special issue will be devoted to the current research in the above-mentioned areas. The guest editors solicit recent results mainly concerned with recent advances and challenges in the theory and applications of broadly perceived intelligent systems. With respect to tools and techniques, a special emphasis will be on artificial intelligence (in particular in the context of big data), fuzzy logic and fuzzy systems, hybrid systems, evolutionary computation, data analysis, machine learning (including deep learning).
Main application areas include, but are not limited to: bioinformatics, business and finance, decision making, e-learning, e-administration, healthcare, security, sensors, automation, robotics, manufacturing, logistics, electrical and power engineering, telecommunication, and several engineering fields (e.g. environmental, electrical, civil).
This special issue will consider mainly extended versions of selected papers presented at 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019 - October 18-21, 2019, Kitakyushu City, Japan - www.fsdmconf.org) as well as external submissions. All the submitted papers should be consistent with the Aim and Scope of the journal.
Please visit:
Deadline for manuscript submissions:
October 30, 2019
Tentative Publication Date:
April 30, 2020