Special Session on
Fuzziness in Smart Cities -
26 - 29 April, 2017 - Porto, Portugal
Within the 19th International Conference on Enterprise Information Systems - ICEIS 2017
* CANCELLED *
University of Economics in Bratislava
Miroslav Hudec is an associate Professor at the University of Economics in Bratislava, Faculty of Economic Informatics. He received the Master and PhD degrees from the University of Belgrade. His work is mainly focused on fuzzy logic, knowledge discovery, and information systems. M. Hudec is author or co-author of approximately 45 scientific articles and three books. He is a member of program committees of several international conferences and serves as an editorial board member in in Applied Soft Computing journal. He was the representative of Slovakia on UNECE/Eurostat/OECD Meeting on the Management of Statistical Information Systems.
University of Bern
He is an Assistant Professor of information science at the University of Bern, Switzerland. In the past, he studied for a BSc in information systems, for an MSc in business and economics, and for a PhD in computer sciences. He was a Visiting Research Scholar at NUS, as well as a Postdoctoral Researcher at UC Berkeley, USA. During his studies, he worked several years in a number of organizations in study-related disciplines. He is co-editor of the Springer series Fuzzy Management Methods, and President of a special interest group of the Swiss Informatics Society.
Although very significant work has been done in this field, there are still problems, which face areas such as semantic uncertainty or fuzziness. The smart city approach requires combination of efforts to improve quality of life, protect the environment, etc. Sensors, measurement units, data storages, networks can be viewed as hemisphere focused on hard computing. Crucial element of smart city is its inhabitants. People observe, communicate, infer, and compute by approximate reasoning, which can be viewed as hemisphere focused on soft computing. Furthermore, many data are fuzzy in their nature. Inferring from collected data, mining patterns, classification and summarization are tasks, which can be solved by fuzzy logic approaches. The solutions are valuable, e.g. for decision makers and dispatchers.
Topics of interest include, but are not limited to:
- Theoretical achievements
- Future of fuzzy logic in smart cities
- From smart to cognitive cities by fuzzy logic
- Inferring by computing with words
- Granular computing
- Human-centred computing
- Real-world use cases
- Summarizing form data
February 27, 2017 (expired)
March 1, 2017 (expired)
Camera Ready and Registration:
March 13, 2017 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Iwate Prefectural University, Japan
Lias/Ensma, Poitiers, France
Polish Academy of Sciences, Poland
University of Fribourg, Switzerland
Technological Educational Institute of Central Greece, Greece
University of Applied Sciences St. Gallen, Switzerland
Deutsches Museum München, Germany
University of Belgrade, Serbia
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
After thorough reviewing by the special session program committee complemented by members of the main conference program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library