Handling Uncertainties in Big Data By Fuzzy Systems

July 19 - 24. 2020. Glasgow, Scoland



The volume, variety, velocity, veracity and value of data and data communication are increasing exponentially. The “Five Vs” are the key features of big data, and also the causes of inherent uncertainties in the representation, processing, and analysis of big data. Also, big data often contain a significant amount of unstructured, uncertain and imprecise data.
Fuzzy sets, logic and systems enable us to efficiently and flexibly handle uncertainties in big data in a transparent way, thus enabling it to better satisfy the needs of big data applications in real world and improve the quality of organizational data-based decisions. Successful developments in this area have appeared in many different aspects, such as fuzzy data analysis technique, fuzzy data inference methods and fuzzy machine learning. In particular, the linguistic representation and processing power of fuzzy sets is a unique tool for bridging symbolic intelligence and numerical intelligence gracefully. Hence, fuzzy techniques can help to extend machine learning in big data from the numerical data level to the knowledge rule level. It is therefore instructive and vital to gather current trends and provide a high-quality forum for the theoretical research results and practical development of fuzzy techniques in handling uncertainties in big data.

This special session aims to offer a systematic overview of this new field and provides innovative approaches to handle various uncertainty issues in big data presentation, processing and analysing by applying fuzzy sets, fuzzy logic, fuzzy systems, and other computational intelligent techniques. The scope of this special session includes, but not limited to, fuzzy rule-based knowledge representation in big data processing, granular modelling, fuzzy transfer learning, uncertain data presentation and modelling in cloud computing, and real-world cases of uncertainties in big data, etc.

Scope and topics:


The main topics of this special session include, but are not limited to, the following:

  • Fuzzy rule-based knowledge representation in big data processing

  • Information uncertainty handling in big data processing

  • Unstructured big data visualization

  • Uncertain data presentation and fuzzy knowledge modelling in big data sets

  • Tools and techniques for big data analytics in uncertain environments

  • Computational intelligence methods for big data analytics

  • Techniques to address concept drifts in big data

  • Fuzzy transfer learning in big data

  • Methods to deal with model uncertainty and interpretability issues in big data processing

  • Feature selection and extraction techniques for big data processing

  • Granular modelling, classification and control

  • Fuzzy clustering, modelling and fuzzy neural networks in big data

  • Evolving and adaptive fuzzy systems in in big data

  • Uncertain data presentation and modelling in data-driven decision support systems

  • Information uncertainty handling in recommender systems

  • Uncertain data presentation and modelling in cloud computing

  • Information uncertainty handling in social network and web services

  • Real world cases of uncertainties in big data


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Violations of any of the above paper specifications may result in rejection of your paper.


Manuscript Style Information·      

  • Only papers in PDF format will be accepted.

  • Paper Size: US letter.

  • Paper Length: Each paper should have 6 to MAXIMUM 8 pages, including figures, tables and references. A maximum of two extra pages per paper is allowed (i. e., up to 10 pages), at an additional charge of $100 USD per extra page.

  • Paper Formatting: double column, single spaced, #10 point Times Roman font.

  • Margins: Left, Right, and Bottom: 0.75″ (19mm). The top margin must be 0.75″ (19 mm), except for the title page where it must be 1″ (25 mm).

  • No page numbers please. We will insert the page numbers for you.

Note: Violations of any of the above specifications may result in rejection of your paper.

(Please do not forget to select the session name when you submitting your paper!)

Submission Link< click here to submit your paper >





University of Technology Sydney




University of Technology Sydney





University of Technology Sydney




  • 15 Jan 2020                            Paper Submission Deadline

  • 15 Mar 2020                           Paper Acceptance Notification Date

  • 15 April 2020                          Final Paper Submission and Early Registration Deadline

  • 19-24 July 2020                     IEEE WCCI 2020, Glasgow, Scotland, UK