FUZZ-IEEE'2016 IEEE International Conference on Fuzzy Systems
part of
IEEE World Congress on Computational Intelligence WCCI'2016

Vancouver, Canada, July 25-29, 2016

A Special Session on
Inter-Relation Between Interval and Fuzzy Techniques

The relation between fuzzy and interval techniques is well known; e.g., due to the fact that a fuzzy number can be represented as a nested family of intervals (alpha-cuts), level-by-level interval techniques are often used to process fuzzy data.

At present, researchers in fuzzy data processing mainly used interval techniques originally designed for non-fuzzy applications, techniques which are often taken from textbooks and are, therefore, already outperformed by more recent and more efficient methods.

One of the main objectives of the proposed special session is to make the fuzzy community at-large better acquainted with the latest, most efficient interval techniques, especially with techniques specifically developed for solving fuzzy-related problems.

Another objective is to combine fuzzy and interval techniques, so that we will be able to use the combined techniques in (frequent) practical situations where both types of uncertainty are present: for example, when some quantities are known with interval uncertainty (e.g., coming from measurements), while other quantities are known with fuzzy uncertainty (coming from expert estimates). Keywords: interval computations, interval uncertainty, interval-valued fuzzy sets


Vladik Kreinovich
Professor of Computer Science
University of Texas at El Paso
El Paso, Texas, USA

Hung T. Nguyen
Professor of Mathematical Sciences
New Mexico State University
Las Cruces, New Mexico, USA
Chiang Mai University, Thailand

Important Dates

Submission of the papers

Please submit your papers for this special session to both the organizers and to the conference online submission system, by indicating the title of the special session.