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).
Scope: all topics connected to the inter-relation between interval and fuzzy techniques, including (but not limited to):
Keywords: interval computations, interval uncertainty, interval-valued fuzzy sets.
Submissions: details and dates. Papers should be submitted electronically. For details on submissions and for the deadlines, please refer to the WCCI'2012 website.
Scott Ferson, Applied Biomathematics, USA
Vladik Kreinovich, University of Texas at El Paso, USA Weldon Lodwick, University of Colorado at Denver, USA
Rafi Muhanna, Georgia Institute of Technology, USA
Hung T. Nguyen, New Mexico State University, USA
Sa-aat Niwitpong, King Mongkut's University of Technology North Bangkok, Thailand
Karen Villaverde, New Mexico State University, USA
Elbert Walker, New Mexico State University, USA
Berlin Wu, National Chengchi University, Taiwan
Gang Xiang, Applied Biomathematics and Philips Healthcare