Special Session: Inter-Relation Between Interval and Fuzzy Techniques

Motivations: 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).

Scope: The session will include all aspects of relations between interval and fuzzy techniques, including:

• the use of interval techniques to process fuzzy data - the use motivated by the fact that a fuzzy number can be represented as a nested family of intervals, and fuzzy data processing can be described as processing the corresponding intervals layer-by-layer
• theory and applications of interval-valued fuzzy sets
• general applications combining interval and fuzzy information
• results and algorithms from interval mathematics that are of potential use in fuzzy applications
• challenging application-motivated open problems related to the relation between interval and fuzzy techniques, including the problems related to the need to go beyond interval-valued fuzzy sets, for example:
• to more general second-order fuzzy sets, and
• to techniques combining interval, fuzzy, and other types of uncertainty (probabilistic, rough sets, etc.).

Deadline for Submissions: December 15, 2007.

How to Submit: Please follow instructions from the “Submission” section of the WCCI'2008 website. When submitting, indicate that your paper is intended for the Interval Special Session (our session's code is FS02).