next face-to-face meeting of the interval standard working group
Dear Friends,
Please mark your calendars.
The next face-to-face meeting of the interval standard working group will be held in Edmonton, Canada, during the joint conference World Congress of International Fuzzy Systems Association (IFSA) and Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS). The conference will be held on June 24-28, 2013; for details, see http://www.ualberta.ca/~reformat/ifsa2013/
According to our timeline (as reminded by Baker Kearfott), by September, 2013, we should have already ratified significant parts of the actual standard wording. So, face-to-face discussions in June would help us to resolve any thorny issues which may surface.
Please note that these series of fuzzy conferences strongly welcome interval-related papers. As usual, there is a special session on inter-relation between interval and fuzzy techniques (in which I am one of the organizers). The description of this session is given below.
Vladik
Here is the session description:
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 quant!
ities are known with interval uncertainty (e.g., coming from measurements), while other quantities are known with fuzzy uncertainty (coming from expert estimates).