IEEE
Computational Intelligence Society
Fuzzy
Systems Technical Committee
Task
Force on “Complex Fuzzy Sets and Logic”
Task
Force Chair:
Scott
Dick
Department of Electrical & Computer
Engineering, University of Alberta
2nd Flr. ECERF Bldg.
9107 – 116 Street,
Edmonton, Alberta, Canada, T6G 2V4
http://www.ece.ualberta.ca/~dick
TF Chair’s Short CV: Prof. Scott Dick received
his B.Sc. degree in 1997, his M.Sc. degree in 1999, and his Ph.D. in 2002, all
from the University of South Florida. His Ph.D. dissertation received the USF
Outstanding Dissertation Prize in 2003. From 2002 to 2008 he was an Assistant
Professor of Electrical and Computer Engineering at the University of Alberta
in Edmonton, AB. Since 2008, he has been an Associate Professor in the same
department.
Dr. Dick’s research interests are
in Computational Intelligence, machine learning, data mining, and the
application of these technologies to real-world problems (e.g. Smart Grid,
livestock disease management, and anti-phishing technologies). A particular
focus is the topic of “complex fuzzy logic,” an extension of type-1 fuzzy logic
to complex-valued membership grades. His work has been funded by NSERC, the
Alberta Science and Research Authority, Hewlett-Packard, PRECARN Inc., and
Transport Canada. He is a member of the IEEE Computational Intelligence
Society’s Fuzzy Systems Technical Committee. He is an Associate Editor for IEEE Transactions on Fuzzy Systems, as well
as Evolving Systems. He is a member
of the ACM, IEEE, and ASEE.
Task
Force Vice-Chair:
Dan E. Tamir
Associate Professor of Computer Science
Texas State University
601 University Drive,
San Marcos, Texas, 78666
Office 512-245-7528
Email: dt19@txstate.edu
TF Vice-Chair’s Short CV: Dan Tamir is an associate professor of Computer Science at the
Texas State University, San Marcos, Texas (2005 - to date). He obtained the
PhD-CS from Florida State University in 1989, and the MS/BS-EE from Ben-Gurion
University, Israel.
From 1996-2005, he managed applied
research and design in DSP Core technology in Motorola-SPS/Freescale. From
1989-1996, he served as an assistant/associate professor in the CS Department
at Florida Tech. Between 1983-1986, he worked in the applied research division,
Tadiran, Israel.
Dan is conducting research in
fuzzy logic, power aware task scheduling, combinatorial optimization, computer
vision, and data compression. He has
been a member of the Israeli delegation to the MPEG committee and a Summer
Fellow at NASA KSC.
TF
Members:
Francisco
Chiclana
H.N.
Teodorescu
Jun
Ma
Mark
Last
Sarah
Greenfield
Vladik Kreinovich
Motivation:
Investigations
into complex fuzzy sets (an extension of type-1 fuzzy sets wherein the
membership function is complex-valued) have shown that these technologies are
practical and offer improvements over existing approaches in certain fields.
There is now a body of work showing that forecasting algorithms based on
complex fuzzy sets can be more accurate, and more compact, than traditional
neural network and neuro-fuzzy approaches. Several research groups around the
world are investigating complex fuzzy sets, and the isomorphic complex fuzzy
logic. This subfield would now clearly benefit from having a common point of
contact with others interested in the topic, as well as increased exposure to
the wider Computational Intelligence community. The creation of an FSTC Task
Force on Complex Fuzzy Sets and Logic appears to be the best way to reach these
goals.
Goals:
The
goal of this task force is to promote interest in, and the development of,
complex fuzzy sets and logic.
Scope:
The
scope of this task force includes both the theory of complex fuzzy sets and
logic, and their application. The defining characteristic of complex fuzzy sets is that membership is vector valued; likewise, in the
isomorphic complex fuzzy logic, truth values are vectors. This creates a number
of theoretical challenges (e.g. defining the class of complex fuzzy
intersection operators). Likewise, operationalizing complex fuzzy sets and
logic for a practical application carries its own challenges (e.g. linguistic
interpretation of a complex fuzzy set). All of these topics are within the
scope of this task force.
Planned
Activities:
-
Propose
a special session on “Complex Fuzzy Sets and Logic” for FUZZ-IEEE 2015
-
Prepare
and submit a review article on “Complex Fuzzy Sets and Logic” for IEEE Trans.
Fuzzy Systems, 2014.
-
Establish
a Web presence; including a website and social media.