A popular generalization of fuzzy set (FS) was proposed by K. T. Atanassov in the form of Intuitionistic Fuzzy Set (IFS) in 1986. The concept of IFS has attracted researchers from different fields due to practical applicability in numerous directions. Some of the major application domains in which IFS has already been able to show its potentials towards better results are Multi-Criteria Decision Making, Clustering, Scheduling, Control, Data Mining, Classification, Image Processing and Brain Research. The theoretical aspects of IFS is also explored by a number of researchers through its comparison with Interval-Valued FS (IVFS) which resulted in the introduction of interval valued IFS. Recently, the concepts of IFS and Type-2 FS are amalgamated to propose a new variant of FS, called Intuitionistic Type-2 Fuzzy Set. Also, the FS based aggregation operators are extended with the help of IFS. The concepts of intuitionistic fuzzy integrals are also a promising area of research. Thus, it is found that the theoretical and application-based study of IFS is a vibrant research topic, and accordingly IFS has established itself as one of the highly studied FS variant. Therefore, this special session welcomes contributions of IFS in both theory and applications.
Major topics include (but not limited to) are the following:
IFS in Clustering, Classification and Data Ming
IFS in Multi-Criteria Decision Making
IFS in Scheduling, Tuning and Control
IFS in Fog Computing, Edge Computing, and Big data
IFS in Health Care and Medical Science
IFS for Intelligent Transportation Management
IFS based Calculus and Aggregations
IFS for Multimedia Applications and Image Processing
Extensions of IFS: Theory and Applications
All other topics involving IFS
15 January, 2020 30 January, 2020 - Paper submission deadline
15 March, 2020 - Author notification of acceptance or rejection
15 April 2020 - Final Paper Submission and Early Registration Deadline
19-24 July 2020 - IEEE WCCI 2020, Glasgow, Scotland, UK
Q M Danish Lohani received the Ph.D. degree in mathematics from the Department of Mathematics, Aligarh Muslim University, Aligarh, India, in 2009. He is currently an Associate Professor with the Department of Mathematics, South Asian University, New Delhi, India. His research interests include fuzzy and intuitionistic fuzzy metric spaces, sequence spaces, type-2 fuzzy set theory, summability, and approximation. Dr. Danish is an active member of the IEEE Computational Intelligence Society and has been technically engaged in scientific and research activities for about a decade. He has published in well-known journals and Conferences such as IEEE Transactions on Fuzzy Systems, Applied Soft Computing, Chaos, Solitons and Fractals, journal of intelligent and fuzzy systems, Filomat and Journal of Inequalities and Applications.
Pranab K. Muhuri received his Ph.D. degree in Computer Engineering in 2005 from IT-BHU [now Indian Institute of Technology, (BHU)], Varanasi, India. He is a Professor with the Department of Computer Science, South Asian University, India, and leading the computational intelligence research group. Pranab has been in the editorial board /guest editor and/or in the reviewers’ panel of a number of reputed journals such as Applied Soft Computing, Granular Computing, IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Computers and Industrial Engineering, Engineering Applications of Artificial Intelligence, International Journal of Uncertainty, Fuzziness, and Knowledge-Based Systems, Wireless Personal Communication etc. He is serving in the Editorial Boards of two journals: Applied Soft Computing, and Engineering Application of Artificial Intelligence.