Over the past twelve years, research and development in soft set theory has made great progress. Many successful applications have been reported in journals and at conferences.
The theory of soft set was proposed by D. Molodtsov in 1999 as a new way for managing uncertain data [1]. Soft sets are called (binary, basic, elementary) neighborhood systems. A standard soft set may be redefined as the classification of objects in two distinct classes, thus confirming that soft sets can deal with a Boolean-valued information system. Molodtsov pointed out that one of the main advantages of soft set theory is that it is free from the inadequacy of parameterisation tools, unlike the theories of fuzzy set, probability and interval mathematics.
At present, work on soft set theory is progressing rapidly and many important results have been achieved, especially the use of soft sets in dimensionality reduction and decision making. Research on fuzzy soft sets has also received much attention thanks to their introduction by Maji et al. [2].As a combination (marriage) of fuzzy and soft set theories, fuzzy soft set theory is a more general soft set model which makes descriptions of the objective world more general, realistic, practical and accurate in some cases of decision making.
The purpose of this special issue is to bring together soft setters to demonstrate challenging research issues and exchange state-of-the-art research and development in decision making fields.
The issue intends to publish revised and substantially extended versions of selected papers presented at the Special Session on Soft Set-based Decision Making (SDM'13) in conjunction with the 1st International Conference on Soft Computing and Data Engineering 2013 (ISCDE’13), to take place 26-28 August, 2013), with a special focus on soft set and fuzzy soft set-based decision making. SDM'12 aims to bring together researchers and practitioners in the field of soft set theory from around the world to discuss their studies.
Additionally, we strongly encourage researchers unable to participate in the conference to submit papers for this call.
References
[1] Molodtsov, D. Soft set theory_First results. Computers and Mathematics with Applications, 7 (4/5), 1999, 19 - 31.
[2] Maji, P.K., Biswas, R., and Roy, A.R. Fuzzy soft sets. Journal of Fuzzy Mathematics, 9 (3), 2001, 589–602.
Authors are invited to submit articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in, but not limited to, the following areas:
- Fuzzy soft set-based decision making
- Intuitionistic fuzzy soft set-based decision making
- Interval-valued intuitionistic fuzzy soft set-based decision making
- Fuzzy Soft set-based knowledge discovery in databases.
- Fuzzy soft set-based forecasting
- Fuzzy soft set-based data analysis in the fields of economy, engineering, medical decision making, etc.
Paper submission deadline: 1 October, 2013
First review notification: 30 December, 2013
Paper re-submission for conditionally accepted paper: 30 January, 2014
Notification of final acceptance: 15 March, 2014
Final paper and copyright submission: 30 April, 2014
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