Special Issue on Recent Advances in Type-2 Fuzzy Decision Making: Theories and Applications
摘要截稿:
全文截稿: 2018-11-30
影响因子: 5.91
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 1区
• 小类 : 计算机:信息系统 - 1区
Overview
The management of uncertainty within decision-making problems is still a very challenging research issue, despite the different proposals developed across the time. One of the most interesting research topics in recent years is the use of type 2 fuzzy sets in decision making processes. As a generalization of fuzzy sets, type-2 fuzzy sets (T2FS) can address higher type uncertainty present in natural and human systems. In the last decade, we have witnessed a rapidly growth of T2FS in multiple criteria decision-making, group decision making, system optimization and control problems and their applications to various fields. Compared with the developments of other fuzzy decision-making areas, the studies on type-2 fuzzy decision makings are relatively recent, a few in the existing literature and lack of systematic and in-depth research in models and solutions. It seems to be the right time to establish new theories, methodologies and tools of type-2 fuzzy in decision making that may lead to new breakthroughs in this area.
As a fundamental theory in decision making and information fusion for fuzzy decision information, T2FS method is quite important because it exhibits many interesting and open problems. Meanwhile, both interval and general type-2 fuzzy decision-making are worth studying in big data environment. This special issue aims at offering a systematic overview of this research field and providing novel and innovative approaches, models and application systems to effectively support decision making in data-driven and knowledge-oriented environments. In particular, new innovative approaches to general type-2 fuzzy decision-making theory and management applications, or newly decision-making models in big data-driven are especially welcome. We warmly invite scholars from worldwide to submit original and high-quality papers to this special issue. It is anticipated that this special issue will help foster future studies on type-2 fuzzy decision making towards forming their own theories and models.