Advanced Fuzzy Methods in Decision Making and Data Analysis

Call for Papers

Real-world problems are always complex and characterized with the presence of uncertainty. The fuzzy technologies embedded into the methodologies of data analysis and decision-making processes may help deal with such difficult problems. We invite researchers and practitioners to submit their original research and review articles that explore the most recent advances in the applications of fuzzy data analysis and decision making. Potential topics include, but are not limited to:

• Dynamic data analysis
• Pattern recognition
• Fuzzy modeling
• Fuzzy decision support system
• Fuzzy data envelopment analysis
• Fuzzy data filter
• Group decision making
• Interactive decision making
• Intelligent data analysis
• Multiple-attribute decision making
• Multiple-objective decision making

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/afs/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/afs/afmdm/ according to the following timetable:

Lead Guest Editor

• Toly Chen, Department of Industrial Engineering and Systems Management, Feng Chia University, 100 Wenhwa Road, Seatwen, Taichung, Taiwan

Guest Editors

• Katsuhiro Honda, Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan
• Deng-Feng Li, Fuzhou University, Fuzhou, China
• Yongming Li, Shaanxi Normal University, Xi'an, China
• Erich Peter Klement, Johannes Kepler University, Linz, Austria
• Yi-Chi Wang, Department of Industrial Engineering and Systems Management, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan