Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management

Dear Colleagues,

Information management is a common paradigm in modern decision-making. Today’s real-world problems involve multiple data sets, some precise or objective and some uncertain or subjective. A wide range of statistical and non-statistical decision-making techniques have been proposed in literature to model complex business processes. Statistical methods (i.e., probability theory) are useful in modeling processes with incomplete or inaccurate data, while non-statistical methods (i.e., fuzzy set theory, rough set theory, possibility theory, or fuzzy neural networks) are useful for modeling complex systems with imprecise, ambiguous or vague data. Multiple-criteria decision-making methods and hybrid models are quickly emerging as alternative methods for information modeling. Therefore, we invite authors to submit original research articles that propose crisp or uncertain multiple-criteria decision-making models and techniques to rationalize the complex process of business information management in various today’s real-world problems.

Prof. Edmundas Kazimieras Zavadskas
Prof. Jurgita Antuchevičienė
Dr. Prasenjit Chatterjee
Guest Editors

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