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

Abstract

Information management is a common paradigm in modern decision-making. A wide range of decision-making techniques have been proposed in the literature to model complex business processes. In this Special Issue, 16 selected and peer-reviewed original research articles contribute to business information management in various current real-world problems by proposing crisp or uncertain multiple-criteria decision-making (MCDM) models and techniques, mostly including multi-attribute decision-making (MADM) approaches in addition to a single paper proposing an interactive multi-objective decision-making (MODM) approach. The papers are mainly concentrated in three application areas: supplier selection and rational order allocation, the evaluation and selection of goods or facilities, and personnel selection/partner selection. A number of new approaches are proposed that are expected to attract great interest from the research community.

Keywords

• multiple-criteria decision-making (MCDM)
• multi-attribute decision-making (MADM)
• fuzzy sets
• neutrosophic sets
• rough sets
• aggregation operators
• adaptive neuro-fuzzy inference system (ANFIS)