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  • 标题:Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management
  • 作者:Edmundas Kazimieras Zavadskas ; Jurgita Antucheviciene ; Prasenjit Chatterjee
  • 期刊名称:Information
  • 电子版ISSN:2078-2489
  • 出版年度:2019
  • 卷号:10
  • 期号:1
  • 页码:4
  • DOI:10.3390/info10010004
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要: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.
  • 关键词:multiple-criteria decision-making (MCDM); multi-attribute decision-making (MADM); fuzzy sets; neutrosophic sets; rough sets; aggregation operators; adaptive neuro-fuzzy inference system (ANFIS) multiple-criteria decision-making (MCDM) ; multi-attribute decision-making (MADM) ; fuzzy sets ; neutrosophic sets ; rough sets ; aggregation operators ; adaptive neuro-fuzzy inference system (ANFIS)
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