Title | ||
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Multiple-Criteria Decision-Making (Mcdm) Techniques For Business Processes Information Management |
Abstract | ||
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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. |
Year | DOI | Venue |
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2019 | 10.3390/info10010004 | INFORMATION |
Keywords | Field | DocType |
multiple-criteria decision-making (MCDM), multi-attribute decision-making (MADM), fuzzy sets, neutrosophic sets, rough sets, aggregation operators, adaptive neuro-fuzzy inference system (ANFIS) | Business information,Information management,Multiple-criteria decision analysis,Multiple criteria,Business process,Computer science,Rough set,Fuzzy set,Artificial intelligence,Management science,Machine learning,Personnel selection | Journal |
Volume | Issue | ISSN |
10 | 1 | 2078-2489 |
Citations | PageRank | References |
1 | 0.34 | 24 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Edmundas Kazimieras Zavadskas | 1 | 500 | 49.88 |
Jurgita Antucheviciene | 2 | 121 | 13.99 |
Prasenjit Chatterjee | 3 | 12 | 5.41 |