Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management. Este artículo no está disponible.
Idioma: inglés
Editorial: MDPI AG, 2019
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Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | MDPI AG | EAN 9783038976424 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
N° de ref. del artículo 130684937
- Título
- Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management
- Editorial
- MDPI AG
- Año de publicación
- 2019
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3038976423
- ISBN 13
- 9783038976424
- Peso del artículo
- 821 gramos
- Dimensiones
- 244 x 170 x 21 mm
- Catálogos de vendedores
- Bücher
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 and engineering 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. Particular attention is devoted to information aggregation operators—65% of papers dealt with this item. The topics of this Special Issue gained attention in Europe and Asia. A total of 48 authors from seven countries contributed to this Issue. 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.
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