dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Antuchevičienė, Jurgita | |
dc.contributor.author | Chatterjee, Prasenjit | |
dc.date.accessioned | 2023-09-18T17:05:53Z | |
dc.date.available | 2023-09-18T17:05:53Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/119483 | |
dc.description.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. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-7 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | EI Compendex Plus | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Emerging Sources Citation Index (Web of Science) | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://www.mdpi.com/2078-2489/10/1/4 | |
dc.source.uri | https://doi.org/10.3390/info10010004 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:33363813/datastreams/MAIN/content | |
dc.title | Multiple-Criteria Decision-Making (MCDM) techniques for business processes information management | |
dc.type | Apžvalginis, informacinis, enciklopedinis straipsnis mokslo leidinyje / Review, informational, encyclopedic article in research publication | |
dcterms.accessRights | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Document type: Editorial Material | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 36 | |
dc.type.pubtype | S7 - Apžvalginis, informacinis, enciklopedinis straipsnis mokslo leidinyje / Review, informational, encyclopaedic article in scientific publication | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | MCKV Institute of Engineering | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | multiple-criteria decision-making (MCDM) | |
dc.subject.en | multi-attribute decision-making (MADM) | |
dc.subject.en | fuzzy sets | |
dc.subject.en | neutrosophic sets | |
dc.subject.en | rough sets | |
dc.subject.en | aggregation operators | |
dc.subject.en | adaptive neuro-fuzzy inference system (ANFIS) | |
dcterms.sourcetitle | Information | |
dc.description.issue | iss. 1 | |
dc.description.volume | vol. 10 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 2-s2.0-85059532355 | |
dc.identifier.doi | 000459747300004 | |
dc.identifier.doi | 10.3390/info10010004 | |
dc.identifier.elaba | 33363813 | |