Show simple item record

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

dc.contributor.authorAntuchevi?ien?, Jurgita*
dc.contributor.authorChatterjee, Prasenjit*
dc.contributor.authorZavadskas, Edmundas Kazimieras*
dc.date.accessioned2021-02-11T20:19:41Z
dc.date.available2021-02-11T20:19:41Z
dc.date.issued2019*
dc.date.submitted2019-03-08 11:42:05*
dc.identifier32468*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/54075
dc.description.abstractInformation 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.*
dc.languageEnglish*
dc.subjectTA1-2040*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.othermultiple attribute decision making*
dc.subject.othermaximizing deviation model*
dc.subject.otherinterval multiplicative preference relations*
dc.subject.otherrough sets*
dc.subject.otherqueuing systems*
dc.subject.otherfuzzy EDAS*
dc.subject.othernonnegative normal neutrosophic number*
dc.subject.othersingle-valued linguistic neutrosophic interval linguistic number*
dc.subject.otherorder allocation*
dc.subject.othermulti-attribute decision-making (MADM)*
dc.subject.othermulti-criteria decision-making*
dc.subject.otherPythagorean uncertain linguistic variable*
dc.subject.otherneutrosophic sets*
dc.subject.othersupplier*
dc.subject.othergreen supplier*
dc.subject.othertrust interval*
dc.subject.otherANFIS*
dc.subject.otherreliable group decision-making*
dc.subject.othermultiple criteria decision-making*
dc.subject.otheradaptive neuro-fuzzy inference system (ANFIS)*
dc.subject.othermulti-attribute group decision-making*
dc.subject.otherPythagorean fuzzy set*
dc.subject.otherMuirhead mean*
dc.subject.othersubcontractor evaluation*
dc.subject.otherfuzzy sets*
dc.subject.othergroup decision-making*
dc.subject.otherscore function*
dc.subject.othersupplier selection*
dc.subject.otherunbalanced linguistic set*
dc.subject.otherprojection model*
dc.subject.othermultiple criteria group decision-making*
dc.subject.otherwarehouse*
dc.subject.othermulti-hesitant fuzzy sets*
dc.subject.otherDombi operations*
dc.subject.otherinteraction operational laws*
dc.subject.otherdecision making*
dc.subject.otherMCDM*
dc.subject.othermultiple criteria decision making (MCDM)*
dc.subject.otherrough ANP*
dc.subject.otherMADM*
dc.subject.othermultiple attributes decision-making*
dc.subject.otherinteractive approach*
dc.subject.otherweighted aggregation operator*
dc.subject.otherlogistics*
dc.subject.otherrough analytical hierarchical process (AHP)*
dc.subject.otherlinguistic cubic variable*
dc.subject.othermultiobjective optimization*
dc.subject.otheraggregation operators*
dc.subject.otherbi-directional projection model*
dc.subject.otherrough boundary interval*
dc.subject.otherprioritized average operator*
dc.subject.otherbinary discernibility matrices*
dc.subject.otherEinstein operations*
dc.subject.otherhesitant probabilistic fuzzy Einstein aggregation operators*
dc.subject.othermultiple-criteria decision-making (MCDM)*
dc.subject.otheraggregation operator*
dc.subject.otherlinguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator*
dc.subject.otherlinguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator*
dc.subject.othermulti-attribute decision making*
dc.subject.othertrapezoidal fuzzy number*
dc.subject.otherrough number*
dc.subject.otherevidence theory*
dc.subject.otheruncertain group decision-making support systems*
dc.subject.otherdesirability function*
dc.subject.otherdeterministic finite automata*
dc.subject.otherrough weighted aggregated sum product assessment (WASPAS)*
dc.subject.otherhesitant probabilistic fuzzy element (HPFE)*
dc.subject.othermultiple attribute decision making (MADM).*
dc.titleMultiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03897-643-1*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783038976424*
oapen.pages320*
oapen.edition1st*


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/