Title
Multiple-Criteria Decision-Making (Mcdm) Techniques For Business Processes Information Management
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.
Year
DOI
Venue
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 Zavadskas150049.88
Jurgita Antucheviciene212113.99
Prasenjit Chatterjee3125.41