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.
Highlights
Complex information management is an important part of activity in modern decision-making.Today’s real-world problems involve multiple data sets, some precise or objective and some uncertain or subjective.A wide range of statistical and non-statistical decision-making techniques have been proposed in the literature to model complex business or engineering processes
Multiple-criteria decision-making (MCDM) methods are among the techniques that have recently been gaining extraordinary popularity and wide applications [1]
Based basedon onthe the above-discussed items highlight the topicality thewe issue, we authors to submit original researchresearch articles and disseminate their new ideas related invited authors to their submit their original articles and disseminate their new ideasto related to models techniques to rationalize complex process of business information management and MCDM and models and techniques tothe rationalize the complex process of business information optimal decision-making
Summary
Complex information management is an important part of activity in modern decision-making. A wide range of statistical and non-statistical decision-making techniques have been proposed in the literature to model complex business or engineering processes. Multiple-criteria decision-making (MCDM) methods are among the techniques that have recently been gaining extraordinary popularity and wide applications [1]. A new emerging data processing, as neutrosophic been set, successfully applied for decision-making tool for uncertainknown data processing, knownset, as has neutrosophic has been successfully applied for problems [6]. Based basedon onthe the above-discussed items highlight the topicality thewe issue, we authors to submit original researchresearch articles and disseminate their new ideas related invited authors to their submit their original articles and disseminate their new ideasto related to models techniques to rationalize complex process of business information management and MCDM and models and techniques tothe rationalize the complex process of business information optimal decision-making. We discuss the contribution the in aim of the proposed decision-making approaches and application areas. and application areas
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