Reprint

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

Edited by
March 2019
320 pages
  • ISBN978-3-03897-642-4 (Paperback)
  • ISBN978-3-03897-643-1 (PDF)

This book is a reprint of the Special Issue Multiple-Criteria Decision-Making (MCDM) Techniques for Business Processes Information Management that was published in

Computer Science & Mathematics
Summary

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.

Format
  • Paperback
License
© 2019 by the authors; CC BY-NC-ND license
Keywords
multi-criteria decision-making; group decision-making; subcontractor evaluation; MCDM; MADM; fuzzy sets; fuzzy EDAS; multi-attribute decision making; projection model; bi-directional projection model; Pythagorean uncertain linguistic variable; rough number; rough weighted aggregated sum product assessment (WASPAS); rough analytical hierarchical process (AHP); multiple criteria decision making (MCDM); supplier; supplier selection; order allocation; multiobjective optimization; interactive approach; desirability function; Pythagorean fuzzy set; Muirhead mean; multiple criteria group decision-making; multiple attributes decision-making; group decision-making; unbalanced linguistic set; prioritized average operator; maximizing deviation model; Pythagorean fuzzy set; Muirhead mean; interaction operational laws; multi-attribute group decision-making; green supplier; rough ANP; trapezoidal fuzzy number; rough boundary interval; evidence theory; trust interval; multiple attribute decision making; linguistic cubic variable; Dombi operations; linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator; linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator; single-valued linguistic neutrosophic interval linguistic number; score function; weighted aggregation operator; decision making; multiple attribute decision making; nonnegative normal neutrosophic number; aggregation operator; multi-criteria decision-making; multi-hesitant fuzzy sets; aggregation operators; hesitant probabilistic fuzzy element (HPFE); Einstein operations; hesitant probabilistic fuzzy Einstein aggregation operators; multiple attribute decision making (MADM).; ANFIS; warehouse; queuing systems; logistics; uncertain group decision-making support systems; multiple criteria decision-making; reliable group decision-making; interval multiplicative preference relations; rough sets; binary discernibility matrices; deterministic finite automata; multiple-criteria decision-making (MCDM); multi-attribute decision-making (MADM); fuzzy sets; neutrosophic sets; rough sets; aggregation operators; adaptive neuro-fuzzy inference system (ANFIS)