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

• Main Author: Antuchevi?ien?, Jurgita (auth)
• Other Authors: Chatterjee, Prasenjit (auth), Zavadskas, Edmundas Kazimieras (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: History of engineering & technology; multiple attribute decision making; maximizing deviation model; interval multiplicative preference relations; rough sets; queuing systems; fuzzy EDAS; nonnegative normal neutrosophic number; single-valued linguistic neutrosophic interval linguistic number; order allocation; multi-attribute decision-making (MADM); multi-criteria decision-making; Pythagorean uncertain linguistic variable; neutrosophic sets; supplier; green supplier; trust interval; ANFIS; reliable group decision-making; multiple criteria decision-making; adaptive neuro-fuzzy inference system (ANFIS); multi-attribute group decision-making; Pythagorean fuzzy set; Muirhead mean; subcontractor evaluation; fuzzy sets; group decision-making; score function; supplier selection; unbalanced linguistic set; projection model; multiple criteria group decision-making; warehouse; multi-hesitant fuzzy sets; Dombi operations; interaction operational laws; decision making; MCDM; multiple criteria decision making (MCDM); rough ANP; MADM; multiple attributes decision-making; interactive approach; weighted aggregation operator; logistics; rough analytical hierarchical process (AHP); linguistic cubic variable; multiobjective optimization; aggregation operators; bi-directional projection model; rough boundary interval; prioritized average operator; binary discernibility matrices; Einstein operations; hesitant probabilistic fuzzy Einstein aggregation operators; multiple-criteria decision-making (MCDM); aggregation operator; linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator; linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator; multi-attribute decision making; trapezoidal fuzzy number; rough number; evidence theory; uncertain group decision-making support systems; desirability function; deterministic finite automata; rough weighted aggregated sum product assessment (WASPAS); hesitant probabilistic fuzzy element (HPFE); multiple attribute decision making (MADM).
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.