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Pairwise Comparisons Method

Theory and Applications in Decision Making

Autoren

252 Seiten

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Focusing on the intricacies of pairwise comparison matrices, this book delves into both deterministic and uncertain scenarios, including fuzzy and random elements. It explores the latest theories in decision-making processes and applies these concepts to prominent multicriteria decision-making methods such as AHP, PROMETHEE, and TOPSIS. Aimed at scholars in decision theory, operations research, and related fields, the text offers valuable insights into the mathematical foundations and practical applications of these matrices in various decision-making contexts.

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2020, paperback

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