1.

Record Nr.

UNINA9910683360103321

Autore

Mazurek Jiri

Titolo

Advances in Pairwise Comparisons : Detection, Evaluation and Reduction of Inconsistency / / by Jiri Mazurek

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023

ISBN

9783031238840

9783031238833

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (153 pages)

Collana

Multiple Criteria Decision Making, , 2366-0031

Disciplina

519.542

Soggetti

Operations research

Mathematics

Social sciences

Computer science - Mathematics

Production management

Operations Research and Decision Theory

Mathematics in the Humanities and Social Sciences

Mathematical Applications in Computer Science

Operations Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Multiplicative pairwise comparisons -- Inconsistency indices and their properties -- Inconsistency reduction -- Alternative approaches to the evaluation of inconsistency in pairwise comparisons -- Inconsistency of incomplete pairwise comparisons matrices -- Ordinal inconsistency.

Sommario/riassunto

This book tackles issues associated with inconsistency in pairwise comparisons from both theoretical and practical perspectives. Human judgments are seldom absolutely consistent, or absolutely precise, therefore problems of measuring and handling inconsistency belong among hot topics of the current research, especially in the theoretical framework of multiple criteria decision aiding (MCDA). The book presents and discusses the state-of-the-art of this field including both cardinal and ordinal inconsistency, the problems of different scales for



comparisons and inconsistency reduction, and the alternative approaches to inconsistency detection and measurement. This book is a unique one-stop guide for readers who are interested in inconsistency in pairwise comparisons. Researchers and practitioners in the area of multiple-criteria decision-making (MCDM) and the analytic hierarchy process (AHP) will find this informative book particularly valuable.