MAZUREK, Jiří. Advances in Pairwise Comparisons - Detection, Evaluation and Reduction of Inconsistency. Switzerland: Springer, 2023, 139 pp. Multiple Criteria Decision Making. ISBN 978-3-031-23883-3.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Advances in Pairwise Comparisons - Detection, Evaluation and Reduction of Inconsistency
Authors MAZUREK, Jiří (203 Czech Republic, guarantor, belonging to the institution).
Edition Switzerland, 139 pp. Multiple Criteria Decision Making, 2023.
Publisher Springer
Other information
Original language English
Type of outcome Book on a specialized topic
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/47813059:19520/23:A0000369
Organization unit School of Business Administration in Karvina
ISBN 978-3-031-23883-3
Keywords in English inconsistency; inconsistency index; pairwise comparisons; pairwise comparison matrix
Tags International impact, Reviewed
Links GA21-03085S, research and development project.
Changed by Changed by: Miroslava Snopková, učo 43819. Changed: 2/4/2024 08:06.
Abstract
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.
PrintDisplayed: 8/5/2024 16:35