2023
			
	    
	
	
    Advances in Pairwise Comparisons - Detection, Evaluation and Reduction of Inconsistency
MAZUREK, JiříBasic 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
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"
		References:
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: 2/4/2024 08:06, Miroslava Snopková
				
		Abstract
In the original language
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.