Advances in Pairwise Comparisons: Detection, Evaluation and Reduction of Inconsistency

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.

Jiri Mazurek is an Assistant Professor at the School of Business Administration in Karvina, Silesian University in Opava, Czech Republic. His research mainly focuses on decision theory, multiple criteria decision aiding methods, and pairwise comparisons methods in particular, and was published in leading journals in the field, such as European Journal of Operational Research, Journal of the Operational Research Society, or International Journal of Approximate Reasoning.