This book illustrates the application of grey systems theory to management science research, by developing selection procedures for grey analytical methods suitable for forecasting, decision-making, and analysing variable relationships. Highlights the similarity between grey system theory and other uncertainty modelling methods, introducing demarcation criteria between grey system theory, fuzzy logic, and statistical approaches. The book leverages the concept of a "grey space" to move beyond the intuitive understanding of grey, presenting a logical and mathematical model of the concept. Connects grey information with traditional management research paradigms and strategies, serving as a methodological guide to grey methods tailored for social sciences, especially management research.

The aim is to facilitate management science readers' understanding of how grey systems theory can be applied in research, providing specific guidance on the use of grey methods in management studies and discussing their possibilities and limitations. This work provides methodological guidelines for conducting research in management science.

Auteur

Rafal Mierzwiak currently works at the Faculty of Management Engineering, Poznan University of Technology, where he heads the Laboratory of Quantitative Methods and Grey Systems. His research interests include the application of grey systems theory in management and quality sciences, taking into account methodological and epistemological issues. He actively collaborates with the most important research centres in the field of grey systems theory. He currently serves as Deputy Secretary General for the International Association of Grey Systems and Uncertainty and is a member of The IEEE Systems, Man, and Cybernetics Society (TC on Grey Systems). He has repeatedly participated in international conferences where he presented his research in plenary sessions. His papers and research articles have also received numerous awards from the grey systems theory research community. He has participated in many international research projects.