Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces

Chapter 1: Challenging Decision Problems and Decision Models.- Chapter 2: Decision Processes and Decision Making in Changeable Spaces.- Chapter 3: Habitual Domains, Human Behaviour Mechanism and Wonderful Solutions for DMCS Problem Analysis.- Chapter 4: Expansion of Habitual Domains and DMCS.- Chapter 5: Competence Set Analysis, Decision Blinds and Decision-Making.- Chapter 6: Decision-Making in Changeable Spaces (DMCS): A New Paradigm.- Chapter 7: Solving Real-World DMCS Problems - Part 1: Management and Economics Problems.- Chapter 8. Solving Real World DMCS Problems - Part 2: Social, Geopolitical and Discovery Problems.- Chapter 9: Innovation Dynamics as a DMCS Problem.- Chapter 10: Conclusion and Further Research.

Moussa Larbani is a professor at the International Islamic University Malaysia (IIUM). He earned his bachelor's degree in mathematics, majoring in operations research from USTHB University, Algiers, Algeria in 1985, and his Ph.D. in ordinary differential equations and optimal control from Odessa State University, Ukraine in 1991. He has been Associate Professor at UMMTO University, Tizi-Ouzou, Algeria from 1991-2001. He then joined IIUM University in Kuala Lumpur, Malaysia until 2006. He spent one year at Kainan University in Taiwan and re-joined IIUM University in Kuala Lumpur, Malaysia in 2007. He has been a Professor at IIUM University since 2010. His current research interests include decision making, Habitual Domain theory, fuzzy game theory, supply chain management and multiple criteria problems involving uncertainty. Dr. Larbani has made a significant contribution to the theory of second order games and the theory of decision making in changeable spaces with Prof. P.L. Yu. Moreover, he has published more than 50 articles over multiple objective programming, fuzzy games, differential equations, supply chain management, data mining and finance.

Po-Lung Yu, Distinguished Professor (Emeritus) of University of Kansas (KU), Kansas, and Distinguished Professor for Life of National Chiao-Tung University (NCTU), Taiwan, was raised in Taiwan, further educated and trained in USA. He earned BA-International Trade (1963) from National Taiwan University, and Ph.D.-Operations Research and Industrial Engineering (1969) from the Johns Hopkins University. From 1977 to 2004, Dr. Yu held an endowed Chair as the Carl A. Scupin Distinguished Professor of the University of Kansas. He taught at NCTU from 1999 to 2011. Previously he taught at the University of Rochester (1969-73) and the University of Texas at Austin (1973-77). He won awards for outstanding research and for teaching. Dr. Yu, the initiator of Habitual Domains theory, competence set analysis and second order

"The book serves as a corrective to purely quantitative approaches to decision making and problem solving, and it will interest both those studying decision making in the abstract and those, such as business leaders and engineers, who make decisions every day. The book will enable both groups to understand better the complexities of decision making and to expand their problem-solving skill sets." (Computing Reviews, May, 2017)