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WONDERFUL SOLUTIONS AND HABITUAL DOMAINS FOR CHALLENGING PROBLEMS IN CHANGEABLE

Moussa Yu Polung Larbani

Oprawa:
MIĘKKA

Wydawca:
Springer Singapore

ISBN:
9789811094941

928,15 PLN
Wysyłamy w 28 dni

Opis produktu

This book introduces a new paradigm called śOptimization in Changeable Spaces (OCS) as a useful tool for decision making and problem solving. It illustrates how OCS incorporates searches and constructively restructures the parameters tangible and intangible involved in the process of decision making. The book elaborates on OCS problems that can be modeled and solved effectively by using the concepts of competence set analysis Habitual Domain (HD) and the mental operators called the 789 principles of deep knowledge of HD. In addition new concepts of covering and discovering processes are proposed and formulated as mathematical tools to solve OCS problems. The book also includes reformulations of a number of illustrative reallife challenging problems that cannot be solved by traditional optimization techniques into OCS problems and details how they can be addressed. Beyond that it also includes perspectives related to innovation dynamics management artificial intelligence artificial and eeconomics scientific discovery and knowledge extraction. This book will be of interest to managers of businesses and institutions policy makers and educators and students of decision making and behavior inChapter 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 DecisionMaking. Chapter 6: DecisionMaking in Changeable Spaces (DMCS): A New Paradigm. Chapter 7: Solving RealWorld 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 FThe 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 problemsolving skill sets.Ł (Computing Reviews May 2017)<Moussa Larbani is a professor at the International Islamic University Malaysia (IIUM). He earned his bachelors 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 TiziOuzou Algeria from 19912001. He then joined IIUM University in Kuala Lumpur Malaysia until 2006. He spent one year at Kainan University in Taiwan and rejoined IIUM University in Kuala Lumpur Malaysia in 2007. He has been a Professor at IIUM University since 2010. His current r

Wymiary: 468 gr 155 mm 235 mm

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