Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces

From Theoretical Framework to Applications

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Éditeur :

Springer


Paru le : 2016-08-24



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Description
This book introduces a new paradigm called ‘Optimization 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 7-8-9 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 real-life 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 e-economics, 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 in DBA and/or MBA.
Pages
275 pages
Collection
n.c
Parution
2016-08-24
Marque
Springer
EAN papier
9789811019791
EAN PDF
9789811019814

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
4577 Ko
Prix
94,94 €
EAN EPUB
9789811019814

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
1331 Ko
Prix
94,94 €

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