Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications

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 m...

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Bibliographic Details
Main Authors: Larbani, Moussa, Yu, Pu-Long
Format: Book
Language:English
English
Published: Springer Singapore 2016
Subjects:
Online Access:http://irep.iium.edu.my/58759/
http://irep.iium.edu.my/58759/
http://irep.iium.edu.my/58759/
http://irep.iium.edu.my/58759/7/58759_Wonderful%20solutions%20and%20habitual%20domains%20for%20challenging%20problems%20in%20changeable%20spaces_SCOPUS.pdf
http://irep.iium.edu.my/58759/13/58759_Wonderful%20solutions%20and%20habitual%20domains.pdf
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recordtype eprints
spelling iium-587592019-04-18T04:21:31Z http://irep.iium.edu.my/58759/ Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications Larbani, Moussa Yu, Pu-Long HB Economic Theory 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. Springer Singapore 2016 Book PeerReviewed application/pdf en http://irep.iium.edu.my/58759/7/58759_Wonderful%20solutions%20and%20habitual%20domains%20for%20challenging%20problems%20in%20changeable%20spaces_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/58759/13/58759_Wonderful%20solutions%20and%20habitual%20domains.pdf Larbani, Moussa and Yu, Pu-Long (2016) Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications. Springer Singapore. ISBN 978-981-10-1979-1 http://www.springer.com/gp/book/9789811019791#aboutBook 10.1007/978-981-10-1981-4
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic HB Economic Theory
spellingShingle HB Economic Theory
Larbani, Moussa
Yu, Pu-Long
Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
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.
format Book
author Larbani, Moussa
Yu, Pu-Long
author_facet Larbani, Moussa
Yu, Pu-Long
author_sort Larbani, Moussa
title Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
title_short Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
title_full Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
title_fullStr Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
title_full_unstemmed Wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
title_sort wonderful solutions and habitual domains for challenging problems in changeable spaces: from theoretical framework to applications
publisher Springer Singapore
publishDate 2016
url http://irep.iium.edu.my/58759/
http://irep.iium.edu.my/58759/
http://irep.iium.edu.my/58759/
http://irep.iium.edu.my/58759/7/58759_Wonderful%20solutions%20and%20habitual%20domains%20for%20challenging%20problems%20in%20changeable%20spaces_SCOPUS.pdf
http://irep.iium.edu.my/58759/13/58759_Wonderful%20solutions%20and%20habitual%20domains.pdf
first_indexed 2023-09-18T21:23:08Z
last_indexed 2023-09-18T21:23:08Z
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