| 書目名稱 | Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces | | 副標(biāo)題 | From Theoretical Fra | | 編輯 | Moussa Larbani,Po-Lung Yu | | 視頻video | http://file.papertrans.cn/1031/1030668/1030668.mp4 | | 概述 | Introduces a new decision theory, Optimization in Changeable Spaces.Illustrates how to expand competences, handle environmental, psychological and behavioral aspects and their dynamics when solving ch | | 圖書封面 |  | | 描述 | 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 decisio | | 出版日期 | Book 2017 | | 關(guān)鍵詞 | 7-8-9 Principles of deep knowledge for HD expansion; Competence Set Analysis; Competence Set Analysis; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-1981-4 | | isbn_softcover | 978-981-10-9494-1 | | isbn_ebook | 978-981-10-1981-4 | | copyright | Springer Science+Business Media Singapore 2017 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-6 14:16
發(fā)表于 2025-3-21 16:55:56
