Wonderful Solutions And Habitual Domains For Challenging Problems In Changeable Spaces
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Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces
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.
Trends in Multiple Criteria Decision Analysis
Author: Salvatore Greco
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-09-10
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents research from leaders in the field on such topics as Problem Structuring Methodologies; Measurement Theory and MCDA; Recent Developments in Evolutionary Multiobjective Optimization; Habitual Domains and Dynamic MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.
從決策到妙策
★ 「習慣領域」大師游伯龍最新應用著作，萬眾矚目重磅登場 ★ ☆ 透視決策的力量，三大妙策主軸活化「習慣領域」，激發無限創意 ☆ ☆ 剖析各種決策參數，優化決策能力，全面啟動「習慣領域」智慧電網 ☆ ☆ 開發大腦天賦無限潛能，助你脫困而出，開創「雙贏」局面 ☆ ☆ 系統性擴大加深策略思維模式，人性軟體升級突破再進化 ☆ ◤有人存在就有選擇，於是產生「策略」問題， 但策略不只要「好」，還要「妙」！◢ ▍什麼是習慣領域（Habitual Domains, HD）？ ▍ 習慣領域是我們腦海裡所有念頭思路（電網）的綜合，以及它的組織與運作。它是操作我們大腦中幾乎有無限潛能的人性軟體（human software）。我們腦中習慣領域裡的電網像是無形的鐵鍊，常常束縛並影響人們的行為和想法。習慣領域學說認為，人人都有無限潛能，只因不知不覺的習慣領域把自己束縛於某範圍，因而無法發揮原本所具有的潛能。要發揮我們的潛能，要讓我們的生活、生命發揮價值，必須突破習慣領域，讓我們的人性軟體不斷地升級，就可以幫助我們找到絕佳妙策。 ▍打造一流決策腦！三大妙策突破點：決策╳競局╳創新 ▍ 人人都有無限潛能，為什麼成果和成就卻千差萬別？這是因為每個人的思維、想法、作法（習慣領域）都不一樣。在追求目標的過程中，我們常面臨選擇，遇到抉擇問題時，用來解決問題的觀念、工具或方法也不一樣。如果一個人沒有警覺，在面臨決策問題時，他的思維，常可能讓他走進決策陷阱，做出錯誤的決定。 反觀另一種人，他的習慣領域靈活，能夠看到問題中各種「顯性的」和「隱性的」參數，面臨決策問題時能避開盲點、陷阱，做出好品質的決策。在競局中，格局較大，能轉化競局結構，不但追求自己贏，同時也強調所有關係人都贏，創造「雙贏」（win-win）結果。在創新方面，他知道自己有無限潛能，而且能夠有系統地擴大或加深他的思維或習慣領域，有效激發創意，創造並分享新價值，讓他的人性軟體不斷升級。 本書探討如何建構「妙的策略」，以「習慣領域」思考術及實例貫穿全書；有工具、有方法、有實例；書中詳述了決策過程中關於決策、競略及創新裡的各項參數，三個妙策主軸，各有運用時機，又互有關聯，也陳述了這三大主軸中可能遇到的壓力和煩惱，並提供系統化的分析與解決之道。