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        Real-Life Decision-Making

        Proposal review

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        Author(s)
        Danielson, Mats
        Ekenberg, Love
        Language
        English
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        Abstract
        Have you ever experienced a decision situation that was hard to come to grips with? Did you ever feel a need to improve your decision-making skills? Is this something where you feel that you have not learned enough practical and useful methods? In that case, you are not alone! Even though decision-making is both considered and actually is a very important skill in modern work-life as well as in private life, these skills are not to any reasonable extent taught in schools at any level. No wonder many people do indeed feel the need to improve but have a hard time finding out how. This book is an attempt to remedy this shortcoming of our educational systems and possibly also of our common, partly intuition-based, decision culture. Intuition is not at all bad, quite the contrary, but it has to co-exist with rationality. We will show you how. Methods for decision-making should be of prime concern to any individual or organisation, even if the decision processes are not always explicitly or even consciously formulated. All kinds of organisations, as well as individuals, must continuously make decisions of the most varied nature in order to prosper and attain their objectives. A large part of the time spent in any organisation, not least at management levels, is spent gathering, processing, and compiling information for the purpose of making decisions supported by that information. The same interest has hitherto not been shown for individual decision-making, even though large gains would also be obtained at a personal level if important personal decisions were better deliberated. This book aims at changing that and thus attends to both categories of decision-makers. This book will take you through a journey starting with some history of decision-making and analysis and then go through easy-to-learn ways of structuring decision information and methods for analysing the decision situations, beginning with simple decision situations and then moving on to progressively harder ones, but never losing sight of the overarching goal that the reader should be able to follow the progression and being able to carry out similar decision analyses in real-life situations. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
        URI
        https://library.oapen.org/handle/20.500.12657/101527
        Keywords
        decision-making skills; rational decisions; structuring decision information; Bayesian Decision Analysis; Guidelines for Real-Life Decisions; Decison Theory; Miscellanea Analytica; Nicolaus Bernoulli; Real World Methods; Imprecise Probability; Pilot Method; Decision Situation; Descriptive Decision Theory; Sub-criteria Level; Laplace's Rule; Petersburg Paradox; Multi-criteria Decision; Real Life Decision; AHP Method; Chance Nodes; Current Decision Situation; Smart; Pairwise Ratios; Level L4; Energy Policy
        DOI
        10.1201/9781003406709
        ISBN
        9781000936896, 9781000936896, 9781032524399, 9781003406709, 9781000936940, 9781032524382
        OCN
        1373081424
        Publisher
        Taylor & Francis
        Publisher website
        https://taylorandfrancis.com/
        Publication date and place
        2023
        Imprint
        CRC Press
        Classification
        Probability and statistics
        Digital and information technologies: social and ethical aspects
        Artificial intelligence
        Digital and information technologies: Legal aspects
        Internet guides and online services
        Computer architecture and logic design
        Computer networking and communications
        Engineering: general
        Ergonomics
        Pages
        140
        Rights
        https://creativecommons.org/licenses/by/4.0/
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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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