Human-centric decision-making models for social sciences [electronic resource] / Peijun Guo, Witold Pedrycz, editors.
Guo, Peijun, 1969-, editor of compilation.; Pedrycz, Witold, 1953-, editor of compilation.
2014
HD30.23
Available Online

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Title Human-centric decision-making models for social sciences [electronic resource] / Peijun Guo, Witold Pedrycz, editors.
ISBN 9783642393075 electronic book
3642393071 electronic book
9783642393068
DOI https://doi.org/10.1007/978-3-642-39307-5
Published Heidelberg : Springer, 2014.
Language English
Description 1 online resource (viii, 418 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-642-39307-5 doi
Call Number HD30.23
Dewey Decimal Classification 658.4/0301
Summary The volume delivers a wealth of effective methods to deal with various types of uncertainty inherently existing in human-centric decision problems. It elaborates on comprehensive decision frameworks to handle different decision scenarios, which help use effectively the explicit and tacit knowledge and intuition, model perceptions and preferences in a more human-oriented style. The book presents original approaches and delivers new results on fundamentals and applications related to human-centered decision making approaches to business, economics and social systems. Individual chapters cover multi-criteria (multiattribute) decision making, decision making with prospect theory, decision making with incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New emerging decision theories being presented as along with a wide spectrum of ongoing research make the book valuable to all interested in the field of advanced decision-making. The volume, self-contained in its nature, offers a systematic exposure to the concepts, design methodologies, and detailed algorithms. A prudent balance between the theoretical studies and applications makes the material suitable for researchers and graduate students in information, computer sciences, psychology, cognitive science, economics, system engineering, operation research and management science, risk management, public and social policy.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed November 4, 2013).
Added Author Guo, Peijun, 1969-, editor of compilation.
Pedrycz, Witold, 1953-, editor of compilation.
Series Studies in computational intelligence ; v.502. 1860-949X
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Approximations of one-dimensional expected utility integral of alternatives described with linearly-interpolated p-boxes
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