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Human-Centric Decision-Making Models for Social Sciences (Hardcover, 2014 ed.)
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Human-Centric Decision-Making Models for Social Sciences (Hardcover, 2014 ed.)
Series: Studies in Computational Intelligence, 502
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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.
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