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Human-Centric Decision-Making Models for Social Sciences

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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.

Availability
Inventory Code Barcode Call Number Location Status
1408000723EB0003400658.403 01 HumCentral Library (Database Springer E-Book)Available
Detail Information
Series Title
Studies in Computational Intelligence
Call Number
658.403 01 Hum
Publisher
Berlin Heidelberg : Springer Berlin, Heidelberg.,
Collation
viii, 418p.: Ill.
Language
English
ISBN/ISSN
978-3-642-39307-5
Classification
658.403 01
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Decision making--Psychological aspects
Decision making--Simulation methods
Specific Detail Info
-
Statement of Responsibility
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No other version available

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