Human-Centric Decision-Making Models for Social Sciences

• Corporate Author: SpringerLink (Online service)
• Other Authors: Guo, Peijun (Editor), Pedrycz, Witold (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: Studies in Computational Intelligence, 502
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Social sciences.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Social Sciences, general.

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...

Table of Contents:

• Decision making in the environment of heterogeneous uncertainty
• One-Shot Decision Theory: A Fundamental Alternative for Decision under Uncertainty
• On the Influence of Emotion on Decision Making: The Case of Charitable Giving
• Decision Theory and Rules of Thumb
• Aggregating Imprecise Linguistic Expressions
• Risk Perception and Ambiguity in a Quantile Cumulative Prospect Theory
• Effective Decision Making in Changeable Spaces, Covering and Discovering Processes: A Habitual Domain Approach
• Decision Making under Interval Uncertainty (and Beyond)
• Dealing with imprecision in consumer theory: A new approach to Fuzzy Utility Theory
• Decision making under Z-information
• Approximations of one-dimensional expected utility integral of alternatives described with linearly-interpolated p-boxes
• Human-Centric Cognitive Decision Support System for Ill-Structured Problems.