Human-Centric Decision-Making Models for Social Sciences

✍ Scribed by Phan H. Giang (auth.), Peijun Guo, Witold Pedrycz (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2014
• Tongue: English
• Leaves: 418
• Series: Studies in Computational Intelligence 502
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Decision Making in the Environment of Heterogeneous Uncertainty....Pages 1-32
One-Shot Decision Theory: A Fundamental Alternative for Decision Under Uncertainty....Pages 33-55
On the Influence of Emotion on Decision Making: The Case of Charitable Giving....Pages 57-73
Decision Theory and Rules of Thumb....Pages 75-96
Aggregating Imprecise Linguistic Expressions....Pages 97-113
Risk Perception and Ambiguity in a Quantile Cumulative Prospect Theory....Pages 115-130
Effective Decision Making in Changeable Spaces, Covering and Discovering Processes: A Habitual Domain Approach....Pages 131-161
Decision Making Under Interval Uncertainty (and Beyond)....Pages 163-193
Dealing with Imprecision in Consumer Theory: A New Approach to Fuzzy Utility Theory....Pages 195-232
Decision Making Under Z-Information....Pages 233-252
Approximations of One-dimensional Expected Utility Integral of Alternatives Described with Linearly-Interpolated p- Boxes....Pages 253-287
Human-Centric Cognitive Decision Support System for Ill-Structured Problems....Pages 289-313
Decision-Making Under Conditions of Multiple Values and Variation in Conditions of Risk and Uncertainty....Pages 315-338
Supporting Ill-Structured Negotiation Problems....Pages 339-367
Personalised Property Investment Risk Analysis Model in the Real Estate Industry....Pages 369-390
The Logic and Ontology of Assessment of Conditions in Older People....Pages 391-400
Decision Making on Energy Options: A Case Study....Pages 401-418

✦ Subjects

Computational Intelligence; Artificial Intelligence (incl. Robotics); Social Sciences, general