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Human-Centric Decision-Making Models for Social Sciences

  • Book
  • © 2014

Overview

Editors:
  1. Peijun Guo

    1. Faculty of Business Administration, Yokohama National University, Yokohama, Japan

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    You can also search for this editor in PubMed   Google Scholar

  2. Witold Pedrycz

    1. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Canada

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    You can also search for this editor in PubMed   Google Scholar

  • Recent research on Human-Centric Decision-Making Models for Social Sciences
  • Presents Computational Intelligence models for Social Sciences
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 502)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-viii
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  2. Decision Making in the Environment of Heterogeneous Uncertainty

    • Phan H. Giang
    Pages 1-32

  3. One-Shot Decision Theory: A Fundamental Alternative for Decision Under Uncertainty

    • Peijun Guo
    Pages 33-55

  4. On the Influence of Emotion on Decision Making: The Case of Charitable Giving

    • Ryan Kandrack, Gustav Lundberg
    Pages 57-73

  5. Decision Theory and Rules of Thumb

    • Konstantinos V. Katsikopoulos
    Pages 75-96

  6. Aggregating Imprecise Linguistic Expressions

    • Edurne Falcó, José Luis García-Lapresta, Llorenç Roselló
    Pages 97-113

  7. Risk Perception and Ambiguity in a Quantile Cumulative Prospect Theory

    • Marcello Basili
    Pages 115-130

  8. Effective Decision Making in Changeable Spaces, Covering and Discovering Processes: A Habitual Domain Approach

    • Moussa Larbani, Po Lung Yu
    Pages 131-161

  9. Decision Making Under Interval Uncertainty (and Beyond)

    • Vladik Kreinovich
    Pages 163-193

  10. Dealing with Imprecision in Consumer Theory: A New Approach to Fuzzy Utility Theory

    • David Gálvez Ruiz, José Luís Pino Mejías
    Pages 195-232

  11. Decision Making Under Z-Information

    • R. A. Aliev, Lala M. Zeinalova
    Pages 233-252

  12. Approximations of One-dimensional Expected Utility Integral of Alternatives Described with Linearly-Interpolated p-Boxes

    • N. D. Nikolova, S. Ivanova, K. Tenekedjiev
    Pages 253-287

  13. Human-Centric Cognitive Decision Support System for Ill-Structured Problems

    • Tasneem Memon, Jie Lu, Farookh Khadeer Hussain
    Pages 289-313

  14. Decision-Making Under Conditions of Multiple Values and Variation in Conditions of Risk and Uncertainty

    • Ewa Roszkowska, Tom R. Burns
    Pages 315-338

  15. Supporting Ill-Structured Negotiation Problems

    • Ewa Roszkowska, Jakub Brzostowski, Tomasz Wachowicz
    Pages 339-367

  16. Personalised Property Investment Risk Analysis Model in the Real Estate Industry

    • Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain
    Pages 369-390

  17. The Logic and Ontology of Assessment of Conditions in Older People

    • Patrik Eklund
    Pages 391-400

  18. Decision Making on Energy Options: A Case Study

    • V. Jain, D. Datta, A. Deshpande
    Pages 401-418
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Keywords

About this book

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.

 

 

 

Editors and Affiliations

  • Faculty of Business Administration, Yokohama National University, Yokohama, Japan

    Peijun Guo

  • Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

Bibliographic Information

  • Book Title: Human-Centric Decision-Making Models for Social Sciences

  • Editors: Peijun Guo, Witold Pedrycz

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-39307-5

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-39306-8Published: 13 November 2013

  • Softcover ISBN: 978-3-662-51069-8Published: 27 August 2016

  • eBook ISBN: 978-3-642-39307-5Published: 01 November 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VIII, 418

  • Number of Illustrations: 79 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Social Sciences, general

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