Human-Centric Decision-Making Models for Social Sciences

  • Peijun Guo
  • Witold Pedrycz

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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Konstantinos V. Katsikopoulos
    Pages 75-96
  3. Edurne Falcó, José Luis García-Lapresta, Llorenç Roselló
    Pages 97-113
  4. David Gálvez Ruiz, José Luís Pino Mejías
    Pages 195-232
  5. R. A. Aliev, Lala M. Zeinalova
    Pages 233-252
  6. Tasneem Memon, Jie Lu, Farookh Khadeer Hussain
    Pages 289-313
  7. Ewa Roszkowska, Jakub Brzostowski, Tomasz Wachowicz
    Pages 339-367
  8. Nur Atiqah Rochin Demong, Jie Lu, Farookh Khadeer Hussain
    Pages 369-390
  9. V. Jain, D. Datta, A. Deshpande
    Pages 401-418

About this book

Introduction

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.

 

 

 

Keywords

Computational Intelligence Human-Centric Decision-Making Models Social Sciences

Editors and affiliations

  • Peijun Guo
    • 1
  • Witold Pedrycz
    • 2
  1. 1.Faculty of Business AdministrationYokohama National UniversityYokohamaJapan
  2. 2.Department of Electrical & Computer EngineeringUniversity of AlbertaEdmontonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39307-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-39306-8
  • Online ISBN 978-3-642-39307-5
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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