A Study on alliance analysis in civil aviation industry based on fuzzy landscape theory

  • Shigemasa Suganuma
  • Jian Chen
  • Yoshiteru Nakamori
Conference paper
Part of the Agent-Based Social Systems book series (ABSS, volume 1)


The concept of landscape theory provides a way of thinking about the many possible ways in which elements of a system can fit together, predicting which configurations are most likely to occur, how much dissatisfaction with the outcomes is inevitable, and how the system will respond to changes in the relationship between the elements. Recently we extended landscape theory using the notion of fuzzy partitions.

In this paper we study the formation of competing alliances by companies who wish to increase their own business efficiency in the civil aviation industry. The purpose of this paper is to evaluate the fuzzy landscape theory by using an airline industry case.

Key words

Landscape theory Global alliance civil aviation Membership value 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Air Transport World (2004) ( Scholar
  2. Axelrod R (1997) The Complexity of Cooperation. Princeton University Press, Princeton, New Jersey, USAGoogle Scholar
  3. Japan Aircraft Development Corporation (2003) Associated information’s of civil aviation on 2002yrs, (in Japanese), 4-3 ( Scholar
  4. Kijima K (2001) Generalized landscape theory: Agent-based approach to alliance formations, Civil Aviation Industry, Journal of Systems Science and Complexity 14(2) pp. 113–123zbMATHGoogle Scholar
  5. Kijima K (2001) Invitation to Drama Theory Ohmsha, (in Japanese), pp. 58–63, pp.140–156Google Scholar
  6. Kaufman L, Rousseeuw P J (1990) Finding Groups in Data-An Introduction to Cluster Analysis New York: WileyGoogle Scholar
  7. Sugiura K (1999) Big Airlines of the World (in Japanese), Chuuou ShoinGoogle Scholar
  8. Suganuma S, V N Huynh, Wang S, Y. Nakamori (2005) A Fuzzy Set Based Approach to Generalized Landscape Theory of Aggregation Journal of New Generation Computing: Computing Paradigms and Computational Intelligence, Vol. 23 No. 1, Ohmsha, pp.57–66Google Scholar

Copyright information

© Springer-Verlag Tokyo 2005

Authors and Affiliations

  • Shigemasa Suganuma
    • 1
  • Jian Chen
    • 2
  • Yoshiteru Nakamori
    • 1
  1. 1.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyIshikawaJapan
  2. 2.School of Economics and ManagementTsinghua UniversityBeijingChina

Personalised recommendations