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A Stackelberg Location on a Network with Fuzzy Random Demand Quantities Using Possibility Measure

  • Takeshi Uno
  • Hideki Katagiri
  • Kosuke Kato
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 15)

Abstract

This paper focuses on a competitive facility location problem between leader and follower on a network with demands whose weights are given uncertainly and vaguely. By representing them as fuzzy random variables, the optimal location problem can be formulated as a fuzzy random programming problem for finding Stackelberg equilibrium. For solving the problem, it is reformulated as the problem to find the optimal solutions maximizing a degree of possibility under some chance constraint for the leader. Theorems for its complexity are shown based upon the characteristics of the facility location.

Keywords

Fuzzy Number Facility Location Tree Network Fuzzy Goal Chance Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Institute of Socio-Arts and SciencesThe University of TokushimaTokushima-shiJapan
  2. 2.Graduate School of EngineeringHiroshima UniversityHigashihiroshima-shiJapan
  3. 3.Faculty of Applied Information ScienceHiroshima Institute of TechnologySaeki-kuJapan

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