A robust multi-criteria fuzzy programming problem considering possibility measure

Takashi Hasuike, Hiroaki Ishii

研究成果: Article

2 引用 (Scopus)

抄録

This paper considers a multi-criteria mathematical decision model including fuzzy variables. As the proposed model is not well-defined due to fuzzy variables, thus to solve them directly and analytically, the possibility measure is introduced. Then, in order to aggregate the multi-criteria objective functions into the single-criterion, the fuzzy compromise programming model is proposed. Furthermore, by introducing the interval of each weight to the objective functions, the proposed model is reformulated as a robust programming problem. Since this problem is a semi-infinite programming problem, the an efficient algorithm is developed using the linearity of the proposed model. Finally, a numerical example is provided to compare proposed models with the basic model.

元の言語English
ページ(範囲)4907-4914
ページ数8
ジャーナルInternational Journal of Innovative Computing, Information and Control
5
発行部数12
出版物ステータスPublished - 2009 12
外部発表Yes

Fingerprint

Possibility Measure
Fuzzy Programming
Multi-criteria
Fuzzy Variable
Objective function
Compromise Programming
Semi-infinite Programming
Model
Decision Model
Linearity
Programming Model
Well-defined
Efficient Algorithms
Programming
Mathematical Model
Numerical Examples
Interval

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Information Systems
  • Software
  • Theoretical Computer Science

これを引用

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