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Inexact Programming
Blekinge Institute of Technology, School of Engineering.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Two types of fuzzy linear programming i.e. fuzzy number linear programming and interval number linear programming are used for optimization problems. In interval form of linear programming we convert the inequalities from the feasible region, containing intervals as coefficients, to two groups of inequalities characterized by real, exact coefficients values. Then classical programming has been used to achieve an optimal solution in the feasible region. In fuzzy number linear programming, α‐cuts and LR forms of fuzzy numbers as coefficients have been used to find optimal solution in the feasible region. Finally the numerical examples and their solutions are attached to provide explanations of procedures.

Place, publisher, year, edition, pages
2012. , 49 p.
Keyword [en]
Fuzzy Numbers LR Form, α‐cuts , Interval Number, Inexact Programming
National Category
Mathematics Mathematical Analysis
Identifiers
URN: urn:nbn:se:bth-4351Local ID: oai:bth.se:arkivex5317FC988A2F49C9C125799500819038OAI: oai:DiVA.org:bth-4351DiVA: diva2:831686
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Available from: 2015-04-22 Created: 2012-01-31 Last updated: 2015-06-30Bibliographically approved

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fulltext(1635 kB)166 downloads
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School of Engineering
MathematicsMathematical Analysis

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf