On finding compromise solutions in multicriteria problems using the fuzzy min-operator
Fuzzy Sets and SystemsPublished 1 September 1981
Heiner Leberling
Citations230
SJR quartileQ1
SJR score0.75
SNIP1.25
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TL;DR
It is shown that using the fuzzy min-operator together with linear as well as special nonlinear membership functions the obtained solutions are always compromise solutions of the original multicriteria problem.
Abstract
This paper presents an application of fuzzy approaches to the linear vectormaximum problem. It shows that using the fuzzy min-operator together with linear as well as special nonlinear membership functions the obtained solutions are always compromise solutions of the original multicriteria problem.
Keywords
Computer ScienceDecision SciencesEngineering
Fuzzy Sets and SystemsFuzzy programming and linear programming with several objective functions
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