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Applied Mathematical Modelling
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Applied Mathematical Modelling
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Solving fuzzy multi-objective linear programming problems using deviation degree measures and weighted max–min method

Solving fuzzy multi-objective linear programming problems using deviation degree measures and weighted max-min method
descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2013 English Publisher:Elsevier BVJournal:Applied Mathematical Modelling, volume 37, pages 6,855-6,869 (issn: 0307-904X, Copyright policy )
Authors: Cheng HF; Huang WL; Zhou Q; Cai JH;

doi: 10.1016/j.apm.2013.01.048

Solving fuzzy multi-objective linear programming problems using deviation degree measures and weighted max–min method

Abstract

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Keywords

0103 Numerical and Computational Mathematics, fuzzy multi-objective linear programming, Fuzzy multi-objective linear programming, Weighted max–min method, Deviation degree, 0102 Applied Mathematics, Linear programming, triangular fuzzy numbers, 0801 Artificial Intelligence and Image Processing, 518, deviation degree, weighted max-min method, Fuzzy constraints, Fuzzy and other nonstochastic uncertainty mathematical programming, Triangular fuzzy numbers, Multi-objective and goal programming, fuzzy constraints

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
hybrid