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International Journal of Contemporary Mathematical Sciences
Article . 2007 . Peer-reviewed
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https://dx.doi.org/10.12988/ij...
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Fuzzy programming based on interval-valued fuzzy numbers and ranking

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2007Publisher:Hikari, Ltd.Journal:International Journal of Contemporary Mathematical Sciences, volume 2, pages 393-410 (eissn: 1314-7544, Copyright policy )
Authors: Jin-Shieh Su;

doi: 10.12988/ijcms.2007.07033

Fuzzy programming based on interval-valued fuzzy numbers and ranking

Abstract

In this paper, we use interval-valued fuzzy numbers to fuzzify the crisp linear programming to three cases. The first case, we use intervalvalued fuzzy numbers to fuzzify the coefficients in the objective function. We get a linear programming in the fuzzy sense. The second case, we use interval-valued fuzzy numbers to fuzzify the coefficients akj in the constraints about xj,j =1 , 2, ··· ,nand the constants bk,k =1 , 2, ··· ,m. We also get a linear programming in the fuzzy sense. The third case, we combine the first and the second cases.

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    influence
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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!
12
Average
Top 10%
Average
gold