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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 5/2019

06.03.2018 | S.I. : Emerging Intelligent Algorithms for Edge-of-Things Computing

A novel method for solving the fully neutrosophic linear programming problems

verfasst von: Mohamed Abdel-Basset, M. Gunasekaran, Mai Mohamed, Florentin Smarandache

Erschienen in: Neural Computing and Applications | Ausgabe 5/2019

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Abstract

The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its simplicity and efficiency. However, in order to handle the impreciseness in the data, the neutrosophic set theory plays a vital role which makes a simulation of the decision-making process of humans by considering all aspects of decision (i.e., agree, not sure and disagree). By keeping the advantages of it, in the present work, we have introduced the neutrosophic LP models where their parameters are represented with a trapezoidal neutrosophic numbers and presented a technique for solving them. The presented approach has been illustrated with some numerical examples and shows their superiority with the state of the art by comparison. Finally, we conclude that proposed approach is simpler, efficient and capable of solving the LP models as compared to other methods.
Vorheriger Artikel Optimal body mass index cutoff point for cardiovascular disease and high blood pressure
Nächster Artikel Abnormal event detection with semi-supervised sparse topic model

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Metadaten
Titel
A novel method for solving the fully neutrosophic linear programming problems
verfasst von
Mohamed Abdel-Basset
M. Gunasekaran
Mai Mohamed
Florentin Smarandache
Publikationsdatum
06.03.2018
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 5/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-018-3404-6

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