Z-Number-Based Linear Programming

Linear programming (LP) is the operations research technique frequently used in the fields of science, economics, business, management science, and engineering. Although it is investigated and applied for more than six decades, and LP models with different level of generalization of information abou...

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Vydáno v:International journal of intelligent systems Ročník 30; číslo 5; s. 563 - 589
Hlavní autoři: Aliev, R. A., Alizadeh, A. V., Huseynov, O. H., Jabbarova, K. I.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Blackwell Publishing Ltd 01.05.2015
John Wiley & Sons, Inc
Témata:
Business
Evolution
Fuzzy
Fuzzy logic
Fuzzy set theory
Intelligent systems
Linear programming
Mathematical models
Numbers
Random numbers
ISSN:0884-8173, 1098-111X
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Shrnutí:Linear programming (LP) is the operations research technique frequently used in the fields of science, economics, business, management science, and engineering. Although it is investigated and applied for more than six decades, and LP models with different level of generalization of information about parameters including models with interval, fuzzy, generalized fuzzy, and random numbers are considered, until now there is no approach to account for reliability of information within the framework of LP. Professor L. Zadeh introduced the concept of a Z‐number to describe uncertain information, which is a more generalized notion closely related to reliability. The use of Z‐information is more adequate and intuitively meaningful for formalizing information structure of a decision problem. In this paper, we suggest a study of fully Z‐number based LP (Z‐LP) model to better fit real‐world problems within the framework of LP. We propose the method to solve Z‐LP problems, which utilize differential evolution optimization and Z‐number arithmetic developed by the authors. The suggested model and solution method for Z‐LP are illustrated on the basis of a benchmark LP problem, where we conduct comparative analysis, which shows validity of the approach.
Bibliografie:istex:EE1BDB7A85627E0167FB09BD242A533F58AD69B8
ArticleID:INT21709
ark:/67375/WNG-FGZD6C5J-9
konul.jabbarova@mail.ru
akifoder@yahoo.com
e‐mail
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oleg_huseynov@yahoo.com
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ISSN:0884-8173
1098-111X
DOI:10.1002/int.21709