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03617nam a2200505 4500 |
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978-3-030-17421-7 |
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DE-He213 |
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20191206171225.0 |
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|a 9783030174217
|9 978-3-030-17421-7
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|a 10.1007/978-3-030-17421-7
|2 doi
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|a Nasseri, Seyed Hadi.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Fuzzy Linear Programming: Solution Techniques and Applications
|h [electronic resource] /
|c by Seyed Hadi Nasseri, Ali Ebrahimnejad, Bing-Yuan Cao.
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| 250 |
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a XVIII, 232 p. 13 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 379
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|a Preliminaries and Backgrounds -- Fuzzy Linear Programming -- Fuzzy Number Linear Programming -- Linear Programming with Fuzzy Variables -- Semi-Fully Fuzzy Linear Programming -- Application for the Flexible Linear Programming.
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|a This book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques. These models and methods belong to three common classes of fuzzy linear programming, namely: (i) FLP problems in which all coefficients are fuzzy numbers, (ii) FLP problems in which the right-hand-side vectors and the decision variables are fuzzy numbers, and (iii) FLP problems in which the cost coefficients, the right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially generalizes the well-known solution algorithms used in linear programming to the fuzzy environment. Accordingly, it can be used not only as a textbook, teaching material or reference book for undergraduate and graduate students in courses on applied mathematics, computer science, management science, industrial engineering, artificial intelligence, fuzzy information processes, and operations research, but can also serve as a reference book for researchers in these fields, especially those engaged in optimization and soft computing. For textbook purposes, it also includes simple and illustrative examples to help readers who are new to the field.
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|a Computational intelligence.
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|a Artificial intelligence.
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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|a Ebrahimnejad, Ali.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Cao, Bing-Yuan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783030174194
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| 776 |
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|i Printed edition:
|z 9783030174200
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|i Printed edition:
|z 9783030183943
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| 830 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 379
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| 856 |
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|u https://doi.org/10.1007/978-3-030-17421-7
|z Full Text via HEAL-Link
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|a ZDB-2-INR
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|a Intelligent Technologies and Robotics (Springer-42732)
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