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024 7 $a10.1007/978-3-030-17421-7
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035   $a(DE-He213)978-3-030-17421-7
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035   $z(PPN)258847735
035   $a(PPN)24376877X
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100   $a20190528d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFuzzy Linear Programming: Solution Techniques and Applications /$fby Seyed Hadi Nasseri, Ali Ebrahimnejad, Bing-Yuan Cao
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XVIII, 232 p. 13 illus.) 
225 1 $a ;$v379
311   $a3-030-17419-0 
320   $aIncludes bibliographical references.
327   $aPreliminaries 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.
330   $aThis book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques. These models and methods belong to three common classes of fuzzy linear programming, namely: (i) FLP problems in which all coefficients are fuzzy numbers, (ii) FLP problems in which the right-hand-side vectors and the decision variables are fuzzy numbers, and (iii) FLP problems in which the cost coefficients, the right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially generalizes the well-known solution algorithms used in linear programming to the fuzzy environment. Accordingly, it can be used not only as a textbook, teaching material or reference book for undergraduate and graduate students in courses on applied mathematics, computer science, management science, industrial engineering, artificial intelligence, fuzzy information processes, and operations research, but can also serve as a reference book for researchers in these fields, especially those engaged in optimization and soft computing. For textbook purposes, it also includes simple and illustrative examples to help readers who are new to the field.
410  0$a ;$v379
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
676   $a511.322
676   $a006.3
700   $aNasseri$b Seyed Hadi$4aut$4http://id.loc.gov/vocabulary/relators/aut$01224819
702   $aEbrahimnejad$b Ali$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aCao$b Bing-Yuan$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483599003321
996   $aFuzzy Linear Programming: Solution Techniques and Applications$92843937
997   $aUNINA