LEADER 03967nam 22006015 450 001 9910350249003321 005 20200630085036.0 010 $a981-13-5823-0 024 7 $a10.1007/978-981-13-5823-4 035 $a(CKB)4100000007598354 035 $a(DE-He213)978-981-13-5823-4 035 $a(MiAaPQ)EBC5922751 035 $a(PPN)23379722X 035 $a(EXLCZ)994100000007598354 100 $a20190131d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFuzzy Geometric Programming Techniques and Applications /$fby Sahidul Islam, Wasim Akram Mandal 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (XXI, 359 p. 69 illus., 10 illus. in color.) 225 1 $aForum for Interdisciplinary Mathematics,$x2364-6748 311 $a981-13-5822-2 327 $aChapter 1. Introduction to Fuzzy Set Theory -- Chapter 2. Fuzzy Numbers & Fuzzy Optimization -- Chapter 3. Preliminary concepts of Geometric Programming Model -- Chapter 4. Fuzzy Unconstrained Geometric Programming Problem -- Chapter 5. Fuzzy Unconstrained Modified Geometric Programming Problem -- Chapter 6. Fuzzy Constrained Geometric Programming Problem -- Chapter 7. Fuzzy Constrained Fuzzy Modified Geometric Programming Problem -- Chapter 8. Signomial Geometric Programming Problem -- Chapter 9. Fuzzy Signomial Geometric Programming (GP) Problem -- Chapter 10. Goal Geometric Programming -- Chapter 11. Fuzzy Non-linear Programming -- Chapter 12. Geometric Programming Methods under Uncertainty -- Chapter 13. Intuitionistic & Neutrosophic Geometric Programming Problem. 330 $aThis book develops the concepts of various unique optimization techniques in the crisp and fuzzy environment. It provides an extensive overview of geometric programming methods within a unifying framework, and presents an in-depth discussion of the modified geometric programming problem, fuzzy geometric programming, as well as new insights into goal geometric programming. With numerous examples and exercises together with detailed solutions for several problems, the book also addresses fuzzy multi-objective geometric programming techniques. Geometric programming, which falls into the general class of signomial problems, has applications across disciplines, from engineering to economics, and is extremely useful in applications of a variety of optimization problems. Organized into thirteen chapters, this book is a valuable resource for graduate and advanced undergraduate students and researchers in applied mathematics and engineering. 410 0$aForum for Interdisciplinary Mathematics,$x2364-6748 606 $aOperations research 606 $aManagement science 606 $aMathematical optimization 606 $aNumerical analysis 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aDiscrete Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26040 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 615 0$aOperations research. 615 0$aManagement science. 615 0$aMathematical optimization. 615 0$aNumerical analysis. 615 14$aOperations Research, Management Science. 615 24$aDiscrete Optimization. 615 24$aNumerical Analysis. 676 $a516 700 $aIslam$b Sahidul$4aut$4http://id.loc.gov/vocabulary/relators/aut$0781857 702 $aMandal$b Wasim Akram$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910350249003321 996 $aFuzzy Geometric Programming Techniques and Applications$92534584 997 $aUNINA