LEADER 03237nam 2200637Ia 450 001 9910972549703321 005 20251116150403.0 010 $a1-280-52518-5 010 $a9786610525188 010 $a1-4237-2925-0 010 $a0-19-536223-3 010 $a1-60129-783-1 035 $a(CKB)1000000000028595 035 $a(OCoLC)228117584 035 $a(CaPaEBR)ebrary10087140 035 $a(SSID)ssj0000157046 035 $a(PQKBManifestationID)11163260 035 $a(PQKBTitleCode)TC0000157046 035 $a(PQKBWorkID)10138187 035 $a(PQKB)11372486 035 $a(MiAaPQ)EBC3051918 035 $a(Au-PeEL)EBL3051918 035 $a(CaPaEBR)ebr10087140 035 $a(CaONFJC)MIL52518 035 $a(OCoLC)922952540 035 $a(MiAaPQ)EBC271484 035 $a(Au-PeEL)EBL271484 035 $a(EXLCZ)991000000000028595 100 $a19931209d1993 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aForest dynamics $ean ecological model /$fDaniel B. Botkin 205 $a1st ed. 210 $aOxford ;$aNew York $cOxford University Press$d1993 215 $a1 online resource (326 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a0-19-506555-7 320 $aIncludes bibliographical references (p. 279-298) and index. 327 $aIntro -- Contents -- How to Use This Book -- 1 Nature and Knowing: Theory and Ecology -- 2 The Forest Environment -- 3 The Tree in the Forest: The Response of Populations of Trees to the Environment -- 4 Implications of the Model for the Dynamics of Forest -- 5 Testing and Comparing the Model with the Real World -- 6 Sensitivity of the Model to Errors in Observations and in Concepts -- 7 Use of the Model for Global Environmental Problems -- 8 Use of the Model in Natural Resource Management -- 9 General Implications of the Model -- APPENDIX I: Some Additional Mathematical Notes -- APPENDIX II: Equations, Variables, and Constants -- APPENDIX III: Additional Information on the Calculation of Environmental Conditions -- APPENDIX IV: Initial Stand Used in Tables 6.1 and 6.2 -- APPENDIX V: Field Measurements Required to Provide Initial Conditions for the JABOWA-II Forest Model -- APPENDIX VI: Publications That Cite the JABOWA Model or One of Its Descendants -- Glossary. 330 $a1. Nature and Knowing: Ecology and Theory2. The Forest Environment3. The Tree in the Forest4. Implications of the Model for the Dynamics of Forests5. Testing and Comparing the Model with the Real World6. Sensitivity of the Model7. The Use of the Model in Natural Resource Management8. The Use of the Model in Global Environmental Problems9. General Implications of the Model for Ecological Theory. 606 $aForest ecology$xComputer simulation 606 $aTrees$xGrowth$xComputer simulation 615 0$aForest ecology$xComputer simulation. 615 0$aTrees$xGrowth$xComputer simulation. 676 $a581.5/2642/0113 700 $aBotkin$b Daniel B$0708943 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910972549703321 996 $aForest dynamics$94465024 997 $aUNINA LEADER 03805nam 22007335 450 001 9910506383303321 005 20260204163005.0 010 $a3-030-73819-1 024 7 $a10.1007/978-3-030-73819-8 035 $a(CKB)5340000000068556 035 $a(MiAaPQ)EBC6793733 035 $a(Au-PeEL)EBL6793733 035 $a(OCoLC)1281585116 035 $a(DE-He213)978-3-030-73819-8 035 $a(PPN)258296682 035 $a(EXLCZ)995340000000068556 100 $a20211026d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence for Business Analytics /$fedited by Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (417 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v953 311 08$a3-030-73818-3 320 $aIncludes bibliographical references. 327 $aMulti-criteria method for evaluating the impact of informal trade on the Mariscal de Puyo market -- Multicriteria Analysis for LPWAN selection for Industry 4.0 based on TOPSIS and a model of Proportionality -- Comprehensive Minimum Cost Models Based on Consensus Measures -- Strategies for the Development and Success of Women Entrepreneurs through SWOT Analysis and Compensatory Fuzzy Logic -- Fuzzy logic-based approaches in supply chain risk management: a review. 330 $aCorporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments. Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v953 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBusiness mathematics 606 $aBusiness information services 606 $aComputational Intelligence 606 $aArtificial Intelligence 606 $aBusiness Mathematics 606 $aIT in Business 606 $aIntel·ligència computacional$2thub 606 $aNegocis$2thub 606 $aProcessament de dades$2thub 608 $aLlibres electrònics$2thub 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBusiness mathematics. 615 0$aBusiness information services. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aBusiness Mathematics. 615 24$aIT in Business. 615 7$aIntel·ligència computacional 615 7$aNegocis 615 7$aProcessament de dades 676 $a006.3 702 $aPedrycz$b Witold 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910506383303321 996 $aComputational intelligence for business analytics$92901720 997 $aUNINA