001433228 000__ 03302cam\a2200673\i\4500
001433228 001__ 1433228
001433228 003__ OCoLC
001433228 005__ 20230309003555.0
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001433228 008__ 201122s2021\\\\sz\\\\\\o\\\\\000\0\eng\d
001433228 019__ $$a1224141531$$a1224361172$$a1237454980$$a1238203623
001433228 020__ $$a9783030438975$$q(electronic bk.)
001433228 020__ $$a303043897X$$q(electronic bk.)
001433228 020__ $$z9783030438968
001433228 020__ $$z3030438961
001433228 0247_ $$a10.1007/978-3-030-43897-5$$2doi
001433228 035__ $$aSP(OCoLC)1228844554
001433228 040__ $$aUPM$$beng$$epn$$cUPM$$dOCLCO$$dOCLCQ$$dYDXIT$$dOCLCF$$dGW5XE$$dEBLCP$$dYDX$$dOCLCO$$dDCT$$dN$T$$dOCL$$dOCLCQ$$dOCLCO$$dOCLCQ
001433228 049__ $$aISEA
001433228 050_4 $$aHF5415.153
001433228 050_4 $$aQ335$$b.R45 2021
001433228 08204 $$a658.5/75$$223
001433228 08204 $$a006.3$$223
001433228 1001_ $$aRelich, Marcin,$$eauthor.
001433228 24510 $$aDecision support for product development :$$busing computational intelligence for information acquisition in enterprise databases /$$cMarcin Relich.
001433228 264_1 $$aCham :$$bSpringer,$$c2021.
001433228 300__ $$a1 online resource
001433228 336__ $$atext$$btxt$$2rdacontent
001433228 337__ $$acomputer$$bc$$2rdamedia
001433228 338__ $$aonline resource$$bcr$$2rdacarrier
001433228 347__ $$atext file
001433228 347__ $$bPDF
001433228 4901_ $$aComputational Intelligence Methods and Applications,$$x2510-1765
001433228 5050_ $$aProduct Development: State of the Art and Challenges -- Model for Formulating Decision Problems Within Portfolio Management -- Method for Supporting Product Development -- A Decision Support System for Portfolio Management of NPD Projects -- Implications for Management.
001433228 506__ $$aAccess limited to authorized users.
001433228 520__ $$aThis book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling. The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.
001433228 650_0 $$aNew products$$xDecision making.
001433228 650_0 $$aDecision making$$xData processing.
001433228 650_0 $$aArtificial intelligence.
001433228 650_0 $$aComputational intelligence.
001433228 650_0 $$aManagement.
001433228 650_0 $$aIndustrial management.
001433228 650_6 $$aPrise de décision$$xInformatique.
001433228 650_6 $$aIntelligence artificielle.
001433228 650_6 $$aIntelligence informatique.
001433228 650_6 $$aGestion.
001433228 650_6 $$aGestion d'entreprise.
001433228 655_0 $$aElectronic books.
001433228 77608 $$iPrint version:$$z9783030438968
001433228 77608 $$iPrint version:$$z9783030438982
001433228 77608 $$iPrint version:$$z9783030438999
001433228 830_0 $$aComputational Intelligence Methods and Applications,$$x2510-1765
001433228 852__ $$bebk
001433228 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-43897-5$$zOnline Access$$91397441.1
001433228 909CO $$ooai:library.usi.edu:1433228$$pGLOBAL_SET
001433228 980__ $$aBIB
001433228 980__ $$aEBOOK
001433228 982__ $$aEbook
001433228 983__ $$aOnline
001433228 994__ $$a92$$bISE