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Neue Basisinnovationen wie die UMTS-Technologie ermöglichen es Unternehmen, neue Produkte und Dienste zu entwickeln, die deutlich von bisherigen Nutzungsgewohnheiten und Kundenbedürfnissen abweichen. Um neue Dienste marktfähig zu gestalten, müssen Unternehmen nicht nur die ungewohnten Herausforderungen der neuen Technologie meistern, sondern auch die noch unbekannten Kundenbedürfnisse erforschen, gegebenenfalls visionär entwickeln. Daher können klassische Prozesse der Produktentwicklung nicht angewendet werden. Matthias Möller zeigt, dass Unternehmen diese Aufgaben bewältigen können, indem sie sich durch einen iterativen Prozess des Ausprobierens und Lernens in Innovationsexperimenten marktfähigen Diensten annähern. Er untersucht zudem, wie bei diskontinuierlichen Innovationen Kunden als wichtige Quelle für bedürfnisbezogene Informationen in den Prozess integriert werden können. Studien und Innovationsexperimente aus dem Bereich mobiler Dienste reflektieren die theoretischen Ergebnisse.
Management. --- Industrial management. --- Innovation/Technology Management.
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Die Brücke --- Expressionisme --- 20e eeuw
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This book deals with uncertainty forecasting based on a fuzzy time series approach, including fuzzy random processes and artificial neural networks. A consideration of data and measurement uncertainty enhances forecasting in a wide range of applications, particularly in the fields of engineering, environmental science and civil engineering. Uncertain data are described by means of a new incremental fuzzy representation which permits a complete and accurate estimation of uncertainty. The book is aimed at engineers as well as professionals working in related fields. Descriptive, modeling and forecasting methods pertaining to fuzzy time series are introduced and explained in detail. Emphasis is placed on forecasting with the aid of fuzzy random processes, such as fuzzy ARMA processes and fuzzy white-noise processes, as well as forecasting based on artificial neural networks. All numerical algorithms are comprehensively described and demonstrated by way of practical examples.
Engineering --- Uncertainty. --- Fuzzy mathematics. --- Mathematical models. --- Mathematics --- Reasoning --- Statistics. --- Mechanics, applied. --- Distribution (Probability theory. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Theoretical and Applied Mechanics. --- Monitoring/Environmental Analysis. --- Building Construction and Design. --- Probability Theory and Stochastic Processes. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Applied mechanics --- Engineering, Mechanical --- Engineering mathematics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics . --- Mechanics. --- Mechanics, Applied. --- Environmental monitoring. --- Buildings—Design and construction. --- Building. --- Construction. --- Engineering, Architectural. --- Probabilities. --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Classical mechanics --- Newtonian mechanics --- Physics --- Dynamics --- Quantum theory --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Architectural engineering --- Buildings --- Construction --- Construction science --- Engineering, Architectural --- Structural design --- Structural engineering --- Architecture --- Construction industry --- Measurement --- Monitoring --- Design and construction --- Architecture. --- Engineering. --- Industrial arts --- Technology --- Architecture, Western (Western countries) --- Building design --- Western architecture (Western countries) --- Art --- Building --- Architecture, Primitive
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Swedish poetry --- Women and literature --- Women authors --- History and criticism --- History --- Schoultz, Solveig von, --- Criticism and interpretation.
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Engineering --- Fuzzy mathematics. --- Uncertainty. --- Mathematical models.
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