Aggregation Functions: A Guide for Practitioners
- Indbinding:
- Paperback
- Sideantal:
- 384
- Udgivet:
- 22. november 2010
- Størrelse:
- 155x21x235 mm.
- Vægt:
- 581 g.
- 8-11 hverdage.
- 16. januar 2025
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Aggregation Functions: A Guide for Practitioners
Aggregation of information is of primary importance in the construction of knowledge based systems in various domains, ranging from medicine, economics, and engineering to decision-making processes, artificial intelligence, robotics, and machine learning. This book gives a broad introduction into the topic of aggregation functions, and provides a concise account of the properties and the main classes of such functions, including classical means, medians, ordered weighted averaging functions, Choquet and Sugeno integrals, triangular norms, conorms and copulas, uninorms, nullnorms, and symmetric sums. It also presents some state-of-the-art techniques, many graphical illustrations and new interpolatory aggregation functions. A particular attention is paid to identification and construction of aggregation functions from application specific requirements and empirical data. This book provides scientists, IT specialists and system architects with a self-contained easy-to-use guide, as well as examples of computer code and a software package. It will facilitate construction of decision support, expert, recommender, control and many other intelligent systems.
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Bogen Aggregation Functions: A Guide for Practitioners findes i følgende kategorier:
- Business og læring > Computer og IT
- Teknologi, ingeniørvidenskab og landbrug > Teknologi: generelle emner > Matematik for ingeniører
- Databehandling og informationsteknologi > Programmering / softwareudvikling > Softwareudvikling
- Databehandling og informationsteknologi > Informatik > Matematisk datateori
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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