Rafael Espin; Rafael Bello Pérez; Angel Cobo; Jorge Marx; Ariel Racet Valdés Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2016) Pehmeäkantinen kirja
Chris Cornelis (ed.); Marzena Kryszkiewicz (ed.); Dominik Slezak (ed.); Ernestina Menasalvas Ruiz (ed.); Rafael Bello (ed.) Springer (2014) Pehmeäkantinen kirja
The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.
It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other soft computing elements.
The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.
