By Andrea Sgarro, Laura Franzoi (auth.), Salvatore Greco, Bernadette Bouchon-Meunier, Giulianella Coletti, Mario Fedrizzi, Benedetto Matarazzo, Ronald R. Yager (eds.)
These 4 volumes (CCIS 297, 298, 299, three hundred) represent the lawsuits of the 14th overseas convention on info Processing and administration of Uncertainty in Knowledge-Based structures, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised complete papers provided including six invited talks have been conscientiously reviewed and chosen from a variety of submissions. The papers are prepared in topical sections on fuzzy computer studying and online modeling; computing with phrases and determination making; smooth computing in desktop imaginative and prescient; tough units and complicated facts research: conception and functions; clever databases and data method; details fusion structures; philosophical and methodological elements of soppy computing; easy matters in tough units; fortieth anniversary of the measures of fuziness; SPS11 uncertainty in profiling structures and purposes; dealing with uncertainty with copulas; formal tips on how to take care of uncertainty of many-valued occasions; linguistic summarization and outline of knowledge; fuzzy implications: thought and functions; sensing and information mining for educating and studying; concept and functions of intuitionistic fuzzy units; approximate points of knowledge mining and database analytics; fuzzy numbers and their functions; info processing and administration of uncertainty in knowledge-based structures; aggregation features; obscure chances; probabilistic graphical types with imprecision: idea and functions; trust functionality concept: fundamentals and/or functions; fuzzy uncertainty in economics and company; new traits in De Finetti's procedure; fuzzy measures and integrals; multicriteria selection making; uncertainty in privateness and protection; uncertainty within the spirit of Pietro Benvenuti; coopetition; online game thought; probabilistic approach.
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Extra info for Advances in Computational Intelligence: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9-13, 2012, Proceedings, Part III
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Fuzzy sets of S f Table 8. 5. Table 9 shows the likelihood encoding of the fuzzy evidence f e. It is used in the junction tree algorithm as in the previous section. Table 9.
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