By Margaret F. Shipley, Gary L. Stading (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 complaints of the 14th foreign convention on info Processing and administration of Uncertainty in Knowledge-Based platforms, 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 various submissions. The papers are geared up in topical sections on fuzzy laptop studying and online modeling; computing with phrases and selection making; gentle computing in desktop imaginative and prescient; tough units and intricate facts research: concept and functions; clever databases and knowledge method; details fusion structures; philosophical and methodological facets of soppy computing; uncomplicated matters in tough units; fortieth anniversary of the measures of fuziness; SPS11 uncertainty in profiling structures and functions; dealing with uncertainty with copulas; formal how to take care of uncertainty of many-valued occasions; linguistic summarization and outline of knowledge; fuzzy implications: thought and purposes; sensing and information mining for educating and studying; thought and functions of intuitionistic fuzzy units; approximate elements of information mining and database analytics; fuzzy numbers and their functions; details processing and administration of uncertainty in knowledge-based platforms; aggregation services; vague chances; probabilistic graphical types with imprecision: conception and purposes; trust functionality conception: fundamentals and/or functions; fuzzy uncertainty in economics and company; new developments in De Finetti's strategy; fuzzy measures and integrals; multi standards determination making; uncertainty in privateness and protection; uncertainty within the spirit of Pietro Benvenuti; coopetition; online game conception; probabilistic approach.
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Extra resources 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 IV
Evolving Systems: Methodology and Applications. , Hoboken (2010) 2. : An approach to online identiﬁcation of Takagi-Sugeno fuzzy models. IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics 4(1), 484–498 (2004) 3. : Evolving fuzzy systems from data streams in real-time. In: 2006 International Symposium on Evolving Fuzzy Systems, Ambleside, September 7-9, pp. 29–35 (2006) 4. : Surveying stock market forecasting techniques Part II: Soft computing methods. Expert Systems with Applications 36(3), 5931– 5941 (2009) 5.
Ballini Uik = k l=1 γl , i = 1, 2, . . , R; k = 2, 3, . . k − T i∗ (7) ∗ where T i denotes the time tag which indicates when a fuzzy rule is generated. 1]) . This condition means that if some cluster has low utility (lower than an threshold ε), the data pattern has shifted away from the focal point of that rule, then the rule that satisﬁes Condition III is removed. This quality measure evaluates the importance of the fuzzy rules and assists the evolving process. 2 Participatory Learning Clustering The ePL approach joins the concept of participatory learning with the evolving fuzzy modeling idea.
A reﬁned fussy time series model for stock market forecasting. Physica A: Statistical Mechanics and its Applications 387(12), 2857–2862 (2008) 10. : DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time series prediction. IEEE Transactions on Fuzzy Systems 10(2), 144–154 (2002) 11. : Evolving and clustering fuzzy decision tree for ﬁnancial time series data forecasting. Expert Systems with Applications 36(2), 3761–3773 (2009) 12. : Evolving fuzzy modeling using participatory learning.