FOCI 2011: Paris, France

FOCI - Tutorial

• Alexander Gegov:
  Fuzzy rule based networks. 1-6
  

Nature-inspired approaches and Fuziness

• Lee Onn Mak, Gee Wah Ng, Godfrey Lim, Kezhi Mao:
  A merging Fuzzy ART clustering algorithm for overlapping data. 1-6
  
• Joseph A. Brown:
  Multiple Agent Genetic Networks for Iterated Prisoner's Dilemma. 7-14
  
• Leticia Hernando, Jose Antonio Pascual, Alexander Mendiburu, José Antonio Lozano:
  A study on the complexity of TSP instances under the 2-exchange neighbor system. 15-21
  

Theoretical approaches to fuzziness

• Sebastià Massanet, Joan Torrens:
  Implications generated from additive generators of representable uninorms: (h, e)-implications. 29-36
  
• Martina Danková, Martin Stepnicka, Bernard De Baets:
  Grades of Monotonicity of Fuzzy Relations and Their Application to Fuzzy Rule Bases. 37-44
  
• Félix Díaz-Hermida, Alberto Bugarín:
  Semi-fuzzy quantifiers as a tool for building linguistic summaries of data patterns. 45-52
  
• Maria Letizia Guerra, Luciano Stefanini:
  A comparison index for interval ordering. 53-58
  
• Didier Dubois, Henri Prade:
  Bridging gaps between several frameworks for the idea of granulation. 59-65
  

Neural networks

• João Ranhel, Cacilda V. Lima, Júlio L. R. Monteiro, João Eduardo Kögler Jr., Márcio Lobo Netto:
  Bistable memory and binary counters in spiking neural network. 66-73
  
• Ryotaro Kamimura: Relative Information Maximization and Its Application to the Detection of Explicit Class Structure in SOM. 74-79
• Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella:
  Test error bounds for classifiers: A survey of old and new results. 80-87
  
• Carmelo J. A. Bastos Filho, Marcos A. C. Oliveira, Dennis R. C. Silva, Robson A. Santana:
  Optimizing a routing algorithm based on Hopfield Neural Networks for Graphic Processing Units. 88-93
  
• Hirotaka Inoue: Self-Organizing Neural Grove and Its Incremental Learning Performance. 94-99
• Enrico Ferrari, Marco Muselli:
  Implementing reliable learning through Reliable Support Vector Machines. 100-106
  

Knowledge representation and decision making

• Pablo Cordero, Manuel Enciso, Angel Mora, Inmaculada Perez de Guzmán, José Manuel Rodríguez-Jiménez:
  Specification and inference of fuzzy attributes. 107-114
  
• Nicolás Madrid, Manuel Ojeda-Aciego:
  On the use of fuzzy stable models for inconsistent classical logic programs. 115-121
  
• José M. Merigó:
  Decision making with probabilities, weighted averages and OWA operators. 122-129
  
• Janusz Kacprzyk, Slawomir Zadrozny:
  Affect, judgment and decision making: Some inspirations for bipolar querying. 130-137
  
• Pedro J. Morcillo, Ginés Moreno:
  Improving completeness in multi-adjoint logic computations via general reductants. 138-145
  

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