A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data

[1]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[2]  Ronald R. Yager,et al.  A new approach to the summarization of data , 1982, Inf. Sci..

[3]  L. Zadeh.  A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[4]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[5]  Ronald R. Yager,et al.  On Linguistic Summaries of Data , 1991, Knowledge Discovery in Databases.

[6]  Didier Dubois,et al.  Gradual inference rules in approximate reasoning , 1992, Inf. Sci..

[7]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[8]  Ronald R. Yager.  Database discovery using fuzzy sets , 1996 .

[9]  Ronald R. Yager,et al.  A fuzzy SQL summary language for data discovery , 1997 .

[10]  David J. C. MacKay,et al.  Theoretical design of ferritic creep resistant steels using neural network, kinetic, and thermodynamic models , 1999 .

[11]  Ronald R. Yager,et al.  Finding fuzzy and gradual functional dependencies with SummarySQL , 1999, Fuzzy Sets Syst..

[12]  Janusz Kacprzyk,et al.  A Fuzzy Logic Based Approach to Linguistic Summaries of Databases , 2000 .

[13]  Janusz Kacprzyk,et al.  Data Mining via Fuzzy Querying over the Internet , 2000 .

[14]  Slawomir Zadrozny,et al.  On a fuzzy querying and data mining interface , 2000, Kybernetika.

[15]  J. Kacprzyk,et al.  Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach , 2000 .

[16]  Janusz Kacprzyk,et al.  On Combining Intelligent Querying and Data Mining Using Fuzzy Logic Concepts , 2000 .

[17]  Janusz Kacprzyk,et al.  LINGUISTIC SUMMARIES OF DATA USING FUZZY LOGIC , 2001 .

[18]  H. K. D. H. Bhadeshia,et al.  Design of Ferritic Creep-resistant Steels , 2001 .

[19]  T. Sourmail.  Precipitation in creep resistant austenitic stainless steels , 2001 .

[20]  Slawomir Zadrozny,et al.  Protoforms of Linguistic Data Summaries: Towards More General Natural-Language-Based Data Mining Tools , 2002, HIS.

[21]  Noureddine Mouaddib,et al.  SEQ: a fuzzy set-based approach to database summarization , 2002, Fuzzy Sets Syst..

[22]  Janusz Kacprzyk,et al.  Fuzzy Linguistic Summaries of Databases for an Efficient Business Data Analysis and Decision Support , 2002 .

[23]  David J. C. MacKay,et al.  Design of a creep resistant nickel base superalloy for power plant applications: Part 1 - Mechanical properties modelling , 2003 .

[24]  Slawomir Zadrozny,et al.  Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms , 2005, ICANN.

[25]  Slawomir Zadrozny,et al.  Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools , 2005, Inf. Sci..

[26]  J. Kacprzyk,et al.  Using a Genetic Algorithm to Derive a Linguistic Summary of Trends in Numerical Time Series , 2006, 2006 International Symposium on Evolving Fuzzy Systems.

[27]  W. Blum,et al.  Coarsening of precipitates and degradation of creep resistance in tempered martensite steels , 2009 .

[28]  Slawomir Zadrozny,et al.  Linguistic Data Summarization , 2009, Scalable Fuzzy Algorithms for Data Management and Analysis.

[29]  Carlos Morell Pérez,et al.  Support vector machine model for regression applied to the estimation of the creep ruptura stress in ferritic steels , 2009 .

[30]  Slawomir Zadrozny,et al.  Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining , 2009, Int. J. Softw. Sci. Comput. Intell..

[31]  Yan Wang,et al.  Development of new 11%Cr heat resistant ferritic steels with enhanced creep resistance for steam power plants with operating steam temperatures up to 650 °C , 2009 .

[32]  D. Rojas,et al.  Design and characterization of microstructure evolution during creep of 12% Cr heat resistant steels , 2010 .

[33]  Daniel Sánchez,et al.  A multi-objective memetic algorithm for the linguistic summarization of time series , 2011, GECCO '11.

[34]  Nicolás Marín,et al.  Linguistic Summarization of Time Series Data using Genetic Algorithms , 2011, EUSFLAT Conf..

[35]  Rafael Bello,et al.  Using Linguistic Data Summarization in the study of creep data for the design of new steels , 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.