lfl: An R package for linguistic fuzzy logic

[1]  Jonathan M. Garibaldi,et al.  FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language , 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[2]  D. K. Mak,et al.  A Fuzzy Probabilistic Method for Medical Diagnosis , 2015, Journal of Medical Systems.

[3]  Vilém Novák Perception-Based Logical Deduction , 2004, Fuzzy Days.

[4]  Martin Stepnicka,et al.  Fuzzy Rule-Based Ensemble for Time Series Prediction: Progresses with Associations Mining , 2014, SMPS.

[5]  Vilém Novák,et al.  Formal theories and linguistic descriptions , 2004, Fuzzy Sets Syst..

[6]  José M. Alonso,et al.  A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects , 2016, IEEE Transactions on Fuzzy Systems.

[7]  Nikolaos Kourentzes,et al.  An evaluation of neural network ensembles and model selection for time series prediction , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

[8]  B. Baets,et al.  Fuzzy relational compositions , 1993 .

[9]  Martina Danková,et al.  Towards Fuzzy Partial Set Theory , 2016, IPMU.

[10]  Martin Stepnicka,et al.  An Extension of Fuzzy Relational Compositions Using Generalized Quantifiers , 2015, IFSA-EUSFLAT.

[11]  J. M. Soto-Hidalgo,et al.  JFML: A Java Library to Design Fuzzy Logic Systems According to the IEEE Std 1855-2016 , 2018, IEEE Access.

[12]  Jiri Kupka,et al.  Regression analysis based on linguistic associations and perception-based logical deduction , 2017, Expert Syst. Appl..

[13]  Nhung Cao,et al.  Missing values and dragonfly operations in fuzzy relational compositions , 2019, Int. J. Approx. Reason..

[14]  Gang Li,et al.  Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data , 2019, Journal of Statistical Software.

[15]  Vilém Novák,et al.  Continuity issues of the implicational interpretation of fuzzy rules , 2010, Fuzzy Sets Syst..

[16]  Christian Eitzinger,et al.  Triangular Norms , 2001, Künstliche Intell..

[17]  Martina Danková,et al.  Relational compositions in Fuzzy Class Theory , 2009, Fuzzy Sets Syst..

[18]  R. Fisher THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[19]  Vilém Novák,et al.  A comprehensive theory of trichotomous evaluative linguistic expressions , 2008, Fuzzy Sets Syst..

[20]  Vilém Novák,et al.  On the semantics of perception‐based fuzzy logic deduction , 2004, Int. J. Intell. Syst..

[21]  Lala Septem Riza,et al.  frbs: Fuzzy Rule-Based Systems for Classification and Regression in R , 2015 .

[22]  Spyros Makridakis,et al.  The M3-Competition1 , 2000 .

[23]  C. Chang,et al.  Algebraic analysis of many valued logics , 1958 .

[24]  L. Kohout,et al.  FUZZY POWER SETS AND FUZZY IMPLICATION OPERATORS , 1980 .

[25]  Fred Collopy,et al.  Rule-Based Forecasting: Using Judgment in Time-Series Extrapolation , 2001 .

[26]  Jonathan M. Garibaldi,et al.  Juzzy Constrained: Software for Constrained Interval Type-2 Fuzzy Sets and Systems in Java , 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[27]  Hashim Habiballa,et al.  The concept of LFLC 2000 - its specificity, realization and power of applications , 2003, Comput. Ind..

[28]  E. Anderson The Species Problem in Iris , 1936 .

[29]  Michal Burda,et al.  Linguistic fuzzy logic in R , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[30]  Thomas Sudkamp,et al.  Examples, counterexamples, and measuring fuzzy associations , 2005, Fuzzy Sets Syst..

[31]  Martin Stepnicka,et al.  Fuzzy Relational Compositions Based on Generalized Quantifiers , 2014, IPMU.

[32]  Antonín Dvorák,et al.  L-fuzzy quantifiers of type 23291232a determined by fuzzy measures , 2009, Fuzzy Sets Syst..

[33]  V. Novák Ancient Sea Level Estimation , 2004 .

[34]  R. Agarwal Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.

[35]  Kurt Hornik,et al.  Generalized and Customizable Sets in R , 2009 .

[36]  Jesús Alcalá-Fdez,et al.  Design of Fuzzy Controllers for Embedded Systems With JFML , 2018, Int. J. Comput. Intell. Syst..

[37]  Christian Wagner,et al.  Juzzy - A Java based toolkit for Type-2 Fuzzy Logic , 2013, 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (T2FUZZ).

[38]  Paolo Giordani,et al.  A toolbox for fuzzy clustering using the R programming language , 2015, Fuzzy Sets Syst..

[39]  Bogdan Gabrys,et al.  Meta-learning for time series forecasting in the NN GC1 competition , 2010, International Conference on Fuzzy Systems.

[40]  Vilém Novák,et al.  A Plea for the Usefulness of the Deductive Interpretation of Fuzzy Rules in Engineering Applications , 2007, 2007 IEEE International Fuzzy Systems Conference.

[41]  Martin Stepnicka,et al.  Excluding features in fuzzy relational compositions , 2017, Expert Syst. Appl..

[42]  Brigitte Charnomordic,et al.  Learning interpretable fuzzy inference systems with FisPro , 2011, Inf. Sci..

[43]  W. Pedrycz Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data , 1985 .

[44]  Radko Mesiar,et al.  A Universal Integral as Common Frame for Choquet and Sugeno Integral , 2010, IEEE Transactions on Fuzzy Systems.

[45]  Ramakrishnan Srikant,et al.  Mining generalized association rules , 1995, Future Gener. Comput. Syst..

[46]  Martin Stepnicka,et al.  On Perception-based Logical Deduction and Its Variants , 2015, IFSA-EUSFLAT.

[47]  Petr Hájek,et al.  The problem of a general conception of the GUHA method , 1968, Kybernetika.

[48]  Martin Stepnicka,et al.  On the Suitability of the Bandler–Kohout Subproduct as an Inference Mechanism , 2010, IEEE Transactions on Fuzzy Systems.

[49]  Martin Stepnicka,et al.  Reduction of Fuzzy Rule Bases Driven by the Coverage of Training Data , 2015, IFSA-EUSFLAT.

[50]  Geoffrey I. Webb OPUS: An Efficient Admissible Algorithm for Unordered Search , 1995, J. Artif. Intell. Res..

[51]  Martin Stepnicka,et al.  On redundancies in systems of fuzzy/linguistic IF-THEN rules under perception-based logical deduction inference , 2015, Fuzzy Sets Syst..

[52]  Martin Stepnicka,et al.  Fuzzy rule base ensemble generated from data by linguistic associations mining , 2016, Fuzzy Sets Syst..

[53]  Patrick Bosc,et al.  Sugeno fuzzy integral as a basis for the interpretation of flexible queries involving monotonic aggregates , 2003, Inf. Process. Manag..

[54]  David H. Glass,et al.  Fuzzy confirmation measures , 2008, Fuzzy Sets Syst..

[55]  Didier Dubois,et al.  Practical Inference With Systems of Gradual Implicative Rules , 2009, IEEE Transactions on Fuzzy Systems.

[56]  Nhung Cao,et al.  The concept of unavoidable features in fuzzy relational compositions , 2020, Knowl. Based Syst..

[57]  Vilém Novák,et al.  Towards Fuzzy Partial Logic , 2015, 2015 IEEE International Symposium on Multiple-Valued Logic.

[58]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[59]  Martin Stepnicka,et al.  Extensions of fuzzy relational compositions based on generalized quantifiers , 2018, Fuzzy Sets Syst..

[60]  Didier Dubois,et al.  A map of dependencies among three-valued logics , 2013, Inf. Sci..

[61]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[62]  Martin Stepnicka,et al.  Compositions of Partial Fuzzy Relations Employing the Lower Estimation Approach , 2018, 2018 10th International Conference on Knowledge and Systems Engineering (KSE).