A novel table look-up scheme based on GFScom and its application

This work considers Mamdani fuzzy systems constructed from finite input–output data pairs using the generalized fuzzy sets with contradictory, opposite and medium negation (GFScom). Considering that the information available often consists of a set of finite numerical data pairs, a new table look-up scheme for constructing Mamdani fuzzy systems is presented. The designed fuzzy system is proved to be capable of approximating any real continuous function on a compact set to arbitrary degree of accuracy. We use this fuzzy modeling method for the truck back-upper control problem. The effectiveness of the proposed method is demonstrated by a comparison with the traditional table look-up scheme.

[1]  Gerd Wagner,et al.  HEINRICH HERRE, JAN JASPARS AND GERD WAGNER PARTIAL LOGICS WITH TWO KINDS OF NEGATION AS A FOUNDATION FOR KNOWLEDGE-BASED REASONING , 2006 .

[2]  Sébastien Ferré,et al.  Negation, Opposition, and Possibility in Logical Concept Analysis , 2006, ICFCA.

[3]  Zhenghua Pan Three Kinds of Negation of Fuzzy Knowledge and Their Base of Logic , 2013, ICIC.

[4]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[5]  Zhang Shengl Formal Deductive System of Fuzzy Propositional Logic with Different Negations , 2014 .

[6]  Xiao-Jun Zeng,et al.  Approximation accuracy analysis of fuzzy systems as function approximators , 1996, IEEE Trans. Fuzzy Syst..

[7]  Humberto Bustince,et al.  The Notion of Weak-Contradiction: Definition and Measures , 2015, IEEE Transactions on Fuzzy Systems.

[8]  Gerd Wagner,et al.  Extended RDF as a Semantic Foundation of Rule Markup Languages , 2008, J. Artif. Intell. Res..

[9]  Li-Xin Wang,et al.  The WM method completed: a flexible fuzzy system approach to data mining , 2003, IEEE Trans. Fuzzy Syst..

[10]  Christopher J. Gatti Design of Experiments for Reinforcement Learning , 2014 .

[11]  Irina Perfilieva,et al.  Fuzzy transforms: Theory and applications , 2006, Fuzzy Sets Syst..

[12]  François Lepage A Square of Oppositions in Intuitionistic Logic with Strong Negation , 2016, Logica Universalis.

[13]  Gerd Wagner,et al.  Web Rules Need Two Kinds of Negation , 2003, PPSWR.

[14]  Pan Zheng Three Kinds of Negation of Fuzzy Knowledge and Their Base of Set , 2012 .

[15]  Ken Kaneiwa,et al.  Description Logics with Contraries, Contradictories, and Subcontraries , 2007, New Generation Computing.

[16]  Cheng Wang,et al.  Improving Wang-Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm , 2015, Neurocomputing.

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

[18]  Ying Li,et al.  Neural-fuzzy control of truck backer-upper system using a clustering method , 2007, Neurocomputing.

[19]  Petr Hájek,et al.  Residuated fuzzy logics with an involutive negation , 2000, Arch. Math. Log..

[20]  Bart Kosko,et al.  Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .

[21]  野崎 賢,et al.  Generating Fuzzy Rules from Numerical Data , 1995 .

[22]  Jesús Alcalá-Fdez,et al.  Mining fuzzy association rules from low-quality data , 2011, Soft Computing.

[23]  Humberto Bustince,et al.  Aggregation functions and contradictory information , 2012, Fuzzy Sets Syst..

[24]  Richard S. Sutton,et al.  The Truck Backer-Upper: An Example of Self-Learning in Neural Networks , 1995 .

[25]  Pan Zheng-hua An improved set description of negative knowledge processing in Fuzzy knowledge , 2011 .

[26]  Zheng-Hua Pan Fuzzy set with three kinds of negations in fuzzy knowledge processing , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[27]  Li-Xin Wang,et al.  A Course In Fuzzy Systems and Control , 1996 .

[28]  Jacek M. Leski,et al.  Fuzzy c-ordered-means clustering , 2016, Fuzzy Sets Syst..

[29]  Laurence R. Horn,et al.  A brief history of negation , 2010, J. Appl. Log..

[30]  Abdollah Homaifar,et al.  Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms , 1995, IEEE Trans. Fuzzy Syst..

[31]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[32]  Radko Mesiar,et al.  Fuzzy logics with an additional involutive negation , 2010, Fuzzy Sets Syst..

[33]  Petr Hájek,et al.  Metamathematics of Fuzzy Logic , 1998, Trends in Logic.

[34]  H. Zimmermann,et al.  Fuzzy Set Theory and Its Applications , 1993 .

[35]  M. Sami Fadali,et al.  TSK Fuzzy Function Approximators: Design and Accuracy Analysis , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[36]  Vilém Novák,et al.  Antonyms and linguistic quantifiers in fuzzy logic , 2001, Fuzzy Sets Syst..

[37]  Jean-Yves Béziau Disentangling Contradiction from Contrariety via Incompatibility , 2016, Logica Universalis.