Piecewise linear aggregation functions based on triangulation

We introduce a method to construct piecewise linear binary aggregation functions on the unit interval, based on a triangulation of the unit square with one additional vertex. We derive conditions under which such piecewise linear aggregation functions possess additional interesting properties, such as idempotence, symmetry, Lipschitz continuity and 2-monotonicity. This construction method can also be used to approximate binary aggregation functions. In this way, copulas and quasi-copulas are approximated by singular copulas.

[1]  M. Sklar Fonctions de repartition a n dimensions et leurs marges , 1959 .

[2]  R. Nelsen An Introduction to Copulas , 1998 .

[3]  G. BELIAKOV,et al.  Monotone Approximation of Aggregation Operators Using Least Squares Splines , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[4]  Gleb Beliakov CONSTRUCTION OF AGGREGATION OPERATORS FOR AUTOMATED DECISION MAKING VIA OPTIMAL INTERPOLATION AND GLOBAL OPTIMIZATION , 2007 .

[5]  R. Mesiar,et al.  Conjunctors and their Residual Implicators: Characterizations and Construction Methods , 2007 .

[6]  D. Denneberg Non-additive measure and integral , 1994 .

[7]  Radko Mesiar,et al.  Binary survival aggregation functions , 2012, Fuzzy Sets Syst..

[8]  M. J. Frank,et al.  Associative Functions: Triangular Norms And Copulas , 2006 .

[9]  G. Choquet Theory of capacities , 1954 .

[10]  Gleb Beliakov,et al.  Construction of aggregation functions from data using linear programming , 2009, Fuzzy Sets Syst..

[11]  Gleb Beliakov,et al.  Pointwise Construction of Lipschitz Aggregation Operators with Specific Properties , 2007, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[12]  R. Mesiar,et al.  Aggregation operators: properties, classes and construction methods , 2002 .

[13]  Gleb Beliakov,et al.  How to build aggregation operators from data , 2003, Int. J. Intell. Syst..

[14]  Radko Mesiar,et al.  Flipping and cyclic shifting of binary aggregation functions , 2009, Fuzzy Sets Syst..

[15]  Gleb Beliakov,et al.  Aggregation Functions: A Guide for Practitioners , 2007, Studies in Fuzziness and Soft Computing.

[16]  Radko Mesiar,et al.  Weighted aggregation operators based on minimization , 2008, Inf. Sci..

[17]  Radko Mesiar,et al.  Fitting Generated Aggregation Operators To Empirical Data , 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[18]  Bernard De Baets,et al.  Loss optimal monotone relabeling of noisy multi-criteria data sets , 2009, Inf. Sci..

[19]  R. Mesiar,et al.  Aggregation operators: new trends and applications , 2002 .

[20]  Jana Kalická On some construction methods for 1-Lipschitz aggregation functions , 2009, Fuzzy Sets Syst..

[21]  Witold Pedrycz,et al.  Statistically grounded logic operators in fuzzy sets , 2009, Eur. J. Oper. Res..