n-Dimensional overlap functions

In this paper we introduce the definition of n-dimensional overlap functions and we justify the axiomatization proposed in its definition. Basically, these functions allow to measure the degree of overlapping of several classes in a given classification system and for any given object. We also show a construction method for this class of functions, studying its relationships with the properties of migrativity, homogeneity and Lipschitz continuity. Finally, we propose an example where the use of n-dimensional overlap functions provides better results than those obtained with the commonly used product t-norm.

[1]  Gregory S. Biging,et al.  Relevance and redundancy in fuzzy classification systems , 2001 .

[2]  J. Montero,et al.  Representation of consistent recursive rules , 2001, Eur. J. Oper. Res..

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

[4]  Humberto Bustince,et al.  Some properties of overlap and grouping functions and their application to image thresholding , 2013, Fuzzy Sets Syst..

[5]  Anna Kolesárová,et al.  Associative n - dimensional copulas , 2011, Kybernetika.

[6]  Javier Montero,et al.  Consistency and Stability in Aggregation Operators: An Application to Missing Data Problems , 2013, AGOP.

[7]  Javier Montero,et al.  Consistency and stability in aggregation operators: An application to missing data problems , 2014, Int. J. Comput. Intell. Syst..

[8]  Amir-Masoud Eftekhari-Moghadam,et al.  Fuzzy rule-based reasoning approach for event detection and annotation of broadcast soccer video , 2013, Appl. Soft Comput..

[9]  Hisao Ishibuchi,et al.  Rule weight specification in fuzzy rule-based classification systems , 2005, IEEE Transactions on Fuzzy Systems.

[10]  Vincenzo Cutello,et al.  Hierarchical Aggregation of OWA operators: Basic Measures and Related Computational Problems , 1995, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[11]  Alexander Rybalov,et al.  Noncommutative self-identity aggregation , 1997, Fuzzy Sets Syst..

[12]  Eyke Hüllermeier,et al.  Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons , 2012, IEEE Transactions on Fuzzy Systems.

[13]  Humberto Bustince,et al.  New results on overlap and grouping functions , 2013, Inf. Sci..

[14]  Benjamín R. C. Bedregal,et al.  Archimedean overlap functions: The ordinal sum and the cancellation, idempotency and limiting properties , 2014, Fuzzy Sets Syst..

[15]  Hisao Ishibuchi,et al.  Effect of rule weights in fuzzy rule-based classification systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[16]  Javier Montero,et al.  Strictly stable families of aggregation operators , 2013, Fuzzy Sets Syst..

[17]  Javier Montero,et al.  Some Properties of Consistency in the Families of Aggregation Operators , 2011, Eurofuse.

[18]  Javier Montero,et al.  Development of child's home environment indexes based on consistent families of aggregation operators with prioritized hierarchical information , 2014, Fuzzy Sets Syst..

[19]  Fabrizio Durante,et al.  A note on the convex combinations of triangular norms , 2008, Fuzzy Sets Syst..

[20]  H. Bustince,et al.  Migrativity of aggregation functions , 2009, Fuzzy Sets Syst..

[21]  T. Calvo,et al.  Generation of weighting triangles associated with aggregation functions , 2000 .

[22]  Javier Montero,et al.  A discussion on aggregation operators , 2004, Kybernetika.

[23]  Humberto Bustince,et al.  On the relevance of some families of fuzzy sets , 2007, Fuzzy Sets Syst..

[24]  Humberto Bustince,et al.  Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system , 2014, Appl. Soft Comput..

[25]  Francisco Herrera,et al.  Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies , 2015, IEEE Transactions on Fuzzy Systems.

[26]  Humberto Bustince,et al.  Semiautoduality in a restricted family of aggregation operators , 2007, Fuzzy Sets Syst..

[27]  Vincenzo Cutello,et al.  Recursive families of OWA operators , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

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

[29]  Hisao Ishibuchi,et al.  Classification and modeling with linguistic information granules - advanced approaches to linguistic data mining , 2004, Advanced information processing.

[30]  Mitio Nagumo Über eine Klasse der Mittelwerte , 1930 .

[31]  Vincenzo Cutello,et al.  Recursive connective rules , 1999, Int. J. Intell. Syst..