Metadata-Version: 2.1
Name: Fancy_aggregations
Version: 1.4.1
Summary: A collection of aggregations, such as OWAs, Choquet and Sugeno integrals, etc.
Home-page: https://github.com/Fuminides/Fancy_aggregations
Author: Javier Fumanal Idocin
Author-email: javier.fumanal@unavarra.es
License: UNKNOWN
Description: # Fancy Aggregations  [![DOI](https://zenodo.org/badge/221485987.svg)](https://zenodo.org/badge/latestdoi/221485987)
        
        Fanzy Aggregations is a package written in python that implements modern functions to aggregate data using Choquet integral, CF12 generalization, Sugeno, etc. More are to come. Our target is to give a wide range of functions to work with and to generate/use different fuzzy measures.
        
        ## Implemented functions
        
        - Choquet Integral
        - Choquet Integral CF and CF<sub>1,2</sub>
        - Sugeno integral and generalizations.
        - Wide range of T-norms (and T-conorms).
        - Implication operators.
        - OWA operators.
        - Penalty functions.
        - MD deviations.
        - N-Overlap functions.
        
        ## Reference papers
        Each file contains the correspondent paper in its header. Here it is the whole list:
        
        <a id="1"> [1]  A.H. Altalhi, J.I. Forcén, M. Pagola, E. Barrenechea, H. Bustince, Zdenko Takáč,
        Moderate deviation and restricted equivalence functions for measuring similarity between data,
        Information Sciences,Volume 501,
        2019,
        Pages 19-29,
        ISSN 0020-0255,
        https://doi.org/10.1016/j.ins.2019.05.078.
        (http://www.sciencedirect.com/science/article/pii/S0020025519305031)
        
        <a id="2"> [2] Bustince, H., Beliakov, G., Dimuro, G. P., Bedregal, B., & Mesiar, R. (2017). 
        On the definition of penalty functions in data aggregation. Fuzzy Sets and Systems, 323, 1-18.
        
        <a id="3"> [3] A. Jurio, M. Pagola, R. Mesiar, G. Beliakov and H. Bustince, "Image Magnification Using Interval Information," 
        in IEEE Transactions on Image Processing, vol. 20, no. 11, pp. 3112-3123, Nov. 2011.
        doi: 10.1109/TIP.2011.2158227
        URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5782984&isnumber=6045652
        
        
        <a id="4"> [4] Graçaliz Pereira Dimuro, Giancarlo Lucca, Benjamín Bedregal, Radko Mesiar, José Antonio Sanz, Chin-Teng Lin, Humberto Bustince,
        Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions,
        Fuzzy Sets and Systems,
        Volume 378,
        2020,
        Pages 44-67,
        ISSN 0165-0114,
        https://doi.org/10.1016/j.fss.2019.01.009.
        (http://www.sciencedirect.com/science/article/pii/S0165011418305451)
        
        <a id="5"> [5] Beliakov, G., Sola, H. B., & Sánchez, T. C. (2016). A practical guide to averaging functions (Vol. 329). Heidelberg: Springer.
        
        ### Mandatory
        * Numpy
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
