docs

README.rst

@@ -1,8 +1,11 @@
-scikit-criteria
-===============
+
+.. image:: ./doc/source/_static/logo_medium.png
+    :scale: 100 %
 
 **Multiple-criteria decision analysis**
 
+[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
+
 Install
 -------
 
@@ -18,9 +21,17 @@ Test
 
     $ python -m skcriteria.tests
 
+Support
+-------
+
+-   **Full Documentation and Tutorial:** scikit-criteria.org
+-   **Contact:** jbc.develop@gmail.com
+-   **Issues:** If you have issues please report them as a issue
+    here: https://github.com/leliel12/scikit-criteria/issues
+
 
-Legal
------
+LOGO
+----
 
 - The scikit-criteria logo is a dereived work of
   https://openclipart.org/detail/170778/retro-diamonds-abstract-009

doc/source/index.rst

@@ -3,6 +3,9 @@
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
 
+===============
+Scikit-Criteria
+===============
 
 .. only:: html
 
@@ -15,6 +18,55 @@ scikit-criteria is a collection of Multiple-criteria decision analysis (MCDA_)
 methods integrated into scientific python stack. Is Open source and
 commercially usable - `BSD license`_
 
+Support
+-------
+
+You can contact me at jbc.develop@gmail.com
+
+Code Repository & Issues: https://github.com/leliel12/scikit-criteria
+
+
+License
+-------
+
+Scikit-Criteria is under
+`The 3-Clause BSD License <https://raw.githubusercontent.com/leliel12/scikit-criteria/master/LICENCE.txt>`__
+
+This license allows unlimited redistribution for any purpose as long as its
+copyright notices and the license's disclaimers of warranty are maintained.
+
+
+Citation
+--------
+
+If you are using Scikit-Criteria in your research, please cite:
+
+If you use scikit-learn in a scientific publication, we would appreciate
+citations to the following paper:
+
+  `Scikit-learn: Machine Learning in Python
+  <http://45jaiio.sadio.org.ar/sites/default/files/Sio-23.pdf>`_, Cabral
+  *et al.*, SIO 12, pp. 2825-2830, 2011.
+
+  Scikit-Criteria: Colección de métodos de
+análisis multi-criterio integrado al stack
+científico de Python
+
+
+Bibtex entry::
+
+    @article{scikit-learn,
+     title={Scikit-learn: Machine Learning in {P}ython},
+     author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
+             and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
+             and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
+             Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
+     journal={Journal of Machine Learning Research},
+     volume={12},
+     pages={2825--2830},
+     year={2011}
+    }
+
 
 
 Contents: