Metadata-Version: 1.1
Name: evidencetheory
Version: 0.0.1
Summary: Evidence Theory
Home-page: https://github.com/d555/evidencetheory
Author: Jonathan S. Prieto
Author-email: prieto.jona@gmail.com
License: MIT
Download-URL: https://github.com/d555/evidencetheory/
Description: Evidence Theory
        ===============
        
        A Python Library to attack the problem of **Fusion Information**.
        Dempster-Shafer Theory implemention is our first goal.
        
        | Install:
        | \_\_\_\_\_\_\_\_
        
        ::
        
                pip install evidencetheory
        
        Usage:
        ------
        
        ::
        
                from evidence.theory import dst # load dempster-shafer functions
                from evidenec.tests.assets import INPUT
                print INPUT['bba1'] # path for the bba example
        
        Knowing the format of file ``bba1``:
        
        ::
        
                bba = []
                with open(INPUT['bba1'], 'r') as f:
                    N = int(f.readline())
                    for _  in range(N):
                        bba += [ float(f.readline()) ]
                print bba # verify a table with values between 0 and 1 
        
        We want to get a Belief function ``Bel`` from a table ``bba`` (basic
        belief assignament function), so the following is how to do that:
        
        ::
        
                bel1 = dst.Bel(m=bba)
                for i in range(1<<len(bba)):
                    print bel1(A=i) # i is a set represents in binary form.
        
        For now, please review code in ``evidence.theory.dst``.
        
Keywords: evidencetheory dempster shafer fusion information
Platform: UNKNOWN
Classifier: Intended Audience :: Information Technology
