Skip to main content

Evidence Theory

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

evidencetheory-0.0.1.tar.gz (4.6 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page