File	Date	Author	Commit
m4	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system
src	2013-03-15	Soroush Rabiei	[69e5d7] Adding chunks
AUTHORS	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
COPYING	2013-03-15	Soroush Rabiei	[b63490] Some legal info updated
ChangeLog	2013-03-15	Soroush Rabiei	[b63490] Some legal info updated
INSTALL	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
Makefile.am	2012-12-26	Soroush Rabiei	[eaaad1] Modify build system scripts
Makefile.in	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system
NEWS	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
README	2012-12-26	Soroush Rabiei	[eaaad1] Modify build system scripts
aclocal.m4	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system
autogen.sh	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
config.guess	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
config.h.in	2012-12-26	Soroush Rabiei	[eaaad1] Modify build system scripts
config.sub	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
configure	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system
configure.ac	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system
depcomp	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
ffis.h	2012-12-26	Soroush Rabiei	[eaaad1] Modify build system scripts
ffis.pc.in	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
install-sh	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system
ltmain.sh	2012-12-14	Soroush Rabiei	[08ef39] Migrate from CMake to GNU autotools build system
missing	2013-03-10	Soroush Rabiei	[b2f741] Finalizing build system

Read Me

FFIS
----

FFIS or Fast Fuzzy Inference System is a portable and optimized implementation
of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods.
The main idea behind this tool, is to provide case-special techniques rather
than general solutions to resolve complicated mathematical calculations. This
will lead to have more efficient defuzzification algorithms for Mamdani's model.
Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time
which n is number of membership functions in output.

FFIS provides a feasible high-level C++/API. Also additional useful features
have been implemented such as:

    * Fastest possible FIS implementation of Mamdani's model
    * High-Level feasible C++ API providing readablity and ease of maintanace
    * Generic design providing more flexiblity and control over inference engine
    * Platform-independent implementation and build system
    * MATLAB FIS Integration (Import from and Export to)