CMU Artificial Intelligence Repository
  
  
  
  
  
FuzzyCLIPS: Fuzzy Logic Extensions for CLIPS
areas/expert/systems/clips/fzclips/
   v602/      FuzzyCLIPS Version 6.02
   v602a/     FuzzyCLIPS Version 6.02A
   wxfuzzy/   wxCLIPS: wxCLIPS integrated with FuzzyCLIPS
Origin:   
   ai.iit.nrc.ca:/pub/fzclips
   FuzzyCLIPS is also available via WWW (World Wide Web).
   Indirectly through the Knowledge Systems Lab Server:
      http://ai.iit.nrc.ca/home_page.html
   Direct:
      http://ai.iit.nrc.ca/fuzzy/fuzzy.html
FuzzyCLIPS is a version of the CLIPS rule-based expert system
shell with extensions for representing and manipulating fuzzy facts
and rules. In addition to the CLIPS functionality, FuzzyCLIPS can deal
with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy
and normal terms to be freely mixed in the rules and facts of an
expert system. The system uses two basic inexact concepts, fuzziness
and uncertainty. 
Please read the terms for use in the FuzzyCLIPS documentation
before using.  
FuzzyCLIPS was developed at the Institute for Information Technology
(Knowledge Systems Lab) of the National Research Council of Canada.
References: 
   A manual is included in the distribution.
Requires:     Includes Sources of CLIPS 6.02
Ports:        Unix, Macintosh, PC
Copying:      Copyright (c) 1994 National Research Council Canada.
              
              Please see the license agreement in the readme.txt file and
              in the manual before using, copying, or distributing.
              Redistributing is generally NOT permitted.
              
              *** If you use the software, please send a message with your
              *** name, organization, and email address to
              ***    fzclips@ai.iit.nrc.ca
Updated:      Tue Oct  4 19:05:41 1994
CD-ROM:       Prime Time Freeware for AI, Issue 1-1
Bug Reports:  fzclips@ai.iit.nrc.ca
              
              (Please look at ai.iit.nrc.ca:/pub/fzclips/README.BUGS
              before sending in a bug report.)
Author(s):    Bob Orchard 
              National Research Council of Canada
              Institute for Information Technology
              Knowledge Systems Laboratory
              Montreal Road, Building M-50
              Ottawa, Ontario
              Canada K1A 0R6
Contact:      fzclips@ai.iit.nrc.ca
Keywords:
   Authors!Orchard, CLIPS, Expert System Shells, Fuzzy Logic, 
   NRC, OOP!CLIPS, Uncertainty
Last Web update on Mon Feb 13 10:21:20 1995 
AI.Repository@cs.cmu.edu