SBIR-STTR Award

Development of fuzzy clip expert system
Award last edited on: 3/6/02

Sponsored Program
SBIR
Awarding Agency
NASA : JSC
Total Award Amount
$531,021
Award Phase
2
Solicitation Topic Code
-----

Principal Investigator
Masaki Togai

Company Information

Togai Infralogic Inc

5 Vanderbilt
Irvine, CA 92618
   (714) 975-8522
   N/A
   N/A
Location: Single
Congr. District: 45
County: Orange

Phase I

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
1989
Phase I Amount
$47,221
Fuzzy logic is the reasoning methodology that has grown out of a branch of formal mathematics known as fuzzy set theory. It has been used to handle uncertainty in rule-based software systems, where it is particularly effective in capturing qualitative aspects of human reasoning. Many applications using the fuzzy logic inference mechanism for ill-defined expert systems have been successfully demonstrated in Japan and Europe. In spite of its apparent potential, this unique method has not been extensively used in NASA applications. A general lack of confidence in the use of this powerful technology stems from the lack of adequate tools to develop systems. This project should result in user-friendly, easy-to-use, expert-system shells with this new paradigm embedded in the existing expert system shell, CLIPS.

Potential Commercial Applications:
This software tool can be effectively used to construct expert systems for vehicle and process control, pattern classification, financial decision making, sales prediction, industrial design, and psychology.STATUS: Project Proceded to Phase II

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
1990
Phase II Amount
$483,800
___(NOTE: Note: no official Abstract exists of this Phase II projects. Abstract is modified by idi from relevant Phase I data. The specific Phase II work statement and objectives may differ)___ Fuzzy logic is the reasoning methodology that has grown out of a branch of formal mathematics known as fuzzy set theory. It has been used to handle uncertainty in rule-based software systems, where it is particularly effective in capturing qualitative aspects of human reasoning. Many applications using the fuzzy logic inference mechanism for ill-defined expert systems have been successfully demonstrated in Japan and Europe. In spite of its apparent potential, this unique method has not been extensively used in NASA applications. A general lack of confidence in the use of this powerful technology stems from the lack of adequate tools to develop systems. This project should result in user-friendly, easy-to-use, expert-system shells with this new paradigm embedded in the existing expert system shell, CLIPS.

Potential Commercial Applications:
This software tool can be effectively used to construct expert systems for vehicle and process control, pattern classification, financial decision making, sales prediction, industrial design, and psychology.STATUS: Project Proceded to Phase II