THE FEASIBILITY OF USING BELIEF FUNCTIONS IN DEALING WITH UNCERTAINTY IN EXPERT SYSTEMS IS EXAMINED.

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$37,000.00
Award Year:
1985
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
2624
Agency Tracking Number:
2624
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1270 Oakmead Pkwy Suite 314, Sunnyvale, CA, 94086
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
DR JAMES R WEISINGER
SENIOR ASSOCIATE
(408) 732-8393
Business Contact:
() -
Research Institution:
n/a
Abstract
THE FEASIBILITY OF USING BELIEF FUNCTIONS IN DEALING WITH UNCERTAINTY IN EXPERT SYSTEMS IS EXAMINED. THE TWO KEY AREAS FOR PROPOSED RESEARCH ARE THE PROPAGATION OF UNCERTAINTY AND THE COMBINATION OF UNCERTAIN INFORMATION. THE PROPOSED RESEARCH ON THE PROPAGATION OF UNCERTAINTY WILLBE BASED ON GENERALIZING THE NOTION OF IF-THEN FULES TO PROBABILISTIC TRANSITIONS; THE PROPOSED RESEARCH ON COMBINING UNCERTAIN INFORMATION WILL INVOLVE INVESTIGATING AN APPROACH TO DEMPSTER'S RULE WHICH AVOIDS THE PROBLEM OF NON-INDEPENDENCE IN THE EVIDENCE BEING COMBINED. THE IMPLICATIONS OF THIS RESEARCH ARE FAR REACHING ARE FAR REACHING IN SHORTENING THE DEVELOPMENT TIME OF INDIVIDUAL EXPERT SYSTEMS AND IN EXTENDING THE APPLICABILITY OF THESE SYSTEMS.

* information listed above is at the time of submission.

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