Fuzzy Quality Evaluation for Agricultural Applications University of Illinois at Urbana-Champaign

Format:

Book

Conference/Event

Author/Creator:

Benson, Eric R., author.

Conference Name:

International Off-Highway & Powerplant Congress & Exposition (2000-09-11 : Milwaukee, Wisconsin, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2000

Summary:

Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this paper, two automated fuzzy evaluation systems are described. In the first, a fuzzy quality module evaluates output from a simulated noisy sensor. In the second system, a fuzzy quality module evaluates the output from a machine vision system. Results from both systems indicate that fuzzy logic was able to accurately categorize the output in support of machinery decision making for automated control

Notes:

Vendor supplied data

Publisher Number:

2000-01-2621

Access Restriction:

Restricted for use by site license