Optimal choice of granularity in commonsense estimation: Why half-orders of magnitude?

International Journal of Intelligent Systems

Volumn 21, Issue 8, 2006, Pages 843-855

  Hobbs, Jerry R ^a   Kreinovich, Vladik ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b 500 W University Avenue   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; OPTIMIZATION; PARAMETER ESTIMATION;

COMMONSENSE ESTIMATION; COMMONSENSE GRANULARITY; GRANULARITY; OPTIMAL GRANULARITY;

OPTIMAL CONTROL SYSTEMS;

EID: 33746862990     PISSN: 08848173     EISSN: 1098111X     Source Type: Journal    
DOI: 10.1002/int.20164     Document Type: Article

References (3)

1. Hobbs JR. Half orders of magnitude. In: Obrst L, Mani I, editors. Proc Workshop on Semantic Approximation, Granularity, and Vagueness, A Workshop of the Seventh Int Conf on Principles of Knowledge Representation and Reasoning, KR'2000, Breckenridge, Colorado, April 11, 2000, pp 28-38.
2. Hobbs JR, Kreinovich V. Optimal choice of granularity in commonsense estimation: Why half-orders of magnitude. In: Proc Joint Ninth World Congress of the Int Fuzzy Systems Association and 20th Int Conf of the North American Fuzzy Information Processing Society, IFSA/NAFIPS 2001, Vancouver, Canada, July 25-28, 2001, pp 1343-1348.
3. Wadsworth Jr HM, editor. Handbook of statistical methods for engineers and scientists. New York: McGraw-Hill Publishing Co.; 1990.