Presentation	1996/1/18 Prediction and measurement in diagnosis from first principle Masafumi ISHII, Ikuo TAHARA,
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Abstract(in English)	Diagnosis is the explanation for the causes of a system's behavior which conflict with the system is meant to behave. When we compute the diagnoses, that is the sets of abnormal components, from the given observation, we usually get a lot of candidates for diagnoses. To identify the true causes of abnormality, we need more information through the observation. This paper disusses the efficient way of measurement to get information using the entropy criterion.
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Keyword(in English)	Diagnosis / Measurement / Entropy
Paper #	AI95-49
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Conference Information
Committee	AI
Conference Date	1996/1/18(1days)
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Paper Information
Registration To	Artificial Intelligence and Knowledge-Based Processing (AI)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Prediction and measurement in diagnosis from first principle
Sub Title (in English)
Keyword(1)	Diagnosis
Keyword(2)	Measurement
Keyword(3)	Entropy
1st Author's Name	Masafumi ISHII
1st Author's Affiliation	Department of Information Sciences, Faculty of Science and Technology, Science University of Tokyo()
2nd Author's Name	Ikuo TAHARA
2nd Author's Affiliation	Department of Information Sciences, Faculty of Science and Technology, Science University of Tokyo
Date	1996/1/18
Paper #	AI95-49
Volume (vol)	vol.95
Number (no)	460
Page	pp.pp.-
#Pages	8
Date of Issue