On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /

Thesis (Ph.D (Matematik)) - Universiti Teknologi Malaysia, 2012

Bibliographic Details
Main Author: Mohd. Saifullah Rusiman, 1970-
Format:
Language:eng
Published: 2012
Subjects:
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author Mohd. Saifullah Rusiman, 1970-
author_facet Mohd. Saifullah Rusiman, 1970-
author_sort Mohd. Saifullah Rusiman, 1970-
collection OCEAN
description Thesis (Ph.D (Matematik)) - Universiti Teknologi Malaysia, 2012
first_indexed 2024-03-05T12:15:38Z
format
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institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T12:15:38Z
publishDate 2012
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spelling KOHA-OAI-TEST:4752662020-12-19T17:17:31ZOn the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] / Mohd. Saifullah Rusiman, 1970- 2012engThesis (Ph.D (Matematik)) - Universiti Teknologi Malaysia, 2012Includes bibliographical referencesPSZJBLRegression analysisFuzzy systemsHealth status indicators
spellingShingle Regression analysis
Fuzzy systems
Health status indicators
Mohd. Saifullah Rusiman, 1970-
On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /
title On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /
title_full On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /
title_fullStr On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /
title_full_unstemmed On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /
title_short On the use of fuzzy C-regression truncated models for health indicator in intensive care unit [electronic resource] /
title_sort on the use of fuzzy c regression truncated models for health indicator in intensive care unit electronic resource
topic Regression analysis
Fuzzy systems
Health status indicators
work_keys_str_mv AT mohdsaifullahrusiman1970 ontheuseoffuzzycregressiontruncatedmodelsforhealthindicatorinintensivecareunitelectronicresource