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abstract: 'It is a crucial task to build qualitative models of industrial applications for model-based diagnosis. A Model Abstraction procedure is designed to automatically transform a quantitative model into qualitative model. If the data is monotone, the behavior can be easily abstracted using the corners of the bounding rectangle. Hence, many existing model abstraction approaches rely on monotonicity. But it is not a trivial problem to robustly detect monotone pieces from scattered data obtained by numerical simulation or experiments. This paper introduces an approach based on scale-dependent monotonicity: the notion that monotonicity can be defined relative to a scale. Real-valued functions defined on a finite set of reals e.g. simulation results, can be partitioned into quasi-monotone segments. The end points for the monotone segments are used as the initial set of landmarks for qualitative model abstraction. The qualitative model abstraction works as an iteratively refining process starting from the initial landmarks. The monotonicity analysis presented here can be used in constructing many other kinds of qualitative models; it is robust and computationally efficient.'
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: 2004
conference: ECAI MONET
confloc: 'Valencia, Spain'
contact_email: ~
creators_id: []
creators_name:
  - family: Yan
    given: Yuhong
    honourific: ''
    lineage: ''
  - family: Lemire
    given: Daniel
    honourific: ''
    lineage: ''
  - family: Brooks
    given: Martin
    honourific: ''
    lineage: ''
date: 2004
date_type: published
datestamp: 2005-08-06
department: ~
dir: disk0/00/00/44/93
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editors_id: []
editors_name: []
eprint_status: archive
eprintid: 4493
fileinfo: /style/images/fileicons/application_pdf.png;/4493/1/ecai2004_nrc.pdf
full_text_status: public
importid: ~
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isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'Piecewise Quasi-Monotone Functions, Model-Based Diagnostic, Qualitative Model Abstraction'
lastmod: 2011-03-11 08:56:09
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: ~
pubdom: FALSE
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refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 17:00:17
subjects:
  - comp-sci-art-intel
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: ' Monotone Pieces Analysis for Qualitative Modeling'
type: confpaper
userid: 4175
volume: ~
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