Modeling uncertainty in declarative artifact-centric process models

Onderzoeksoutput: Bijdrage aan congresPaperAcademic

Uittreksel

Many knowledge-intensive processes are driven by business
entities about which knowledge workers make decisions and to which they
add information. Artifact-centric process models have been proposed to
represent such knowledge-intensive processes. Declarative artifact-centric
process models use business rules that dene how knowledge experts
can make progress in a process. However, in many business situations
knowledge experts have to deal with uncertainty and vagueness. Currently,
how to deal with such situations cannot be expressed in declarative
artifact-centric process models. We propose the use of fuzzy logic to
model uncertainty.We use Guard-Stage-Milestone schemas as declarative
artifact-centric process notation and we extend them with fuzzy sentries.
We explain how the resulting fuzzy GSM schemas can be evaluated by
extending an existing GSM engine with a tool for fuzzy evaluation of
rules. We evaluate fuzzy GSM schemas by applying them to an existing
fragment of regulations for handling a mortgage contract.

Workshop

Workshop2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018)
Verkorte titelAI4BPM 2018
LandAustralië
StadSydney
Periode9/09/1814/09/18
Internet adres

Vingerafdruk

Global system for mobile communications
Industry
Fuzzy logic
Engines
Uncertainty

Trefwoorden

    Citeer dit

    Eshuis, H., & Firat, M. (2018). Modeling uncertainty in declarative artifact-centric process models. Paper gepresenteerd op 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), Sydney, Australië.
    Eshuis, H. ; Firat, M./ Modeling uncertainty in declarative artifact-centric process models. Paper gepresenteerd op 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), Sydney, Australië.
    @conference{b20db544442246b79bdb12f9def224e2,
    title = "Modeling uncertainty in declarative artifact-centric process models",
    abstract = "Many knowledge-intensive processes are driven by businessentities about which knowledge workers make decisions and to which theyadd information. Artifact-centric process models have been proposed torepresent such knowledge-intensive processes. Declarative artifact-centricprocess models use business rules that dene how knowledge expertscan make progress in a process. However, in many business situationsknowledge experts have to deal with uncertainty and vagueness. Currently,how to deal with such situations cannot be expressed in declarativeartifact-centric process models. We propose the use of fuzzy logic tomodel uncertainty.We use Guard-Stage-Milestone schemas as declarativeartifact-centric process notation and we extend them with fuzzy sentries.We explain how the resulting fuzzy GSM schemas can be evaluated byextending an existing GSM engine with a tool for fuzzy evaluation ofrules. We evaluate fuzzy GSM schemas by applying them to an existingfragment of regulations for handling a mortgage contract.",
    keywords = "Declarative Artifact-Centric Process Models, Modeling Uncertainty",
    author = "H. Eshuis and M. Firat",
    year = "2018",
    language = "English",
    note = "2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), AI4BPM 2018 ; Conference date: 09-09-2018 Through 14-09-2018",
    url = "https://sites.google.com/view/ai4bpm-2018/home",

    }

    Eshuis, H & Firat, M 2018, 'Modeling uncertainty in declarative artifact-centric process models' Paper gepresenteerd op, Sydney, Australië, 9/09/18 - 14/09/18, .

    Modeling uncertainty in declarative artifact-centric process models. / Eshuis, H.; Firat, M.

    2018. Paper gepresenteerd op 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), Sydney, Australië.

    Onderzoeksoutput: Bijdrage aan congresPaperAcademic

    TY - CONF

    T1 - Modeling uncertainty in declarative artifact-centric process models

    AU - Eshuis,H.

    AU - Firat,M.

    PY - 2018

    Y1 - 2018

    N2 - Many knowledge-intensive processes are driven by businessentities about which knowledge workers make decisions and to which theyadd information. Artifact-centric process models have been proposed torepresent such knowledge-intensive processes. Declarative artifact-centricprocess models use business rules that dene how knowledge expertscan make progress in a process. However, in many business situationsknowledge experts have to deal with uncertainty and vagueness. Currently,how to deal with such situations cannot be expressed in declarativeartifact-centric process models. We propose the use of fuzzy logic tomodel uncertainty.We use Guard-Stage-Milestone schemas as declarativeartifact-centric process notation and we extend them with fuzzy sentries.We explain how the resulting fuzzy GSM schemas can be evaluated byextending an existing GSM engine with a tool for fuzzy evaluation ofrules. We evaluate fuzzy GSM schemas by applying them to an existingfragment of regulations for handling a mortgage contract.

    AB - Many knowledge-intensive processes are driven by businessentities about which knowledge workers make decisions and to which theyadd information. Artifact-centric process models have been proposed torepresent such knowledge-intensive processes. Declarative artifact-centricprocess models use business rules that dene how knowledge expertscan make progress in a process. However, in many business situationsknowledge experts have to deal with uncertainty and vagueness. Currently,how to deal with such situations cannot be expressed in declarativeartifact-centric process models. We propose the use of fuzzy logic tomodel uncertainty.We use Guard-Stage-Milestone schemas as declarativeartifact-centric process notation and we extend them with fuzzy sentries.We explain how the resulting fuzzy GSM schemas can be evaluated byextending an existing GSM engine with a tool for fuzzy evaluation ofrules. We evaluate fuzzy GSM schemas by applying them to an existingfragment of regulations for handling a mortgage contract.

    KW - Declarative Artifact-Centric Process Models

    KW - Modeling Uncertainty

    M3 - Paper

    ER -

    Eshuis H, Firat M. Modeling uncertainty in declarative artifact-centric process models. 2018. Paper gepresenteerd op 2018 Artificial Intelligence for Business Process Management Workshop (AI4BPM 20018), Sydney, Australië.