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Information Journal Paper

Title

A NOVEL GREY– FUZZY– MARKOV AND PATTERN RECOGNITION MODELFOR INDUSTRIAL ACCIDENT FORECASTING

Pages

  445-489

Abstract

 Industrial forecasting is a top-echelon researchdomain, which has over the past several years experiencedhighly provocative research discussions. The scope of thisresearch domain continues to expand due to the continuousknowledge ignition motivated by scholars in the area. So, more intelligent and intellectual contributions on currentresearch issues in the accident domain will potentially sparkmore lively academic, value-added discussions that will be ofpractical significance to members of the safety community. Inthis communication, a new GREY–; FUZZY–; Markov time seriesmodel, developed from nondifferential grey interval analyticalframework has been presented for the first time. Thisinstrument forecasts future accident occurrences under timeinvarianceassumption. The actual contribution made in thearticle is to recognise accident occurrence patterns anddecompose theminto grey state principal pattern components. The architectural framework of the developed GREY–; FUZZY–; Markov PATTERN RECOGNITION (GFMAPR) model has fourstages: fuzzification, smoothening, defuzzification andwhitenisation. The results of application of the developednovel model signify that forecasting could be effectivelycarried out under uncertain conditions and hence, positions themodel as a distinctly superior tool for accident forecastinginvestigations. The novelty of thework lies in the capability ofthe model inmaking highly accurate predictions and forecastsbased on the availability of small or incomplete accident data.

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    APA: Copy

    EDEM, INYENEOBONG EKOI, OKE, SUNDAY AYOOLA, & ADEBIYI, KAZEEM ADEKUNLE. (2018). A NOVEL GREY– FUZZY– MARKOV AND PATTERN RECOGNITION MODELFOR INDUSTRIAL ACCIDENT FORECASTING. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 14(3), 445-489. SID. https://sid.ir/paper/310157/en

    Vancouver: Copy

    EDEM INYENEOBONG EKOI, OKE SUNDAY AYOOLA, ADEBIYI KAZEEM ADEKUNLE. A NOVEL GREY– FUZZY– MARKOV AND PATTERN RECOGNITION MODELFOR INDUSTRIAL ACCIDENT FORECASTING. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2018;14(3):445-489. Available from: https://sid.ir/paper/310157/en

    IEEE: Copy

    INYENEOBONG EKOI EDEM, SUNDAY AYOOLA OKE, and KAZEEM ADEKUNLE ADEBIYI, “A NOVEL GREY– FUZZY– MARKOV AND PATTERN RECOGNITION MODELFOR INDUSTRIAL ACCIDENT FORECASTING,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 14, no. 3, pp. 445–489, 2018, [Online]. Available: https://sid.ir/paper/310157/en

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