Human action quality evaluation based on fuzzy logic with application in underground coal mining.

BACKGROUND: The work system is defined by its components, their roles and the relationships between them. Any work system gravitates around the human resource and the interdependencies between human factor and the other components of it. Researches in this field agreed that the human factor and its...

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Publicado en:Work Vol. 51; no. 3; pp. 611 - 621
Autores principales: Ionica, Andreea, Leba, Monica
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. 2015
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Human action quality evaluation based on fuzzy logic with application in underground coal mining.
      aug:
        au:
          Ionica, Andreea
          Leba, Monica
        affil: Management Department, University of Petrosani, Petrosani, Romania
      sug:
        subj:
          Work Evaluation
          Mining Romania
          Fossil Fuels
          Logic
          Human
          Romania
          Organizational Efficiency
          Quality Improvement
      ab: BACKGROUND: The work system is defined by its components, their roles and the relationships between them. Any work system gravitates around the human resource and the interdependencies between human factor and the other components of it. Researches in this field agreed that the human factor and its actions are difficult to quantify and predict. OBJECTIVE: The objective of this paper is to apply a method of human actions evaluation in order to estimate possible risks and prevent possible system faults, both at human factor level and at equipment level. METHODS: In order to point out the importance of the human factor influence on all the elements of the working systems we propose a fuzzy logic based methodology for quality evaluation of human actions. This methodology has a multidisciplinary character, as it gathers ideas and methods from: quality management, ergonomics, work safety and artificial intelligence. RESULTS: The results presented refer to a work system with a high degree of specificity, namely, underground coal mining and are valuable for human resources risk evaluation pattern. CONCLUSIONS: The fuzzy logic evaluation of the human actions leads to early detection of possible dangerous evolutions of the work system and alarm the persons in charge.
      pubtype: Academic Journal
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      ougenre: Article
    language: English
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