A unique algorithm for the assessment and improvement of job satisfaction by resilience engineering: Hazardous labs

International Journal of Industrial Ergonomics

Volumn 49, Issue , 2015, Pages 68-77

  Azadeh, A ^a   Alizadeh Bonab, N ^a   Salehi, V ^a   Zarrin, M ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Adaptive network based fuzzy inference system (ANFIS); Artificial neural network (ANN); Hazardous laboratories; Health; Job satisfaction; Resilience engineering (RE); Safety and environment (HSE)

Indexed keywords

ALGORITHMS; COMPLEX NETWORKS; FUZZY SETS; HAZARDS; HEALTH; JOB SATISFACTION; LABORATORIES; NEURAL NETWORKS; OCCUPATIONAL RISKS; REGRESSION ANALYSIS; SAFETY ENGINEERING; SURVEYS;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ASSESSMENT AND IMPROVEMENT; IMPORTANT FEATURES; INTELLIGENT ALGORITHMS; NEURO-FUZZY ALGORITHMS; OCCUPATIONAL SAFETY; RESILIENCE ENGINEERINGS; TECHNICAL OPERATIONS;

FUZZY INFERENCE;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ENGINEERING; ERGONOMICS; FEMALE; FUZZY SYSTEM; HUMAN; JOB SATISFACTION; LABORATORY; MALE; OCCUPATIONAL HEALTH; OCCUPATIONAL SAFETY; PRIORITY JOURNAL; REGRESSION ANALYSIS; RESILIENCE ENGINEERING; WORK ENVIRONMENT;

EID: 84935014986     PISSN: 01698141     EISSN: 18728219     Source Type: Journal    
DOI: 10.1016/j.ergon.2015.06.002     Document Type: Article

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