Assessment of safety performance in Indian industries using fuzzy approach

被引：48

作者：

Beriha, G. S. ^{[1
]}

Patnaik, B. ^{[1
]}

Mahapatra, S. S. ^{[1
]}

Padhee, S. ^{[2
]}

机构：

[1] Natl Inst Technol, Rourkela 769008, India

[2] Veer Surendra Sai Univ Technol, Burla 768017, India

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 03期

关键词：

Safety performance; Expert system; Occupational health and safety (OHS); Fuzzy sets; RISK-ASSESSMENT METHODOLOGY; PREDICTION; CLASSIFICATION; INFORMATION; WORKPLACE; SYSTEM; MODEL;

D O I：

10.1016/j.eswa.2011.09.018

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an artificial intelligence approach for prediction of different types of accidents (fatal to minor) in an uncertain environment. Likelihood of occurrence of accidents in the work place is a random phenomenon but judicious investment in various attribute such as expenses in health care, safety training, up-gradation of tools and machinery, and expenses on safety equipment and tools may lead to reduction in accident rate. The relationship between type of accidents and investment is difficult to establish because they do not follow any predictable rule rather associate in a non-linear manner. In such situation, fuzzy logic helps to map inputs and outputs in an efficient manner for building the inference engine so that various types of accidents can be predicted. Prediction of various types of accidents helps the managers to formulate organizational policies for improving safety performance. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：3311 / 3323

页数：13

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