A fuzzy multi-attribute model for risk evaluation in workplaces

Grassi, Andrea; Gamberini, Rita; Mora, Cristina; Rimini, Bianca

doi:10.1016/j.ssci.2008.10.002

Cited by 115 publications

(40 citation statements)

References 25 publications

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“…The method is currently widespread in industrial practices (OHSAS 18001) and can be easily applied to case studies although several limits occur. More precisely, Grassi, Gamberini, Mora, and Rimini (2009) underlines that the classical risk index (R)-as a product of probability of an accident (P) and its severity (M)-does not take into account human factors and the characteristics of the working environment. Moreover, quantifying the severity of an injury to a human operator is difficult to assess and statistical data are not often available to estimate the occurrence probability of an accident, so P and M evaluation is usually made through the use of sets of whole numbers (1, 2, 3, etc.).…”

Section: Risk Analysismentioning

confidence: 99%

“…Moreover, quantifying the severity of an injury to a human operator is difficult to assess and statistical data are not often available to estimate the occurrence probability of an accident, so P and M evaluation is usually made through the use of sets of whole numbers (1, 2, 3, etc.). Other significant problems of the R = P·M function are (Grassi et al, 2009):…”

Section: Risk Analysismentioning

confidence: 99%

See 1 more Smart Citation

Urban green spaces activities: A preparatory groundwork for a safety management system

Bortolini¹,

Cividino

Gubiani

et al. 2016

Journal of Safety Research

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Section: Risk Analysismentioning

confidence: 99%

Section: Risk Analysismentioning

confidence: 99%

Urban green spaces activities: A preparatory groundwork for a safety management system

Bortolini¹,

Cividino

Gubiani

et al. 2016

Journal of Safety Research

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“…Some apply typical techniques of knowledge analysis, such as fuzzy theory [13], to try to formalize and quantify subjective aspects, treated as fuzzy variables.…”

Section: Literature Review and Open Issuesmentioning

confidence: 99%

Proposal of a quali-quantitative assessment model for health and safety in small and medium enterprises

Fera

Macchiaroli

2009

Safety and Security Engineering III

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The identification, assessment and reduction of risks is one of the most important elements of health and safety at work. Nowadays, safety at work is becoming an Italian and a globally relevant ethical and technical problem. Risk can be assessed with different methods: qualitative, quantitative or quali-quantitative; while qualitative models are often too simplistic, in turn many times quantitative models are difficult to implement in small and medium enterprises (SMEs). The aim of this work is to present a new practical assessment model that tries to overcome the mentioned difficulties. Beyond its description, the paper also proposes an application study made in an international firm production plant to validate its results.

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“…Kelemenis et al (2011) extend fuzzy TOPSIS for support managers' selection. Grassi et al (2009) proposed an integrated estimative approach based on the fuzzy logic theory, which permits more coherence in the evaluation process, producing a very suitable final rank of hazardous activities. Yu & Hu (2010) developed an integrated multi criteria decision making approach that combines the voting method and the fuzzy TOPSIS method to evaluate the performance of multiple manufacturing plants in a fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

Risk Analysis for Critical Infrastructures Using Fuzzy TOPSIS

Yazdani

Alidoosti

Basiri

2011

jmr

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Critical infrastructures are the most important sector in countries because of the essentiality of nation security, public safety, socioeconomic security, and way of life. According to the importance of infrastructures, it is a necessity to analyze the potential risks to do not allow these risks convert into events. The main purpose of this paper is to provide a developed framework with the aim to overcome limitations of the classical approach to build a more secure, safer, and more resilient critical infrastructures in order to develop, implement, control. The proposed framework extends conventional RAMCAP (Risk Analysis and Management for Critical Asset Protection) through introducing new parameters the effects on risk value. According to the complexity of problem and the inherent uncertainty, this research adopts the fuzzy TOPSIS as a fuzzy multi criteria decision making technique to determine the weights of each criterion and the importance of alternatives with respect to criteria. Case analysis is implemented to illustrate the capability and effectiveness of the model for ranking the risk of critical infrastructures. The proposed model demonstrates a significant ISSN 1941-899X 2012 www.macrothink.org/jmr 2 improvement in comparison with conventional RAMCAP. Journal of Management Research

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A fuzzy multi-attribute model for risk evaluation in workplaces

Cited by 115 publications

References 25 publications

Urban green spaces activities: A preparatory groundwork for a safety management system

Urban green spaces activities: A preparatory groundwork for a safety management system

Proposal of a quali-quantitative assessment model for health and safety in small and medium enterprises

Risk Analysis for Critical Infrastructures Using Fuzzy TOPSIS

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