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Soft Computing

, Volume 23, Issue 2, pp 557–567 | Cite as

Interval type-2 fuzzy logic and its application to occupational safety risk performance in industries

  • Dipak Kumar JanaEmail author
  • Sutapa Pramanik
  • Palash Sahoo
  • Anupam Mukherjee
Methodologies and Application

Abstract

In this paper, we have developed an interval type-2 fuzzy logic controller  (T2FLC) approach for assessment of the risks that workers expose to at construction sites. Using this novel approach, past accident data, subjective judgments of experts, and the current safety level of a construction site are to be combined. The method is then implemented on a tunneling construction site and risk level for all type of accidents is formulated. In T2FLC assists to trace inputs and outputs in a well-organized manner for building the inferences train so that various types of risk assessment can be predicted in industry. Finally, a comparative study has been successfully performed with type-1 and type-2 fuzzy dataset for improving risk assessment that can be easily determined in the type-2 fuzzy prediction model for improving accuracy. Validity of the proposed model is done with the help of statistical analysis and multiple linear regressions.

Keywords

Safety performance Expert system Construction safety Risk assessment Fuzzy inference system Interval type-2 fuzzy logic 

Notes

Acknowledgements

The authors would like to thank to the editors and anonymous referees for various suggestions which have led to an improvement in both the quality and clarity of the paper. We, Dr. Dipak Kumar Jana and Dr. Sutapa Pramanik, would like to acknowledge the blessings of our daughter Adritya Jana (DOB: 05/10/15).

Compliance with ethical standards

Conflict of interest

The authors have no conflict of interest for the publication of this paper.

Ethical approval

The authors declared that this article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Engineering ScienceHaldia Institute of TechnologyHaldia, Purba MidnapurIndia
  2. 2.Department of Applied Mathematics with Oceanology and Computer ProgrammingVidyasagar UniversityMidnaporeIndia
  3. 3.Department of MathematicsCalcutta Institute of TechnologyBanitabla, Uluberia, HowrahIndia
  4. 4.Department of Chemical EngineeringHaldia Institute of TechnologyHaldiaIndia

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