An innovative integrated modelling of safety data using multiple correspondence analysis and fuzzy discretization techniques-Reference-Cited by-同舟云学术

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An innovative integrated modelling of safety data using multiple correspondence analysis and fuzzy discretization techniques

Published:2020-10 Issue: Volume:130 Page:104828
ISSN:0925-7535
Container-title:Safety Science
language:en
Short-container-title:Safety Science

Author:

Dhalmahapatra Krantiraditya,Shingade Rohan,Maiti J.

Funder

Ministry of Human Resource Development

Ministry of Steel, New Delhi, India

Tata Steel Limited, Jamshedpur, India

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Reference58 articles.

1. Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions;Alcala;Soft. Comput.,2011

2. Investigating car users’ attitudes to climate change using multiple correspondence analysis;Ali;J. Transp. Geogr.,2018

3. Generalized possibilistic fuzzy C-means with novel cluster validity indices for clustering noisy data;Askari;Appl. Soft Comput. J.,2017

4. A comparison of methods for discretizing continuous variables in Bayesian Networks;Beuzen;Environ. Modell. Software,2018

5. A greedy algorithm for supervised discretization;Butterworth;J. Biomed. Inform.,2004

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