A Hybrid Algorithm for Multilayer Perceptron Design with Intuitionistic Fuzzy Logic Using Malignant Melanoma Disease Data


Sotirov S., Petrova Y., Bozov H., Sotirova E.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.504, pp.665-672 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 504
  • Doi Number: 10.1007/978-3-031-09173-5_77
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.665-672
  • Keywords: InterCriteria analysis, Malignant melanoma, Intuitionistic Fuzzy Logic, Multilayer Perceptron
  • Istanbul Technical University Affiliated: No

Abstract

In the article a method for reducing the input data coming to the input of a neural network of the Multilayer Perceptron type is proposed. The data that was used for the analysis are related to one of the most malignant tumors - malignant melanoma. They refer to patients with malignant melanoma that were registered in Oncology Complex Center in Burgas town. The data and contain information about age, sex, marital status of the patient, date of diagnosis, name of the disease according to the International statistical classification of diseases and health problems. The InterCriteria Analysis (ICA) approach was used to analyze the relationships between these parameters.