Review of Descriptive Analytics Under Fuzziness

Farrokhizadeh E., Öztayşi B.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.505, pp.639-645 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 505
  • Doi Number: 10.1007/978-3-031-09176-6_71
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.639-645
  • Keywords: Business analytics, Descriptive analytics, Fuzzy sets, FUZZY ASSOCIATION RULES, MODEL
  • Istanbul Technical University Affiliated: Yes


Business Analytics is one of the business management methods that deals with descriptive models which create meaningful insights to support and reinforce the business performance. It is one of the most widely used topics in business and Industry. The first state of each analytics is collecting valid data. Descriptive Analytics is the first stage of data processing that outlines historical data to acquire helpful information and organize the data for advanced analysis. In analyzing and classifying data from a statistical perspective, fuzzy sets and logic have become valuable tools to either model and handle imprecise data or establish flexible techniques to deal with precise data. Despite the popularity of Business Analytics in literature and the importance of Descriptive analytics as a first step, many aspects are still unclear. So due to the importance of Descriptive Analytics for organizations and the vagueness nature of data, we try to review Descriptive Analytics under fuzziness in this article.