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International Conference on Intelligent and Fuzzy Systems

INFUS 2022: Intelligent and Fuzzy Systems pp 581–588Cite as

Digital Interpretation of Movie Sales Revenue Through Intuitionistic Fuzzy Analysis of Variance

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 504))

Abstract

The Covid-19 pandemic has accelerated the digital transformation of the industry with the rapid adoption of digital technologies and created a digital economy. As a consequence of digitalization, business intelligent systems have been created that analyze data in order to support management decisions. Analysis of variance (ANOVA) is a basic method in data analysis. The galloping inflation and the pandemic lead to accumulation of unclear data in business. The classical methods for analysis cannot handle their processing. To solve the problem, we extended ANOVA to the intuitionistic fuzzy IFANOVA so that it can process intuitionistic fuzzy observations rather than clear numbers. The proposed new approach combines the advantages of ANOVA and the concepts of intuitionistic fuzzy logic and index matrices. A software utility for IFANOVA was created in order to digitize the calculations. The paper applies IFANOVA on a unique set of data from a Cinema City Bulgaria multiplex to analyze the dependencies of ticket sales for the premieres of the films “Heights” and “Avengers” by the factor “day of the week”. The proposed IFANOVA can be used to modernize intelligent business systems in uncertainty.

Supported by the Asen Zlatarov University under Project NIX-440/2020 “Index matrices as a tool for knowledge extraction”.

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Author information

Authors and Affiliations

  1. “Prof. Asen Zlatarov” University, “Prof. Yakimov” Blvd, Bourgas, 8000, Bulgaria

    Velichka Traneva & Stoyan Tranev

Authors
  1. Velichka Traneva
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  2. Stoyan Tranev
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Corresponding author

Correspondence to Velichka Traneva .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  3. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  5. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Basar Oztaysi

  6. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Traneva, V., Tranev, S. (2022). Digital Interpretation of Movie Sales Revenue Through Intuitionistic Fuzzy Analysis of Variance. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 504. Springer, Cham. https://doi.org/10.1007/978-3-031-09173-5_67

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