IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i17p2115-d627056.html
   My bibliography  Save this article

A Novel Approach to Generalized Intuitionistic Fuzzy Sets Based on Interpolative Boolean Algebra

Author

Listed:
  • Pavle Milošević

    (Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia)

  • Bratislav Petrović

    (Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia)

  • Ivana Dragović

    (Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia)

Abstract

One of the main issues in IFS theory are generalizations of intuitionistic fuzzy set (IFS) definition as well as IFS operations. In this paper, we present the LBIFS-IBA approach by applying operations based on interpolative Boolean algebra (IBA) on generalized IFS. Namely, LBIFS are defined as a special case of Liu’s generalized IFS with the maximal interpretational surface. By extending the interpretational surface, the descriptive power of the approach is enhanced, and therefore the problematic situations when μ A + ν A > 1 can be modeled. In addition, IBA-based algebra secures Boolean properties of the proposed approach. Considerable attention is given to comprehension of uncertainty within LBIFS-IBA, i.e., we propose a novel manner of uncertainty interpretation by treating values from [−1,1] interval. In order to prove its importance, we compare LBIFS-IBA with several well-known IFS generalizations, showing that only our approach offers meaningful uncertainty interpretation is all selected cases. Additionally, we illustrate the practical benefits of LBIFS-IBA by applying it to an example of modeling Japanese candlesticks for price charting and paying special attention to uncertainty interpretation.

Suggested Citation

  • Pavle Milošević & Bratislav Petrović & Ivana Dragović, 2021. "A Novel Approach to Generalized Intuitionistic Fuzzy Sets Based on Interpolative Boolean Algebra," Mathematics, MDPI, vol. 9(17), pages 1-21, September.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:17:p:2115-:d:627056
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/17/2115/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/17/2115/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bin Zhu & Zeshui Xu & Meimei Xia, 2012. "Dual Hesitant Fuzzy Sets," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-13, May.
    2. Young Bae Jun & Kyung Ho Kim, 2000. "Intuitionistic fuzzy ideals of BCK-algebras," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 24, pages 1-11, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Srđan Jelinek & Pavle Milošević & Aleksandar Rakićević & Ana Poledica & Bratislav Petrović, 2022. "A Novel IBA-DE Hybrid Approach for Modeling Sovereign Credit Ratings," Mathematics, MDPI, vol. 10(15), pages 1-21, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dheeraj Kumar Joshi & Ismat Beg & Sanjay Kumar, 2018. "Hesitant Probabilistic Fuzzy Linguistic Sets with Applications in Multi-Criteria Group Decision Making Problems," Mathematics, MDPI, vol. 6(4), pages 1-20, March.
    2. Chaube, Shshank & Joshi, Dheeraj Kumar & Ujarari, Chandan Singh, 2023. "Hesitant Bifuzzy Set (an introduction): A new approach to assess the reliability of the systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 205(C), pages 98-107.
    3. Hui Gao & Linggang Ran & Guiwu Wei & Cun Wei & Jiang Wu, 2020. "VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    4. Qasim Noor & Tabasam Rashid & Syed Muhammad Husnine, 2021. "An extended TDM method under probabilistic interval-valued hesitant fuzzy environment for stock selection," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-24, May.
    5. Li Li & Hegong Lei & Jun Wang, 2020. "Q -Rung Probabilistic Dual Hesitant Fuzzy Sets and Their Application in Multi-Attribute Decision-Making," Mathematics, MDPI, vol. 8(9), pages 1-34, September.
    6. Huiping Chen & Guiqiong Xu & Pingle Yang, 2019. "Multi-Attribute Decision-Making Approach Based on Dual Hesitant Fuzzy Information Measures and Their Applications," Mathematics, MDPI, vol. 7(9), pages 1-18, August.
    7. Muhammad Sarwar Sindhu & Muhammad Ahsan & Khalil Ahmad & Imran Ameen Khan, 2024. "Modeling of Decision-Making Based on Hesitant Fuzzy Sets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 720-729.
    8. Asma Mahmood & Mohsan Raza, 2021. "Observation of a Change in Human Attitude in a Decision Making Process Equipped with an Interference of a Third Party," Mathematics, MDPI, vol. 9(21), pages 1-14, November.
    9. Young Bae Jun & Seok-Zun Song & Kyoung Ja Lee, 2018. "Intuitionistic Falling Shadow Theory with Applications in BCK / BCI -Algebras," Mathematics, MDPI, vol. 6(8), pages 1-9, August.
    10. Mei Tang & Jie Wang & Jianping Lu & Guiwu Wei & Cun Wei & Yu Wei, 2019. "Dual Hesitant Pythagorean Fuzzy Heronian Mean Operators in Multiple Attribute Decision Making," Mathematics, MDPI, vol. 7(4), pages 1-27, April.
    11. Wang Feng, 2019. "Aggregation Similarity Measure Based on Hesitant Fuzzy Closeness Degree and Its Application to Clustering Analysis," Journal of Systems Science and Information, De Gruyter, vol. 7(1), pages 70-89, February.
    12. Saleem Abdullah & Alaa O. Almagrabi & Ihsan Ullah, 2023. "A New Approach to Artificial Intelligent Based Three-Way Decision Making and Analyzing S-Box Image Encryption Using TOPSIS Method," Mathematics, MDPI, vol. 11(6), pages 1-19, March.
    13. Kumar, Sourabh & Barua, Mukesh Kumar, 2023. "Exploring the hyperledger blockchain technology disruption and barriers of blockchain adoption in petroleum supply chain," Resources Policy, Elsevier, vol. 81(C).
    14. Fanyong Meng & Aiqing Zeng & Jie Tang & Witold Pedrycz, 2023. "Ranking Objects from Individual Linguistic Dual Hesitant Fuzzy Information in View of Optimal Model-Based Consistency and Consensus Iteration Algorithm," Group Decision and Negotiation, Springer, vol. 32(1), pages 5-44, February.
    15. Xiaonan Ji & Lixia Yu & Jiapei Fu, 2019. "Evaluating Personal Default Risk in P2P Lending Platform: Based on Dual Hesitant Pythagorean Fuzzy TODIM Approach," Mathematics, MDPI, vol. 8(1), pages 1-14, December.
    16. Chachra, Aayushi & Kumar, Akshay & Ram, Mangey, 2023. "Intuitionistic fuzzy approach to reliability assessment of multi-state systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 212(C), pages 489-503.
    17. Harish Garg & Gagandeep Kaur, 2018. "Algorithm for Probabilistic Dual Hesitant Fuzzy Multi-Criteria Decision-Making Based on Aggregation Operators with New Distance Measures," Mathematics, MDPI, vol. 6(12), pages 1-30, November.
    18. Junling Zhang & Linying Shen & Lijun Liu & Xiaowen Qi & Changyong Liang, 2022. "Tackling Comprehensive Evaluation of Tourism Community Resilience: A Probabilistic Hesitant Linguistic Group Decision Making Approach," Land, MDPI, vol. 11(10), pages 1-32, September.
    19. Young Bae Jun & Eun Hwan Roh & Mehmet Ali Öztürk, 2018. "Positive Implicative Ideals of BCK -Algebras Based on Intuitionistic Falling Shadows," Mathematics, MDPI, vol. 6(9), pages 1-16, August.
    20. Yan Ni & Hua Zhao & Zeshui Xu & Zeyan Wang, 2022. "Multiple attribute decision-making method based on projection model for dual hesitant fuzzy set," Fuzzy Optimization and Decision Making, Springer, vol. 21(2), pages 263-289, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:17:p:2115-:d:627056. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.