IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v232y2025icp362-381.html
   My bibliography  Save this article

Decision making based ensemble feature selection approach through a new score function in q-rung orthopair hesitant fuzzy environment

Author

Listed:
  • S., Kavitha
  • N., Kendra
  • J., Satheeshkumar
  • T., Amudha
  • Manavalan, Balachandran

Abstract

This article presents an ensemble feature selection approach grounded in multi-criteria decision-making techniques through the development of a novel scoring function. We explore the q-rung orthopair hesitant fuzzy set, introducing a new score function for the q-rung orthopair hesitant fuzzy numbers based on an exponential model. Both the newly developed score function and the existing score function for this fuzzy set are combined with decision-making methods to form an ensemble feature selection method, demonstrating the proposed score function’s effectiveness. Additionally, our technique is compared with existing feature selection methods, both individual and ensemble, to verify its statistical significance and superiority.

Suggested Citation

  • S., Kavitha & N., Kendra & J., Satheeshkumar & T., Amudha & Manavalan, Balachandran, 2025. "Decision making based ensemble feature selection approach through a new score function in q-rung orthopair hesitant fuzzy environment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 232(C), pages 362-381.
    • Handle: RePEc:eee:matcom:v:232:y:2025:i:c:p:362-381
    DOI: 10.1016/j.matcom.2024.12.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475424004907
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.matcom.2024.12.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abbas Mardani & Edmundas Kazimieras Zavadskas & Kannan Govindan & Aslan Amat Senin & Ahmad Jusoh, 2016. "VIKOR Technique: A Systematic Review of the State of the Art Literature on Methodologies and Applications," Sustainability, MDPI, vol. 8(1), pages 1-38, January.
    2. Janani, K. & Mohanrasu, S.S. & Kashkynbayev, Ardak & Rakkiyappan, R., 2024. "Minkowski distance measure in fuzzy PROMETHEE for ensemble feature selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 264-295.
    3. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    4. Mehdi Keshavarz Ghorabaee & Maghsoud Amiri & Edmundas Kazimieras Zavadskas & Reyhaneh Hooshmand & Jurgita Antuchevičienė, 2017. "Fuzzy extension of the CODAS method for multi-criteria market segment evaluation," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(1), pages 1-19, January.
    5. Mohanrasu, S.S. & Janani, K. & Rakkiyappan, R., 2024. "A COPRAS-based Approach to Multi-Label Feature Selection for Text Classification," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 3-23.
    6. Kavitha, S. & Satheeshkumar, J. & Amudha, T., 2024. "Multi-label feature selection using q-rung orthopair hesitant fuzzy MCDM approach extended to CODAS," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 148-173.
    7. Liu, Fang & Chen, Ya-Ru & Zhou, Da-Hai, 2023. "A two-dimensional approach to flexibility degree of XOR numbers with application to group decision making," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 267-287.
    8. Yu, Xiaobing & Wang, Haoyu & Lu, Yangchen, 2024. "An adaptive ranking moth flame optimizer for feature selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 219(C), pages 164-184.
    Full references (including those not matched with items on IDEAS)

    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. Kavitha, S. & Satheeshkumar, J. & Amudha, T., 2024. "Multi-label feature selection using q-rung orthopair hesitant fuzzy MCDM approach extended to CODAS," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 148-173.
    2. Dragan Pamučar & Ibrahim Badi & Korica Sanja & Radojko Obradović, 2018. "A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya," Energies, MDPI, vol. 11(9), pages 1-25, September.
    3. Mishra, Arunodaya Raj & Mardani, Abbas & Rani, Pratibha & Kamyab, Hesam & Alrasheedi, Melfi, 2021. "A new intuitionistic fuzzy combinative distance-based assessment framework to assess low-carbon sustainable suppliers in the maritime sector," Energy, Elsevier, vol. 237(C).
    4. Luis Pérez-Dominguez & Sara-Nohemí Almeraz Durán & Roberto Romero López & Iván Juan Carlos Pérez-Olguin & David Luviano-Cruz & Jesús Andrés Hernández Gómez, 2021. "Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: A Case of Study of Ciudad Juárez," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    5. Fatma Betül Yeni & Gökhan Özçelik, 2019. "Interval-Valued Atanassov Intuitionistic Fuzzy CODAS Method for Multi Criteria Group Decision Making Problems," Group Decision and Negotiation, Springer, vol. 28(2), pages 433-452, April.
    6. Janani, K. & Mohanrasu, S.S. & Kashkynbayev, Ardak & Rakkiyappan, R., 2025. "Ensemble feature selection via CoCoSo method extended to interval-valued intuitionistic fuzzy environment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 229(C), pages 50-77.
    7. Mahmut Baydaş & Mustafa Yılmaz & Željko Jović & Željko Stević & Sevilay Ece Gümüş Özuyar & Abdullah Özçil, 2024. "A comprehensive MCDM assessment for economic data: success analysis of maximum normalization, CODAS, and fuzzy approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    8. Verónica Sansabas-Villalpando & Iván Juan Carlos Pérez-Olguín & Luis Asunción Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Luis Carlos Mendez-González, 2019. "CODAS HFLTS Method to Appraise Organizational Culture of Innovation and Complex Technological Changes Environments," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    9. KİRACI Kasim & BAKIR Mahmut, 2020. "Evaluation Of Airlines Performance Using An Integrated Critic And Codas Methodology: The Case Of Star Alliance Member Airlines," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(1), pages 83-99, April.
    10. Dilbagh PANCHAL & Prasenjit CHATTERJEE & Rajendra Kumar SHUKLA & Tanupriya CHOUDHURY & Jolanta TAMOSAITIENE, 2017. "Integrated Fuzzy AHP-Codas Framework for Maintenance Decision in Urea Fertilizer Industry," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(3), pages 179-196.
    11. Syed Abdul Rehman Khan & Manoj Mathew & P. D. D. Dominic & Muhammad Umar, 2022. "Evaluation and selection strategy for green supply chain using interval-valued q-rung orthopair fuzzy combinative distance-based assessment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10633-10665, September.
    12. Wabukala, Benard M. & Bergland, Olvar & Mukisa, Nicholas & Adaramola, Muyiwa S. & Watundu, Susan & Orobia, Laura A. & Rudaheranwa, Nichodemus, 2024. "Electricity security in Uganda: Measurement and policy priorities," Utilities Policy, Elsevier, vol. 91(C).
    13. Hisham Alidrisi, 2021. "An Innovative Job Evaluation Approach Using the VIKOR Algorithm," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    14. Mahmut Baydaş & Orhan Emre Elma & Željko Stević, 2024. "Proposal of an innovative MCDA evaluation methodology: knowledge discovery through rank reversal, standard deviation, and relationship with stock return," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
    15. Pratibha Rani & Arunodaya Raj Mishra & Abbas Mardani & Fausto Cavallaro & Dalia Štreimikienė & Syed Abdul Rehman Khan, 2020. "Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    16. Pedro Jose Gudiel Pineda & Chao-Che Hsu & James J. H. Liou & Huai-Wei Lo, 2018. "A Hybrid Model for Aircraft Type Determination Following Flight Cancellation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1147-1172, July.
    17. Ahmed, Fawad & Zhu, Shunmin & Yu, Guoyao & Luo, Ercang, 2022. "A potent numerical model coupled with multi-objective NSGA-II algorithm for the optimal design of Stirling engine," Energy, Elsevier, vol. 247(C).
    18. Seyed Morteza Hatefi & Hamideh Asadi & Gholamreza Shams & Jolanta Tamošaitienė & Zenonas Turskis, 2021. "Model for the Sustainable Material Selection by Applying Integrated Dempster-Shafer Evidence Theory and Additive Ratio Assessment (ARAS) Method," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    19. Nazlı Ersoy & Nuh Keleş, 2024. "Comparison of multi-criteria decision-making methods with the same normalization procedure based on real-life applications," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(3), pages 87-100.
    20. Marco Locurcio & Francesco Tajani & Pierluigi Morano & Debora Anelli & Benedetto Manganelli, 2021. "Credit Risk Management of Property Investments through Multi-Criteria Indicators," Risks, MDPI, vol. 9(6), pages 1-23, 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:eee:matcom:v:232:y:2025:i:c:p:362-381. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    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.