IDEAS home Printed from https://ideas.repec.org/a/spr/fuzinf/v5y2013i2d10.1007_s12543-013-0137-1.html
   My bibliography  Save this article

New operations over hesitant fuzzy sets

Author

Listed:
  • Rajkumar Verma

    (Jaypee Institute of Information Technology)

  • Bhu Dev Sharma

    (Jaypee Institute of Information Technology)

Abstract

Hesitant fuzzy sets are considered to be the way to characterize vague phenomenon. Their study has opened a new area of research and applications. Set operations on them lead to a number of properties of these sets which are not evident in classical (crisp) sets make the area mathematically also very productive. Since these sets are defined in terms of functions and set of functions, which is not the case when the sets are crisp, it is possible to define several set operations. Such a study enriches the use of these sets. In this paper, four new operations are envisaged, defined and taken up to study a score of new identities on hesitant fuzzy sets.

Suggested Citation

  • Rajkumar Verma & Bhu Dev Sharma, 2013. "New operations over hesitant fuzzy sets," Fuzzy Information and Engineering, Springer, vol. 5(2), pages 129-146, June.
  • Handle: RePEc:spr:fuzinf:v:5:y:2013:i:2:d:10.1007_s12543-013-0137-1
    DOI: 10.1007/s12543-013-0137-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12543-013-0137-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12543-013-0137-1?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. Meimei Xia & Zeshui Xu & Na Chen, 2013. "Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(2), pages 259-279, March.
    2. Liu, Hua-Wen & Wang, Guo-Jun, 2007. "Multi-criteria decision-making methods based on intuitionistic fuzzy sets," European Journal of Operational Research, Elsevier, vol. 179(1), pages 220-233, May.
    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. Palash Dutta & Rupjit Saikia, 2020. "A Decision-making Approach for Choosing a Reliable Product under the Hesitant Fuzzy Environment via a Novel Distance Measure," Vikalpa: The Journal for Decision Makers, , vol. 45(3), pages 147-159, September.

    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. Wenjun Chang & Chao Fu & Nanping Feng & Shanlin Yang, 2021. "Multi-criteria Group Decision Making with Various Ordinal Assessments," Group Decision and Negotiation, Springer, vol. 30(6), pages 1285-1314, December.
    2. Yuanxin Liu & FengYun Li & Yi Wang & Xinhua Yu & Jiahai Yuan & Yuwei Wang, 2018. "Assessing the Environmental Impact Caused by Power Grid Projects in High Altitude Areas Based on BWM and Vague Sets Techniques," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    3. Ouyang, Yao & Pedrycz, Witold, 2016. "A new model for intuitionistic fuzzy multi-attributes decision making," European Journal of Operational Research, Elsevier, vol. 249(2), pages 677-682.
    4. Zhi Pei, 2017. "Multi-attribute decision making based on a novel IF point operator," Fuzzy Optimization and Decision Making, Springer, vol. 16(4), pages 505-524, December.
    5. Mi Jung Son & Jin Han Park & Ka Hyun Ko, 2019. "Some Hesitant Fuzzy Hamacher Power-Aggregation Operators for Multiple-Attribute Decision-Making," Mathematics, MDPI, vol. 7(7), pages 1-33, July.
    6. Zhu, Bin & Xu, Zeshui & Zhang, Ren & Hong, Mei, 2015. "Generalized analytic network process," European Journal of Operational Research, Elsevier, vol. 244(1), pages 277-288.
    7. Yanru Zhong & Zhengshuai Lu & Yiyuan Li & Yuchu Qin & Meifa Huang, 2023. "An Improved Interval-Valued Hesitant Fuzzy Weighted Geometric Operator for Multi-Criterion Decision-Making," Mathematics, MDPI, vol. 11(16), pages 1-14, August.
    8. Arunodaya Raj Mishra & Pratibha Rani & Raghunathan Krishankumar & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Kattur S. Ravichandran, 2021. "A Hesitant Fuzzy Combined Compromise Solution Framework-Based on Discrimination Measure for Ranking Sustainable Third-Party Reverse Logistic Providers," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    9. Mahsa Montajabiha, 2016. "An Extended PROMETHE II Multi-Criteria Group Decision Making Technique Based on Intuitionistic Fuzzy Logic for Sustainable Energy Planning," Group Decision and Negotiation, Springer, vol. 25(2), pages 221-244, March.
    10. Palash Dutta & Rupjit Saikia, 2020. "A Decision-making Approach for Choosing a Reliable Product under the Hesitant Fuzzy Environment via a Novel Distance Measure," Vikalpa: The Journal for Decision Makers, , vol. 45(3), pages 147-159, September.
    11. Jian Lin & Fanyong Meng & Riqing Chen & Qiang Zhang, 2018. "Preference Attitude-Based Method for Ranking Intuitionistic Fuzzy Numbers and Its Application in Renewable Energy Selection," Complexity, Hindawi, vol. 2018, pages 1-14, February.
    12. Jiekun Song & Zeguo He & Lina Jiang & Zhicheng Liu & Xueli Leng, 2022. "Research on Hybrid Multi-Attribute Three-Way Group Decision Making Based on Improved VIKOR Model," Mathematics, MDPI, vol. 10(15), pages 1-21, August.
    13. Bai, Chunguang & Zhu, Qingyun & Sarkis, Joseph, 2021. "Joint blockchain service vendor-platform selection using social network relationships: A multi-provider multi-user decision perspective," International Journal of Production Economics, Elsevier, vol. 238(C).
    14. Gitinavard, Hossein & Mousavi, S. Meysam & Vahdani, Behnam, 2017. "Soft computing based on hierarchical evaluation approach and criteria interdependencies for energy decision-making problems: A case study," Energy, Elsevier, vol. 118(C), pages 556-577.
    15. Ocampo, Lanndon & Aro, Joerabell Lourdes & Evangelista, Samantha Shane & Maturan, Fatima & Atibing, Nadine May & Yamagishi, Kafferine & Selerio, Egberto, 2023. "Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    16. Muhammad Akram & Maham Arshad, 2019. "A Novel Trapezoidal Bipolar Fuzzy TOPSIS Method for Group Decision-Making," Group Decision and Negotiation, Springer, vol. 28(3), pages 565-584, June.
    17. 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.
    18. Che Mohd Imran Che Taib & Binyamin Yusoff & Mohd Lazim Abdullah & Abdul Fatah Wahab, 2016. "Conflicting Bifuzzy Multi-attribute Group Decision Making Model with Application to Flood Control Project," Group Decision and Negotiation, Springer, vol. 25(1), pages 157-180, January.
    19. Liu, Bingsheng & Shen, Yinghua & Zhang, Wei & Chen, Xiaohong & Wang, Xueqing, 2015. "An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making," European Journal of Operational Research, Elsevier, vol. 245(1), pages 209-225.
    20. Mohamed Hanine & Omar Boutkhoum & Fatima El Barakaz & Mohamed Lachgar & Noureddine Assad & Furqan Rustam & Imran Ashraf, 2021. "An Intuitionistic Fuzzy Approach for Smart City Development Evaluation for Developing Countries: Moroccan Context," Mathematics, MDPI, vol. 9(21), pages 1-22, October.

    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:spr:fuzinf:v:5:y:2013:i:2:d:10.1007_s12543-013-0137-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.