IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-1989-2_13.html
   My bibliography  Save this book chapter

Application of Linear Programming in Diet Problem Under Pythagorean Fuzzy Environment

In: Pythagorean Fuzzy Sets

Author

Listed:
  • Sapan Kumar Das

    (Bhawan Annexe)

  • Seyyed Ahmad Edalatpanah

    (Ayandegan Institute of Higher Education, Department of Applied Mathematics)

Abstract

In this chapter, we present a novel strategy for solving linear programming (LP) problem under Pythagorean fuzzy (PF) and its application in Diet issue. LP is a part of optimization system which manages linear quantities, i.e., either constraints of linear equation type or inequalities type. In any case, when we consider the pragmatic circumstance, some of the data is unclear for the manager. At this point, LP will be unable to handle satisfactory results for decision-makers. Therefore, PF framework is one of the most proficient ways to deal with managing vulnerability and inadequate information. Maintaining this advantage, in this part we depict the PF arithmetic and scientific computation in PF condition. This proposed technique depends on score function and convert to its proportional crisp LP (CrLP) problem. To legitimize the proposed technique, some numerical tests are given to show the adequacy of the new model. Finally, some conclusion and future works are discussed.

Suggested Citation

  • Sapan Kumar Das & Seyyed Ahmad Edalatpanah, 2021. "Application of Linear Programming in Diet Problem Under Pythagorean Fuzzy Environment," Springer Books, in: Harish Garg (ed.), Pythagorean Fuzzy Sets, pages 315-327, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-1989-2_13
    DOI: 10.1007/978-981-16-1989-2_13
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:sprchp:978-981-16-1989-2_13. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.