IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-35668-1_29.html
   My bibliography  Save this book chapter

A Study of an EOQ Model Under Triangular Cloudy Fuzzy Neutrosophic Demand Rate

In: Fuzzy Optimization, Decision-making and Operations Research

Author

Listed:
  • Sujit Kumar De

    (Midnapore College (Autonomous), Department of Mathematics)

  • Sanchita Mahato

    (Midnapore College (Autonomous), Department of Mathematics)

Abstract

This chapter is all about a very new approach of developing a general EOQ Model where demand rate is considered as a Triangular Cloudy Fuzzy Neutrosophic (TCFN) set. In this chapter, we first define the various membership functions/grades of the components of a TCFN set and fuzzify the model. Then we find the ultimate score value of the neutrosophic fuzzy elements when the components are dependent on each other associated with standard and nonstandard fuzzy set. Then we defuzzify the model to get the equivalent classical problem of the neutrosophic model and we find the solution using nonlinear optimization procedure. Then we show a clear comparison of results of different models like Crisp, general fuzzy, and TCFN through a table for proper understanding. At the end of the whole study, we came to the conclusion that considering TCFN environment for solving any inventory problem is very appropriate and realistic for a decision maker in progression of a business. Also, for proper justification of new fuzzy approach, sensitivity analysis and graphical illustrations are made.

Suggested Citation

  • Sujit Kumar De & Sanchita Mahato, 2023. "A Study of an EOQ Model Under Triangular Cloudy Fuzzy Neutrosophic Demand Rate," Springer Books, in: Chiranjibe Jana & Madhumangal Pal & Ghulam Muhiuddin & Peide Liu (ed.), Fuzzy Optimization, Decision-making and Operations Research, chapter 0, pages 659-677, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-35668-1_29
    DOI: 10.1007/978-3-031-35668-1_29
    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:978-3-031-35668-1_29. 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.