IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i8d10.1007_s11269-024-03799-8.html
   My bibliography  Save this article

Relevance of Intuitionistic Fuzzy Optimization Approach in Planning of a Multi–Objective Water Resource System

Author

Listed:
  • Sangita Pawar

    (Matoshri College of Engineering and Research Centre)

  • Premlal Patel

    (Sardar Vallabhbhai National Institute of Technology)

  • Ashwini B. Mirajkar

    (Visvesvaraya National Institute of Technology)

Abstract

Intuitionistic Fuzzy Optimization (IFO) approach is one of the scientific approaches to the planning of multi–purpose water resource systems. The water resources reservoirs invariably need to meet the objectives, namely, maximization of net irrigation benefits (NIB), maximization of employment (EG), minimization of cultivation cost (CC), and maximization of revenue generation on account of industrial and municipal supplies (MI). In the current study, Intuitionistic Fuzzy Optimization Multi–objective fuzzy linear programming (IFO MOFLP) model and its variants are developed for solving the aforesaid four conflicting objectives with relevant constraints of the system. The performance of the recommended IFO MOFLP model is compared with the MOFLP model (Average operator Case–I) developed by Mirajkar and Patel (J Water Resour Plan Manag 142(11):1–16, 2016) with reference to uncertainty parameters like degree of acceptance (α), rejection (β), and hesitation index (π) and values of objective functions. The sensitivity of the uncertainty parameters is also quantified with reference to the scaling factor of the IFO MOFLP approach. The significance of the proposed model has been highlighted by comparing the simulated cropping pattern and objective functions of the model with the actual cropping pattern used in the command area for the same inflow condition in the reservoir. The suggested model with new parameters like α, β, and π, would assist decision– makers in applying the same to real–world problems with greater certainty.

Suggested Citation

  • Sangita Pawar & Premlal Patel & Ashwini B. Mirajkar, 2024. "Relevance of Intuitionistic Fuzzy Optimization Approach in Planning of a Multi–Objective Water Resource System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(8), pages 2935-2959, June.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:8:d:10.1007_s11269-024-03799-8
    DOI: 10.1007/s11269-024-03799-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-03799-8
    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/s11269-024-03799-8?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.

    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:waterr:v:38:y:2024:i:8:d:10.1007_s11269-024-03799-8. 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.