IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-95-7545-9_4.html

Integrating Decision Science and Fuzzy Logic to Evaluate and Improve Water Quality: A Pathway to Operational Excellence in Environmental Management

In: Decision Sciences for Quality and Productivity Improvement

Author

Listed:
  • Ajoy Kanti Das

    (Tripura University, Department of Mathematics)

  • Nandini Gupta

    (Bir Bikram Memorial College, Department of Environmental Science)

  • Suman Das

    (NIT Agartala, Department of Education (ITEP))

  • Rakhal Das

    (The ICFAI University Tripura, Department of Mathematics)

  • Carlos Granados

    (Universidad de Antioquia, Estudiante de Doctorado en Matemáticas, Magister en Ciencias Matemáticas)

  • Suman Patra

    (Tripura University, Department of Mathematics)

Abstract

This chapter presents a comprehensive study using a Fuzzy Soft Expert System (FSES) to evaluate and improve water quality in the Manu River, Tripura, India, focusing on the anthropogenic influences over the period 2020–2021. By integrating decision sciences with fuzzy logic, the study captures complex interactions between various water quality parameters and human activities. Multi-criteria decision-making (MCDM) models are employed to analyze pre-monsoon, monsoon, and post-monsoon seasonal variations, offering a dynamic and robust approach to water quality management. The results provide insights into key water quality indicators, such as pH, dissolved oxygen, and biochemical oxygen demand, allowing for the development of strategies aimed at operational excellence in environmental management. These findings contribute to both academic research and practical applications, emphasizing how decision sciences can enhance the quality and productivity of water resource management systems. Furthermore, the approach highlights how fuzzy logic-based systems can support policy-making and operational decision-making, ensuring sustainable environmental practices and improved water quality standards.

Suggested Citation

  • Ajoy Kanti Das & Nandini Gupta & Suman Das & Rakhal Das & Carlos Granados & Suman Patra, 2026. "Integrating Decision Science and Fuzzy Logic to Evaluate and Improve Water Quality: A Pathway to Operational Excellence in Environmental Management," Springer Books, in: Indrajit Mukherjee & Raghu Nandan Sengupta & Bhaskar Basu & Jitendra Kumar Jha (ed.), Decision Sciences for Quality and Productivity Improvement, chapter 4, pages 77-109, Springer.
  • Handle: RePEc:spr:sprchp:978-981-95-7545-9_4
    DOI: 10.1007/978-981-95-7545-9_4
    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:978-981-95-7545-9_4. 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.