Classification of water quality using interval TOPSIS method
Sudipta Roy (),
Debabrata Datta () and
Sandip Chatterjee ()
Additional contact information
Sudipta Roy: The Heritage Academy
Debabrata Datta: Heritage Institute of Technology
Sandip Chatterjee: Heritage Institute of Technology
OPSEARCH, 2024, vol. 61, issue 4, No 9, 1927-1947
Abstract:
Abstract In this paper, Multi-Criteria Decision Making (MCDM) approach called Interval-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) has been introduced to assess the effectiveness of choice alternatives based on a number of criteria. It modifies the conventional TOPSIS approach to handle interval-valued data, which conveys that the criterion values are expressed as range instead of single numbers. Relative closeness coefficients have been determined in this present approach. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process. In this paper, the best water quality among 5 sets of water has been found, using the proposed Interval-TOPSIS approach and then the results are compared to conventional TOPSIS and SAW approach.
Keywords: Interval-TOPSIS; Analytic hierarchy process; Simple additive weighting; Water quality index (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12597-024-00762-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:opsear:v:61:y:2024:i:4:d:10.1007_s12597-024-00762-4
Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597
DOI: 10.1007/s12597-024-00762-4
Access Statistics for this article
OPSEARCH is currently edited by Birendra Mandal
More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().