Optimal Site for Aquaculture Farming: An Elimination Decision Approach

Authors

  • Lazim Abdullah Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Malaysia https://orcid.org/0000-0002-6646-4751
  • Noor A. Awang Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia https://orcid.org/0000-0003-3741-8673
  • Pui T. Liow Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Malaysia https://orcid.org/0000-0003-3438-7891
  • Wan R. Wan Mohd Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Malaysia

DOI:

https://doi.org/10.47852/bonviewJCCE2202295

Keywords:

aquaculture farming, decision-making, elimination method, water quality, optimal solution

Abstract

One of the most important factors in determining the location of aquaculture farming is water quality. The appropriate place with the best water quality must be identified in order to grow the finest quality of fish. However, choosing the best location for aquaculture farming cannot be done only based on one factor. Instead, a number of water quality aspects, such as pH and dissolved oxygen levels, should be considered during the selection process. Thus, this study employed the Elimination and Choice Translating Reality (ELECTRE) method to rank four potential locations for aquaculture farming with five considered criteria of water quality. Three decision-makers who are professionals in aquaculture farming are invited to evaluate the rationality of the locations based on the considered criteria of water quality using real numbered linguistic terms. The process entails eight computing steps. The findings show that location A4 outperforms the other three places, proving that the Marang River is the best location for aquaculture farming.

 

Received: 4 July 2022 | Revised: 23 August 2022 | Accepted: 6 September 2022

 

Conflicts of Interest

Lazim Abdullah is an editorial board member for Journal of Computational and Cognitive Engineering, and was not involved in the editorial review or the decision to publish this article. The authors declare that they have no conflicts of interest to this work.

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Published

2022-09-13

How to Cite

Abdullah, L., Awang, N. A., Liow, P. T., & Wan Mohd, W. R. (2022). Optimal Site for Aquaculture Farming: An Elimination Decision Approach. Journal of Computational and Cognitive Engineering, 2(2), 116–123. https://doi.org/10.47852/bonviewJCCE2202295

Issue

Section

Research Articles