vix.ing · top · new · best · stats · spec

Decision Support Systems in Fisheries and Aquaculture: A systematic\n review

2016/11/25 by Bjørn Magnus Mathisen, Mathisen, Bjørn Magnus, Peter Halland Haro +7 · 1 citation
Business, Management and Accounting · Environmental Science · #Artificial Intelligence (cs.AI) #Big Data and Business Intelligence #FOS: Computer and information sciences #Marine and fisheries research

paper · pdf · doi:10.48550/arxiv.1611.08374

openalex publication_date 2016/11/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Decision support systems help decision makers make better decisions in the\nface of complex decision problems (e.g. investment or policy decisions).\nFisheries and Aquaculture is a domain where decision makers face such decisions\nsince they involve factors from many different scientific fields. No systematic\noverview of literature describing decision support systems and their\napplication in fisheries and aquaculture has been conducted. This paper\nsummarizes scientific literature that describes decision support systems\napplied to the domain of Fisheries and Aquaculture. We use an established\nsystematic mapping survey method to conduct our literature mapping. Our\nresearch questions are: What decision support systems for fisheries and\naquaculture exists? What are the most investigated fishery and aquaculture\ndecision support systems topics and how have these changed over time? Do any\ncurrent DSS for fisheries provide real- time analytics? Do DSSes in Fisheries\nand Aquaculture build their models using machine learning done on captured and\ngrounded data? The paper then detail how we employ the systematic mapping\nmethod in answering these questions. This results in 27 papers being identified\nas relevant and gives an exposition on the primary methods concluded in the\nstudy for designing a decision support system. We provide an analysis of the\nresearch done in the studies collected. We discovered that most literature does\nnot consider multiple aspects for multiple stakeholders in their work. In\naddition we observed that little or no work has been done with real-time\nanalysis in these decision support systems.\n

Cited by

Related