Title: An application of fuzzy inference system to marine fish landings for west coast of Malaysia

Authors: Isa Adekunle Hamid-Mosaku; Mohd Razali Mahmud; Mohd Safie Mohd

Addresses: Department of Surveying and Geoinformatics, Faculty of Engineering, University of Lagos, Lagos, Nigeria ' Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor, Malaysia ' Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia (UTM), Johor Bahru, Johor, Malaysia

Abstract: Malaysia marine fishery sector and its activities are prominent in Malaysia waters, contributing to the nation's gross domestic product (GDP) and providing sustenance and protein. Among these activities are the landings of different fisheries resources from different landing districts, collated on states level, and officially reported annually. However, contributions of these landings to GDP are not adequately reported; moreover, fuzzy terms used in some cases were not evenly represented. Therefore, in the context of marine geospatial data infrastructure (MGDI) decisions, these constitute fuzzy decision problems resulting from stakeholders' subjectivity and uncertainties. In this paper therefore, evaluations of reported landings from 2006-2010 for western coast of Malaysia were investigated using fuzzy inference system. Categorisation of these contributions to GDP appropriately analysed to assist stakeholders in making informed decisions. Additionally, this novel approach is yet to be reported in literature to cases of fisheries landings and GDP across Asia and beyond.

Keywords: Malaysia waters; marine fishery sector; gross domestic product; GDP; marine fishery landings; artificial intelligence; fuzzy logic; fuzzy inference system; FIS; fuzzy decision problems; marine geospatial data infrastructure; MGDI decisions; marine environment; coastal zones; Malaysia Department of Fisheries.

DOI: 10.1504/IJIDS.2017.088106

International Journal of Information and Decision Sciences, 2017 Vol.9 No.4, pp.369 - 386

Received: 09 Jul 2015
Accepted: 19 Nov 2015
Published online: 24 Nov 2017 *

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