A GIS-based Fuzzy Multi-Criteria Analysis Approach to Industrial Site Selection
Date
2019-03-20
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Engineering and Economics in Rzeszow
Abstract
The paper proposes a methodology for fuzzy
multi-criteria analysis of decisions in a raster-based
geographical information system (GIS) to determine the optimal
locations for territorial objects. Recommendations about the
stages of choosing alternatives for spatial and non-spatial
constraints are given. It is shown that the fuzzyfication of
criteria, that is, the conversion of their attribute values into a
fuzzy set, based on expert evaluation of a fuzzy membership
function, allows screening alternatives by determining
thresholds of alpha-cut of fuzzy sets for each criterion, followed
by combining criteria attributes using aggregation operators:
minimum, maximum, weighted sum, OWA operator Jager.
Adding to the procedure of multicriteria analysis of the
additional stage of filtration of alternatives gives the opportunity
to reduce the number of alternatives, and in the future and the
processing time of the criteria layers by aggregator operators.
The proposed algorithm for screening alternatives can be
performed in a GIS environment using Fuzzy Membership,
Overlay and raster calculators tools.
Description
Keywords
geographic information systems, multiplecriteria decision analysis, fuzzy set theory, alpha-cut, site selection
Citation
Buchynska I. A GIS-based Fuzzy Multi-Criteria Analysis Approach to Industrial Site Selection / I. Buchynska // Econtechmod. — Lviv : University of Engineering and Economics in Rzeszow, 2019. — Vol 8. — No 3. — P. 15–20.