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Mathematical Problems in Engineering
Volume 2017, Article ID 2803461, 12 pages
Research Article

Model for Selection of the Best Location Based on Fuzzy AHP and Hurwitz Methods

1Faculty of Engineering, University of Kragujevac, Jovana Cvijića bb, 34000 Kragujevac, Serbia
2Public Company “Parking Servis Kragujevac”, Vojislava Kalanovica bb, 34000 Kragujevac, Serbia
3Faculty of Economics, University of Kragujevac, Djure Pucara Starog 3, 34000 Kragujevac, Serbia
4American University in the Emirates, Academic City, Dubai, UAE

Correspondence should be addressed to Aleksandar Aleksic;

Received 27 December 2016; Revised 20 May 2017; Accepted 25 July 2017; Published 24 September 2017

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2017 Slavko Arsovski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The problem of evaluation and selection of parking lots is a part of significant issues of public transport management in cities. As population expands as well as urban areas, solving the mentioned issues affects employees, security and safety of citizens, and quality of life in long-time period. The aim of this paper is to propose a multicriteria decision model which includes both quantitative and qualitative criteria, which may be of either benefit or cost type, to evaluate locations. The criteria values and the importance of criteria are either precise or linguistic expressions defined by trapezoidal fuzzy numbers. The human judgments of the relative importance of evaluation criteria and uncertain criteria values are often vague and cannot be expressed by exact precise values. The ranking of locations with respect to all criteria and their weights is performed for various degrees of pessimistic-optimistic index. The proposed model is tested through an illustrative example with real life data, where it shows the practical implications in public communal enterprises.