Wen, M.L. and Iwamura, K. (2007) Facility Location-Allocation Problem in Random Fuzzy Environment: Using (α, β)-Cost Minimization Model under the Hurewicz Criterion. Computers & Mathematics with Applications, 55, 704-713.
http://dx.doi.org/10.1016/j.camwa.2007.03.026

has been cited by the following article:

• TITLE: Location-Allocation in the Two Conditions of Candidate and Non-Candidate Places with Fuzzy Relations between Facilities Using Euclidean Square Method

  AUTHORS: Nasim Rad, Mohammadreza Razdar, Roghayyeh Heidarizadeh, Abolfazl Mirzazadeh

  KEYWORDS: Location Allocation, Fuzzy Logic, Triangular Fuzzy Numbers, Euclidean Square

  JOURNAL NAME: Applied Mathematics, Vol.6 No.11, October 29, 2015

  ABSTRACT: Nowadays, identification, ranking criteria and location of services are important in the planning and designing of city. In fact, it helps the authorities and managers make better decisions in selecting the best locations to establish urban service centers. The issue of access to urban services is kind of important issue that affects various dimensions of the city. Laboratory service is an example of this kind that the necessity of access to them is crucial for everyone. Decision making to locate the lab is not only necessary in terms of services and costs to users but also, it is essential in the development of city and the spatial distribution pattern of demand. In this paper, the goal was to determine laboratories location using Euclidean square and fuzzy logic, by two different methods to examine and desirable locations for future planning. Also, selected locations for laboratories are significant considering the improvement of service and reducing the cost and time of access to public.