Solving ATM Locating Problem Using Fuzzy Multi-Objective programming

Autor: Mohammad Hossein Kabgani, Hamid Shahbandarzadeh
Jazyk: perština
Rok vydání: 2017
Předmět:
Zdroj: Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, Vol 15, Iss 44, Pp 159-185 (2017)
ISSN: 2251-8029
Popis: This paper focused on locating ATMs problem. At first, this paper aims to identify effective factors in selecting ATMs appropriate locations. After selecting potential locations, optimal locations are determined through mathematical modeling. In this paper, effective factors to determine potential locations are weighted through Fuzzy AHP. Finally, linear allocation technique with multi-objective approach is used to determine ATMs locations at Bushehr city. After literature review, 46 effective factors are identified and then, based on experts' opinion are categorized in 6 groups of demographic, economic - social factors, competitive – commercial factors, public utility (infrastructure and proximity) factors, investment factors and political - legal factors. Results from Fuzzy AHP show that demographic factors are the most important factors among others. Final results show that each of these six categories, can have different effects on decision makers.
Databáze: OpenAIRE