Bulut bilişim teknoloji servis sağlayıcısı seçiminde entegre karar destek sistemi

Increasing competitive environment in businesses is shaping the way of Information Technology outsourcing. As a branch of IT, cloud computing technology is revolutionizing the IT industry in a promising way for delivering flexible and cheap computing resources via cloud platform. As a risky process of cloud computing technology service provider selection affects the existing capabilities of businesses and it must be well-organized. In literature, the evaluation of cloud computing technology especially systematically evaluated practices of cloud computing technology service provider selection remain limited. Service provider selection process requires a multi-criteria approach including the evaluation of both quantitative and qualitative factors. User experience, which presents an important part of this process, also needed to be included with decision makers' judgments. Therefore, this thesis study develops an integrated fuzzy multi criteria decision making (MCDM) approach based on fuzzy decision making trial and evaluation laboratory model (DEMATEL), fuzzy analytic network process (ANP) and fuzzy TOPSIS. After reviewing the literature in detail, cloud computing technology service provider evaluation criteria are determined and analysed with the guidance of expert evaluations using fuzzy DEMATEL to identify key criteria that will be used in a case study. Secondly, in lights of expert evaluations, fuzzy DEMATEL and fuzzy ANP methods are applied to calculate weights of the evaluation criteria and the most suitable company of cloud computing technology service provider is chosen with fuzzy TOPSIS method. Keywords: Cloud Computing Technology, Cloud Service Provider, Fuzzy DEMATEL, Fuzzy ANP, Fuzzy TOPSIS