Segmenting the Tourist Shopping Centers of Mashhad through Using a Hybrid Algorithm of Genetic and Fuzzy C-Mean

Tourism system of any location consists of segments, parts and complicated elements which are mutuallyconnected and have network, hierarchy, structure and application in a competitive market. In this regard, Mashhad, as a religious and tourism hub in Iran hosts millions of domestic and international pilgrims to the shrine of Imam Reza annually. Besides visiting its holy shrine, the pilgrims come to this city for medical, recreational and commercial affairs. Mashhad as religious and economic metro police has numerous shopping centers for tourists. The current study has a systematic view toward tourism, and touristsinterest shopping centers. It also aims to study this from a fuzzy c-mean and Genetic algorithm viewpoints which result in 4clusters named traditional, modern, famous and recreational-commercial centers. In order to investigate the significant difference between the two clustering methods, MANNOVA is used in order to show the significant difference between the two methods.