Assessment and prioritization of agricultural marketing challenges using Fuzzy Analytical Network Process (case study: the central rural city Poldokhtar)

Poldokhtar an agricultural city that most people live in rural areas. This sector is the largest source of jobs in the region That depends largely on its income and welfare of rural households. However, marketing of products in rural areas low level. Products marketing is considered one of the most important indicators of rural development to improve the economic life of the villagers will be followed. The purpose this study was to investigate the problems of farmers in the marketing of rural products. The purpose of the present study, functional and perform the composition (qualitative and quantitative) is. The data gathering tool and information on questionnaires were experts. The statistical population consisted of agricultural specialists and marketing management Poldokhtar city's the central part of, which purposive sampling was elected 30 experts to conduct of paired comparisons. Products marketing obstacles and challenges rural agriculture by using expert opinion and marketing management of the central city Poldokhtar in five main categories, physical, cultural, financial, market structure and development barriers and obstacles were under twenty-five. For identify these barriers also to quantify relationships between weight and importance of the Analytic Network Process(FANP) be fuzzy. Results obtained of the proposed model indicate that among five main obstacle marketing of agricultural production, the most important barriers respectively related to lack of physical infrastructure (0/316), cultural barriers (0/217) and lack of resources financial (0/174) and in the following obstacles respectively related to lack of processing and packaging industries, farmers and middlemen and speculators is a lack of awareness. So in order to decline in barriers to agricultural marketing by authorities and relevant agencies, should additional support in this regard That the most important agro industries in this region.