جستجوی مقالات مرتبط با کلیدواژه "multi-criteria decision making" در نشریات گروه "اقتصاد کشاورزی"

Estahban’s dried fig is one of the most important export products in the agricultural sector and the best type of dried fig in the world. Surveys indicate that most fig exporters have weaknesses in international marketing, positioning and maintaining it, and they generally use the unsystematic method in international market selection. Meanwhile, choosing the right market is one of the primary factors of success and growth of companies in global markets, which requires the use of different criteria and the use of systematic methods in their analysis. Therefore, the purpose of this study was to identify and prioritize market selection criteria for large and small companies that export Estahban’s dried figs. For this purpose, 40 criteria and sub-criteria for the selection of international dried fig markets were identified and prioritized using the fuzzy hierarchical analysis method. The required information at this stage was collected by completing 17 questionnaires from large and small trading companies of Estehban’s dried figs. The results of the research showed that large and small companies have different subjective preferences for each of the model indicators. Also, the highest priority among the examined criteria in large commercial companies is given to economic factors and in small commercial companies to market potential.

The adaptation of the same water resources management policies in a plain or watershed due to the heterogeneity of its areas generally leads to a reduction in the effectiveness of policies. Hence, the evaluation of the adaptability of different areas of the study area with water resources protection policies can be important and necessary.The aim of the current study is to evaluate the adaptability of rural districts of Neyshabour plain to groundwater protection policies. To achieve this goal, in the first step, economic, demographic, environmental, educational, and cultural, as well as communication criteria and sub-criteria are selected, and then the weights of the criteria and sub-criteria are determined using Fuzzy AHP. Then, the status of each of the rural districts in the Neyshabour plain based on the studied index is determined using a multi-criteria decision-making method (PROMETHEE) in 2017. The results show that economic and environmenral ctritera with weights of 40 and 19%, respectively, are of higher importance compared to other criteria in the adaptability index. According to the results of this study, three the rural districts of Ardoghsh, Mazol, and Zeberkhan have a higher adaptability to groundwater protection policies than other the rural districts of plain, and the rural districts of Ghazali, Eshghabad, and Belherat are in the final ranks. In order to increase the cooperation of farmers in the southern and western rural districts of the plain with groundwater conservation programs, it is suggested to use appropriate training and incentive policies as complementary policies in these areas.

Some organizations due to the challenges of the present age and the impact of Research and Development projects on the continuity of them, invest in these projects. The purpose of this study is selecting the optimal portfolio of agricultural Research and Development projects in Fars Agricultural and Natural Resources Research and Education Center. The research is applicable from the purpose aspect and is descriptive-survey method based on essence. By studying the literature and interviewing with experts, project evaluation attributes were identified and 16 projects were evaluated by experts. The attributes weight was calculated by the grey Shannon entropy method that "time risk", "technical backup existence" and "risk execution" are the most important attributes. Then projects were prioritized with the grey theory approach. In order to validate the model results, the projects were evaluated with COPRAS-G method which was seen by comparing results, the rank of projects is not identical in all cases. Therefore, by using the Copeland method, the ranks were combined and the final rank of each project was calculated. According to the results, the total budget was allocated to higher priority projects and the optimal project portfolio was determined. The results of this study can be used to prioritize the projects and to form optimal portfolio in project-oriented organizations such as scientific and research centers.

The proper combination of different land use patterns is one of the important factors in maintaining and sustaining water and soil resources, especially in basin areas. Considering economic, social and environmental criteria, this study aimed at investigating the optimal and sustainable land uses in Hablehroud Basin in Tehran and Semnan provinces of Iran. Thus, the SWAT as a model and the PROMETHEE and ELECTRE models as two samples of the multi-attribute decision making method were employed. Data for calculating the environmental criteria such as temperature, rain, humidity and evaporation were collected during 26 years and those for the economic and social criteria such as production cost, gross income and employment were collected in 2017. The study results indicated that the horticulture use of land in the south areas of the basin had the first rank and the pasture use of land in the north had the last rank both in terms of socio-economic and environmental criteria. Also, comparing the socio-economic criteria with the environmental ones, opposite ranks were observed for horticulture land use in the north and pasture land use in the south areas. Therefore, based on the results, some recommendations were made to improve the current land use situations as well as to develop the land use patterns in the studied basin.

Increasing competition, product diversity, and raising public awareness have driven consumer demand into fundamental changes. Thus, maintaining and expanding the current market require the discovery of demands and the satisfaction of customers through the creation of necessary changes in the production system, quality, marketing and sales of products. Therefore, this study aimed at ranking seven dairy companies through the elements of marketing mix, based on customer satisfaction in Tabriz County of Iran. For this purpose, a combined method of DEMATEL-ANP multi-criteria decision-making was used to prioritize the concerned companies. The results showed that "product" was the most important criterion in providing customers with relative satisfaction; and price, place and promotion criteria were in the next priorities. It was also concluded that Pegah Dairy Company was ranked the first in providing dairy consumer satisfaction. Dairy companies of Kaleh and Mihan were ranked the second and third respectively, and Ramak, Kohsaran, Sutich and Pak companies were ranked next in terms of satisfying the customers' satisfaction with dairy products.