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        1 - Proposing an Information Retrieval Model Using Interval Numbers
        Hooman Tahayori farzad ghahremani
        Recent expansions of web demands for more capable information retrieval systems that more accurately address the users' information needs. Weighting the words and terms in documents plays an important role in any information retrieval system. Various methods for weighti More
        Recent expansions of web demands for more capable information retrieval systems that more accurately address the users' information needs. Weighting the words and terms in documents plays an important role in any information retrieval system. Various methods for weighting the words are proposed, however, it is not straightforward to assert which one is more effective than the others. In this paper, we have proposed a method that calculates the weights of the terms in documents and queries as interval numbers. The interval numbers are derived by aggregating the crisp weights that are calculated by exploiting the existing weighting methods. The proposed method, calculates an interval number as the overall relevancy of each document with the given query. We have discussed three approaches for ranking the interval relevancy numbers. In the experiments we have conducted on Cranfield and Medline datasets, we have studied the effects of weight normalization, use of variations of term and document frequency and have shown that appropriate selection of basic term weighting methods in conjunction with their aggregation into an interval number would considerably improve the information retrieval performance. Through appropriate selection of basic weighting methods we have reached the MAP of 0.43323 and 0.54580 on the datasets, respectively. Obtained results show that he proposed method, outperforms the use of any single basic weighting method and other existing complicated weighting methods. Manuscript profile
      • Open Access Article

        2 - A comprehensive map and prioritization of the provinces producing medicinal plants in the country based on the indicators of the physical advantage of production
        darab yazdani majid shahriari
        Determining the relative advantage of agricultural products in different regions is one of the important dimensions of agricultural policy and planning, based on which the appropriate pattern of production and cultivation can be achieved in different regions according t More
        Determining the relative advantage of agricultural products in different regions is one of the important dimensions of agricultural policy and planning, based on which the appropriate pattern of production and cultivation can be achieved in different regions according to the conditions in each region. The current research aims to prioritize the provinces that produce medicinal plants in the country based on the indicators of the physical advantage of production (advantage of scale, efficiency advantage and collective advantage) and their fluctuation coefficient during the period of 2011-2018 using the numerical taxonomy method. The results showed that during a period of 18 years, South Khorasan, Jiroft and Razavi Khorasan provinces had the highest average scale advantage index (SAI) and the highest average efficiency advantage (EAI) was also in Alborz, West Azarbaijan and Lorestan provinces with 13/67 respectively. , 6/47 and 6/19 were obtained. According to the results of collective advantage (AAI), the provinces of Hamadan, Semnan and Sistan and Baluchistan have the lowest fluctuation coefficient of collective index with 0.26, 0.28 and 0.33 and the provinces of Alborz, Jiroft and Sistan and Baluchistan with 31.40 respectively. 2.3 and 1.65 had the highest average collective advantage among all the provinces of the country. Finally, in order to summarize, using GIS software, a comprehensivemap of the country for medicinal plants was drawn based on the indicators of physical advantage. Manuscript profile