K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following approaches: (a) Using the mean and variance of item ratings as item features to find similar items in an item-wise KRS (IKRS); (b) Using the mean and variance of user ratings as user features to find similar users with a user-wise KRS (UKRS); (c) Using the weighted mean to integrate the ratings of neighboring users/items; (d) Using ensemble learning. Three proposed methods EVMBR, EWVMBR and EWVMBR-G are presented in this paper. All three methods are user-based, in which VM distance is used as a measure of the difference between users / items, to find neighboring users / items, and then the weighted average is weighted, respectively. Also, weights based on the Gaussian combined covariance model are used to predict unknown user ratings. Our empirical evaluations show that the proposed method EVMBR, EWVMBR and EWVMBR-G, which utilizes ensemble learning, are the most accurate among the methods evaluated. Depending on the dataset, the proposed method EWVMBR-G managed to achieve 20 to 30 percent lower mean absolute error than the original MBR. In terms of runtime, the proposed methods are comparable to the MBR and much faster than the slope-one method and the cosine- or Pearson-based KNN recommenders.

Evaluation of information retrieval systems is one of the greatest challenges for information science specialists، because determining the performance of a system depends on judgment of the relevance of documents provided by the system to the user''s information needs، and it has its own complexities. New retrieval systems due to the dynamic nature of the Web are very different compared with traditional retrieval systems. Web information retrieval systems in terms of ranking results are divided into two groups: The ranked retrieval results and unranked retrieval sets. Each system has a different evaluation criteria and scales. In this paper، criteria for evaluating information retrieval systems is reviewed for the ranked retrieval results (including precision and recall curves، interpolated precision، the 11-point interpolated precision average، Mean Average Precision، precision at K، R-precision، ROC curve cumulative gain and normalized discounted cumulative gain)، and the unranked retrieval sets (including precision، recall، F-measure and accuracy) is introduced separately. Finally، alluding to the evaluation metrics، a scale of 4 degrees including best، useful، objective precision and then differential precision is introduced which can be used to evaluate the non-binary precision of web information retrieval systems.

Housing is one of the major needs. The use of new and new technologies to increase the speed of construction, improve quality, increase earthquake resistance, increase the useful life of buildings is more than ever before. In this paper, four building methods Including LSF, LCF, 3D-PANEL and PRCS, 12 criteria for timely delivery of credit, ease of implementation, need for expert workforce, availability of consumable materials, control and supervision in the process of implementation, useful life, cost, quality Maintenance, energy saving, reducing dead load, increasing floors, compliance with regulations that, from the point of view of contractors, employers, And project consultants. These criteria have been selected using the Delphi method from among the selected criteria, and the fuzzy and gray vikor method has been used to rank building methods, to collect information from seven companies The contractor, two consulting companies and a number of professors have been used to obtain information. Regarding the ranking differences of the methods of construction in both fuzzy and gray vikor methods, for the final ranking of the ranking method, which includes the mean rating method, the Breda method and the Copland method, was used. For the results obtained The best way to build PRCS is through the LSF and 3D-PANEL methods, and finally the ICF method.

Due to the fact that the rating of mutual funds creates an unbearable impact on the public interest in order to request the issuance or revocation of investment units, the proper assessment of the relevant ratings is very important. One of the factors that should be considered in ranking is attention to different risk assessment criteria. In this study, we used information from 112 investment funds in the period from April 2012 to March 2013 based on ten criteria including Sharp criterion criteria, Trainer criteria, Jensen alpha standard, M2 benchmark, AR criterion, Moderator trainer standard, Jsen Alfa standard adjustment The Omega benchmark, the Sortino benchmark and the UPR, the investment fund rankings have been made. Over the period, the Iranian capital market has experienced a sharp increase in both growth and decline and, as a result, The basis for the desired and undesirable risk criteria is the ability of a fund to flourish It also showed up during the recession. Attention to the favorable and undesirable risk over this period greatly increases the ability to rely on the results of the research and can add to the research's sustainability.

In this study with the purpose of assessing the status of urban walking vitality and with the survey research, Alam-al-Hoda pedestrian walkway of Rasht is studied. In this regard, the conceptual model of research with four criteria (land use and activity, physical, access and connection and environmental and climatic) and 16 indexes were considered. Then, these criteria are evaluated through questionnaires and by the Likert frame and the questionnaires are completed by 380 users of Alam-al-Hoda pedestrian walkway. Based on the analysis of questionnaires, about the land use and activity Criterion, the index of diversity of people activities in the pedestrian walkway with an average of 2.8 and in the physical Criterion, urban furniture with the average of 2.6 are gained the lowest average of each criteria. Also in the access and connection Criterion, the index of movement fluency on the streets around the pedestrian walkway with the average of 2.5 and in the climatic and environmental Criterion, climatic comfort with the average of 2 have the lowest levels of satisfaction in the people's thought. Then according to the swot table, Mini-Mini Strategy, Maxi – Maxi Strategy, Maxi – Mini Strategy and Mini – Maxi Strategy are presented and scoring and ranking of strategies are done with the AHP technique.

Because of the suitability of fuzzy numbers in representing uncertain values, ranking the fuzzy numbers has widely applications in different sciences. Many models are presented in field of ranking the fuzzy numbers that each one rank based on special criteria and features. The purpose of this paper is presenting a new method for ranking generalized fuzzy numbers based on some parameters such as membership degree, mean, standard deviation and parametric form of membership function. This paper introduce existing ranking models, comparing them the proposed model is presented. Considering special sets of fuzzy numbers, the advantages of proposed model is expressed. The main purpose of this paper is to present a reliable ranking method for generalized fuzzy numbers.

The main goal of this descriptive and inferential research is to present a green building evaluation system from the point of view of experts. In addition, a multi-criteria decision-making model using the Analytic Hierarchy Method (AHP) is used to evaluate and prioritize the criteria of green buildings. Also, using Wilcoxon and Friedman statistical inference, the importance of green building evaluation system criteria in Sabzevar city has been investigated. The method of work is as follows: first, the criteria of sustainable architecture were determined and the green building evaluation system was developed, and then the weight coefficient of each criterion was determined using Expert choice 11 software. Then 10 buildings from Sabzevar city were randomly selected and the importance of sustainability criteria in these buildings was determined using SPSS 16 software. The results of the paired comparisons of building sustainability criteria indicate that the water criterion with a weight of 0.2 (20%) is the most important among other criteria, followed by the technical quality criteria (weight 0.178). In relation to the investigation of sustainable architecture in Sabzevar city, the results of the Wilcoxon test show that the average of people's responses for most variables is close to the median value (0.625). Also, the results of the Friedman test show the ranking of the criteria so that the technical quality criterion with an average rating equal to 9.35 has won the first rank and the water criterion has obtained the last rank with an average rating equal to 2.10. Considering that from the point of view of the experts, the water standard is the most important, but from the point of view of the owners of the investigated buildings, water is ranked last, it is concluded that explaining and dealing with the water issue, especially in dry climates (such as Razavi Khorasan province) it is very necessary to pay attention to the problems that exist in this field.

Urban tourism is sightseeing in urban areas and the interaction of host tourists and the production of tourism atmosphere around travel to urban areas. Due to the fact that they have many historical and cultural attractions, urban areas are often important tourist destinations and as tourist destinations, they have a multi-purpose function. This research was carried out with the aim of identifying, analyzing and ranking the criteria affecting the development of urban tourism from the perspective of experts; the upcoming research is applied and descriptive-analytical in terms of its nature and method. Data collection is done in two ways, document and survey, after review, six farctors including policies and planning criteria, infrastructural factors, advertising and media, residential and welfare, economic and financial, cultural and social were extracted from the theoretical and background literature. The reliability of the questionnaire is based on Cronbach's alpha of 0.985 and the statistical sample size of the research is 50 people from tourism experts and the research area is ​​Shahrood city with an area of ​​51419 square kilometers. The six criteria of this research were ranked after the analysis, and the policy and planning criteria with the highest average rank were introduced as the first rank of the criteria and the transportation network index with the highest average rank was introduced as the first rank among the influential indicators in the development of Shahrood tourism. In the ranking of the following criteria, the transportation network index, family budget, and the index of good travel memories and trust were placed in the first to third ranks of the indicators influencing the development of sustainable urban tourism in Shahrood respectively with the highest average rating and finally, suggestions on the influencing indicators in urban tourism Presented.