مولفه اصلی

Open Access Article

1 - Estimating the Segment-Oriented Discrete-Choice Model of Customer Differentiation
M. A. Abdolvand J. Nazemi H. A. Momeni

In product choice models, incorporating socio-demographic characteristics is conceptually appealingand has numerous managerial benefits. The main question is how socio-demographic characteristicsdifferentiate customers or products in order to define relevant marketing s More

In product choice models, incorporating socio-demographic characteristics is conceptually appealingand has numerous managerial benefits. The main question is how socio-demographic characteristicsdifferentiate customers or products in order to define relevant marketing strategies. Traditionally,discrete choice models, also called the consolidated approach, have been used to understand, describe,and predict consumer choices for a particular product . In this study, a segment-oriented approach isintroduced and compared with the consolidated approach. The proposed methodology uses principalcomponent analysis to segment the population into different groups. The results indicate that principalcomponent analysis is a robust method and outperforms the consolidated approach in terms of choicepredictability and R-square index. These findings bring new insight to manufacturers as well asmarketers regarding customer policies targeting . Manuscript profile

Open Access Article

2 - Estimating Segment - Oriented Discrete - Choice Model of Customer Differentiation (Buyers Preferences of Saipa Products as a Case Study)
M. A. Abdolvand J. Nazemi H. Ali Momeni

In product choice models, incorporating socio-demographic characteristics is conceptually appealing and has numerous managerial benefits. The main question is how socio-demographic characteristics differentiate customers or products in order to define relevant marketing More

In product choice models, incorporating socio-demographic characteristics is conceptually appealing and has numerous managerial benefits. The main question is how socio-demographic characteristics differentiate customers or products in order to define relevant marketing mix strategies or what a disaggregated analysis reveals about the customer's profile of company products. Traditionally econometrician and marketers apply discrete choice models into a total population or a sample of consumers (naming as consolidated approach) in order to understand, describe, and predict consumer choices for a particular product and assess socio-demographic variation on the utility functions and subsequently analyse the difference between segments behaviour in order to identify differences between target consumers. The Multinomial Logit model developed based on data obtained from new car buyers of SAIPA automotive company and final model including all significant variables and their estimated parameters on utility functions of all products presented. In this study, a segment-oriented approach is introduced and compared with the consolidated approach. The proposed methodology using principal component analysis to segment the population (or sample) into different groups so as the results indicate principal component analysis is a robust method in order to reach to differentiated segments among population as expected and finally the result is compared with consolidated approach which indicates the segmented approach outperforms the consolidated approach in terms of choice predictability and R-square index of the model. The results bring a new insight to car manufacturers as well as marketing planners concerning policy setting about customer characterizing and targeting that affects marketing mix strategies. Manuscript profile

Open Access Article

3 - Offering a model for persian texts classify by combination of classification methods
iman jamali Seyed Javad Mirabedini علی Harounabadi

To classify text information extraction techniques, natural language processing and machine learning has been widely used general purpose of categories of documents, classified documents in the form of a certain number of categories are pre-determined. Each document can More

To classify text information extraction techniques, natural language processing and machine learning has been widely used general purpose of categories of documents, classified documents in the form of a certain number of categories are pre-determined. Each document can be in one, several or no category is placed. In the case of any document to this question will be placed the document on which of the categories. This can be in the form of an automatic learning to use it any document can be automatically assigned to a category.     In this thesis, data collection and cleanup after you select text using the normal method of word frequency -inverse document frequency (norm TF-IDF) is the weight features and features in two stages using document frequency (DF) and Chi square (SChi) are selected, and then using principal component analysis (PCA) features reduced dimensions, and at a later stage by combining 21 support vector machine (SVM) the proposed model we have implemented, and the accuracy of the model to assess the 10-step method validation. Experimental results show that this model can text classification accuracy of 91.86 for the seven categories do, which has a higher accuracy than the earlier work done. Manuscript profile

Open Access Article

4 - Detection of carbonate formations in khaeez Anticlinebehbahan with PCA techniques and crosta method using ETM+ satellite images
Hadi Tahmasebi Nejad Mahdi Momi pour

Detection of carbonate formations, especially in area located next to clay formations is essential. Becausethe data set to estimate mining stocks and determinate of exploration programs are necessary. In thisstudy, for detection of carbonate formations and their separat More

Detection of carbonate formations, especially in area located next to clay formations is essential. Becausethe data set to estimate mining stocks and determinate of exploration programs are necessary. In thisstudy, for detection of carbonate formations and their separation from clay formations, Imageclassification and principle component analysis (PCA) and Crosta techniques the help of ETM+ satelliteimages of Landsat 7 is used. For this purpose, several psedo-color composition of the Khaeez anticline ofBehbahan city located in geological zone of Zagross, has been created in ENVI software. Forclassification of satellite images of case study, maximum similarity method was used. Then, selecting aseries of known sample pixels and comparing their class with classification results and calculating Kappacoefficients, classification results were evaluated. These results indicate classification accuracy ofCarbonate formations is medium that may be a result of vegetation cover on these formations. Manuscript profile

Open Access Article

5 - الگوهای جوی تداوم بارش های غرب ایران
شیدا منصوری رضا دوستان

الگوهای جوی تداوم بارش های غرب ایرانبر مبنای 268 تداوم دو روزه و 162 تداوم سه روزه و بیشتر باروش تحلیل مولفه اصلی و خوشه بندیباداده ارتفاع ژئوپتانسیل متر تراز 500 هکتوپاسکال از مرکز ملی پیش بینی محیطی و تحقیقات جویدر دوره 1961-2010 تعیین گردید.چنانکهدر تداوم دوروزه بارش More

الگوهای جوی تداوم بارش های غرب ایرانبر مبنای 268 تداوم دو روزه و 162 تداوم سه روزه و بیشتر باروش تحلیل مولفه اصلی و خوشه بندیباداده ارتفاع ژئوپتانسیل متر تراز 500 هکتوپاسکال از مرکز ملی پیش بینی محیطی و تحقیقات جویدر دوره 1961-2010 تعیین گردید.چنانکهدر تداوم دوروزه بارش، حرکت نصف النهاری بادهای غربی در خاورمیانه جدای از آرایش مداری بادهای غربی درعرض میانی غالب است.،اما آرایش نصف النهاری یکدست بادهای غربی از عرض بالا تا دریای سرخ، وقوع سردچال آناتولی و عمیق تر شدن فرود شرق مدیترانه در سطوح میانی جو، همراه با ترکیب دو پرفشار سیبری و جنوب اروپا تا شمال آفریقا در دو طرف کم فشارهای مدیترانه شرقی و سودان در سطح زمین، شکل گیری سیکلون های قوی تر و تداوم بیشتر بارش های غرب ایرانرا موجب میگردند.چنانکه در الگوهای جوی،جریانات مرطوب با جهت جنوب و جنوب غربی با موقعیت واچرخند غالب در عمان و چرخند های مدیترانه شرقیو غرب ایران، با گذر از جلگه عراق و خوزستان بر ارتفاعات بلند زاگرس صعود و بیشترین ریزش ها مداوم را در غرب ایران به همراه دارند. Manuscript profile

Open Access Article

6 - The selection of top genotypes in forage corn using multivariate methods in Varamin region
seyed mohammadreza ehtashami mahdi ramezani matin frouzi

In order to investigate the various morphologic and physiologic characteristics of forage corn genotypes, an experiment carried out at Agricultural and Natural Resource Research Center of Tehran province during 2009-2010 growing season. Twenty genotypes of forage corn w More

In order to investigate the various morphologic and physiologic characteristics of forage corn genotypes, an experiment carried out at Agricultural and Natural Resource Research Center of Tehran province during 2009-2010 growing season. Twenty genotypes of forage corn were compared with based on Randomized Complete Blocks Design with four replications. Studied traits were growth period, number of leaf, plant height, stem diameter, fresh and dry weight of leaf, fresh and dry weight of stem, fresh and dry weight of sheath, fresh and dry weight of ear as well as fresh and dry forage yield and  its quality. Results showed significant difference in 1% level for all of traits except length of growth period. The results of factor analysis using principal component analysis after varimax rotation showed that there are four main factors including forage quality (28.78%), forage yield (19.96%), morphologic characteristics (12.18%) and physiologic characteristics (12.13%) explained totally 73.05% changes of variance. Based on the bi-plot of the first and second principal components, genotypes No. 2, 17, 4 and 12 identified as top cultivars. The result of cluster analysis in two ways of Ward and Average distance was suggested to separate all of cultivars in three distinct clusters.   Manuscript profile

Open Access Article

7 - Genetic variation and inter-relationship between morphological characteristics and grain yield in advanced bread wheat (Triticum aestivum L.) cultivars using multivariate analysis
Mina Sarabi alireza tarinejad varahram rashidi rahim alimohammadi

Genetic diversity of 30 varieties of advanced bread wheat (Triticum aestivum L.) was studied. A field experiment was conducted using a randomized complete block design with four replications at the Research Farm of Islamic Azad University, Miyaneh Branch in 2009. All ag More

Genetic diversity of 30 varieties of advanced bread wheat (Triticum aestivum L.) was studied. A field experiment was conducted using a randomized complete block design with four replications at the Research Farm of Islamic Azad University, Miyaneh Branch in 2009. All agronomic practices were carried out by current procedure. Nineteen traits included days to germination, stem elongation, heading, physiologic maturity, ripening, awn length, leaf number main stem, flag leaf area, penultimate flag leaf area, plant height, peduncle length, number of spike/m2, grain numbers/spike, 1000 grains weight, biologic yield, harvest index, grain filling period, straw yield and grain yield were measured. Data were analyzed using multivariate techniques like principle components, stepwise regression and cluster approaches. Principal components analysis showed that first and second components could explain a 75.51% of total variations. Based on the characteristics in the first and second components, first components were considered for yield and the second one for phonology traits. Stepwise regression analysis for grain yield as a dependant variable and other characters as independents revealed that grain number/ spike, spike/ m2, plant height and main spike length could explain 98.7% of the variations. Finally, examined variety were grouped in three clusters and the third cluster contained 23.3% of total variations which presented higher grain yield than the first and second groups. According to the results obtained in this study, N-76-16 line could be introduced as a high-performance genotype and would have advantages in the breeding programs. Manuscript profile

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