fuzzy logic is one of the concepts that has created different scientific attitudes by entering into various professional fields nowadays and in some cases has made remarkable effects on the results of the practical researches. however, the existence of stochastic and uncertain situations in risk and accident field, affects the possibility of the forecasting and preventing the occurrence of the ...

Set Partioning in Hierarchical Trees (SPIHT) algorithm is a significant improvement of Embedded Zero Tree Wavelet (EZW) algoritm. It is based on the zero tree structure of EZW algorithm uses the smallest mean square error criterion.The most important wavelet coefficients are first encoded. It has got a good compression performance. The work is particularly targeted towards wavelet image compres...

The air quality index (AQI) can be described using different pollutant indices. Many investigators study the effect of stock prices and in field to show if there is a relationship between changing market concentration various pollutants. This aims find Saudi Tadawul All Share Index (TASI) multiple pollutants, including particulate matter (PM10), ozone (O3), nitrogen dioxide (NO2), sulfur (SO2),...

One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...

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Recommender systems are usually regarded as an important marketing tool in the e-commerce. They use important information about users to facilitate accurate recommendation. The information includes user context such as location, time and interest for personalization of mobile users. We can easily collect information about location and time because mobile devices communicate with the base statio...

Problem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students using “Scale of student...

Birdwatching is one of the fastest growing sectors ecotourism. Managing this nature-based activity requires understanding birdwatchers’ attitudes and behaviour towards natural environment. This paper proposes assessing these link to behavioural intentions by combining New Environmental Paradigm (NEP) with a criterion-based segmentation method, chi-squared automatic interaction detector (CHAID)....

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...