جستجوی مقالات مرتبط با کلیدواژه « fuzzy analytic hierarchy process » در نشریات گروه « پزشکی »

Many indicators can be used in evaluating and comparing any software, but, currently there are no indicators to compare software applications that separate tumor tissue from healthy tissue in magnetic resonance imaging (MRI) of the brain. The aim of this study was to determine appropriate criteria for selecting a proper software for tumor diagnosis in brain MRI.

A qualitative applied research was designed and performed in 10 stages. Appropriate criteria for selecting the software were determined using Delphi technique and expert opinions (30 people). They were then weighted and prioritized.

In this study, a questionnaire was developed which was completed by Information Technology (IT) specialists and software engineers. We extracted 15 criteria, among which the "possibility of using the results in education" was the most agreed (93%) criterion and the "possibility of using software in medical environments" was the least agreed (47%) criterion. Also, these two criteria had the highest and lowest relative weights (0.1443 and 0.011, respectively).

: According to this study, IT specialists and software engineers believe that current software applications are more suitable for education and research than diagnosis and treatment. Therefore, they will categorize software applications according to their efficiency in research and education.

Construction industry is one of the riskiest industries all around the world and safety improvement in this industry is one of the main priorities in any country. A lot of researchers try to identify different factors that affect the safety. However, due to the large volume of high liquidity and volume of work in megaproject, identifying contributing factors to their safety is very important. So the main objective of this study was to identify and prioritize the factors affecting mega project in Iran.
In this study, by studying last researches, effective and different factors were identified. After that by using brainstorming session and Delphi, the most important parameters were chosen by experts. The hierarchical fuzzy method was used to prioritize the factors, therefore to weight the factors a total of 25 questionnaires were collected.
At last attitude of the workers to safety issues, safety training and safety culture were detected as the most important factors that affect the safety performance of megaproject in Iran.
Due to identify the roles and attitudes of workers as the most important parameter affecting the performance of and safety in mega project, its reflects the importance of the selection of workers before entering the construction site. Although we cannot forbear the role of safety training, the best choice next to safety training is the selection of workers with a positive attitude towards safety.

Since, energy consumption per square meter in hospitals is much higher than that of other types of service institutions, in this study, effort was made to define and prioritize energy consumption improvement projects in hospitals in order to take measures and optimize its.
The necessity of optimizing energy consumption in hospitals according to some scales including the average consumption and cost of water, electricity and gas for bed days and active bed were described, and calculated in the case. Then, improvement actions were identified using energy audit, interviews with hospital experts and conducted studies in hospitals. Also, projects with high importance were extracted regarding to impact on energy consumption indexes, expert opinion, aggregation, feasibility, and limitations such as prerequisite, synchronicity and post-requisite. Finally, specific criteria were identified in three dimensions, i.e., factors affecting the level of energy consumption, trying to execute project and risk and the projects were prioritized using questionnaire and FAHP.
The results showed that energy consumption in the studied hospital was higher than the world standards, this confirmed the necessity of optimizing energy consumption and using energy management systems. The results of prioritization also showed the first four priorities.
It seem necessary to use methods for saving energy consumption through the implementation of improvement projects in the hospitals. As the large number of such projects, as well as limited financial and capital resources, proposed method can be used by hospitals to select improvement projects with low risk and payback period.

In today's competitive environment, the performance evaluation of industries in developing countries, especially such industries as pharmaceutical industry besides its economic aspects, has a direct effect on the environmental conditions and the health of people of the society is as twice important.
The present study is applied in terms of purpose, regarding data collection, it is a library–based research and depending on the quantitative techniques, and according to the research model, it is an analytical descriptive survey. The population of the research consist of the pharmaceutical companies listed on the Tehran Stock Exchange from 2011 to 2013. The statistical data of this research contain the financial ratios of the companies which are ranked through Weight Fuzzy Analytic Hierarchy Process, and then by using the hybrid approach of Fuzzy Analytic Hierarchy Process and VIKOR, and also, by the application of Super Decision Software Version 2.0 and Excel Software Version 2010.
The results of the research indicated that according to the financial performance in 2011, Doctor-abidi pharmaceutical company ranked as the first, Loghman pharmaceutical and hygienic company and Chemidarou, respectively, ranked as second and third companies. In 2012, Chemidarou ranked as first; Cosar and Loghman pharmaceutical companies, respectively, ranked as second and third. In 2013, Loghman ranked as first; Zagros Pharmed and Doctor-abidi pharmaceutical companies ranked as second and third respectively.
From the viewpoint of importance of the criteria, the criterion ratios of profitability with the coefficient of 0.358 is the most significant criterion, and the criterion ratios of liquidity with the coefficient of 0.142 is the least significant criterion. Moreover, in the total ranking of companies, Loghman, Doctor-abidi, and Exir pharmaceutical companies, respectively, ranked as first, second, and third, but, Parsdarou and Sinadarou pharmaceutical companies ranked as the lowest in the list regarding their performance.

Construction accidents place a large economic burden on owners, contractors, and users of facilities and influence the injured worker’s life both at home and at work. Therefore, in this research a survey of the factors influencing safety performance of workers is perfomed in order to help to decrease construction accidents. Since these factors would differ from society to socity, we just consider them in Khuzestan province, an accident-prone province in Iran. In this study, eight main factors and thirty three sub-factors were identified based on literature study and interview with experts. Then, questionnair was used to collect opinions of experts from Khuzestan. The collected data were analysed by Fuzzy Analytic Hierarchy Process to determine the relative effect of each factor on safety performance. Results reveal the importance of safety training (priority=19.85) and safety management factors (priority=17.52) in Khuzestan province. Among safety training sub-factors, the behavioral improvement, and among safety management sub-factors, the commitment and responsibility are found to be more important than other sub-factors. Considering the mentioned results, safety training of workers and increasing of management commitment to safety can be introduced as suitable ways to increase the construction safety and decrease the construction accidents in Khuzestan.

One of the main dilemmas of the human community has been municipal waste landfills. Various methods have been developed to manage municipal wastes in which landfills are the final destination apart from the used technologies. Given the sensitivity of this issue, identifing areas approriate for landfilling requires the application of comprehensive techniques. The objective of the present research is to select the most appropriate place for municipal wastes landfilling using geographical information systems, fuzzy analytic hierarchy process and fuzzy TOPSIS. Initially the effective factors in choosing landfill location was inquired from various institution and were standardized and analysed using geographical information systems. Then every criterion was weighted according to expert opinion and FAHP (Fuzzy Analytic Hierarchy Process). Then, FTOPSIS (Fuzzy Technique for Order Preference by Similarity to Ideal Solution) method was used to prioritize the options. Each method was programmed in MATLAB. Thirty six suitable options were calculated through running the above mentioned methods. Then, two options that were located in the south east of the current landfilling (in Kulik) and Pakdasht city were selected as the best location for landfilling. Results showed that the selected landfills are located at a better position compared to the current one. And this integrated approach, showed a better performance than others due to taking into account the inexact nature of the phenomena both at weighting and ranking stages.