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The methodological principles model of fuzzy expert system of assessing the impact of environmental pollution on mortality in Ukraine was developed in the work. The approach, which allows to determine the proportion of the total deaths caused by destructive influence continuous pollution (emissions, discharges and waste) and social and natural and economic conditions have been proposed. On the basis...
The migraine headache is a kind of most populated headache which its rate of population is so high. The first step for starting of treatment is the recognition stage. Also the fuzzy logic has good power for describing of enigmatic and imprecise aspects and due to this reason this tool could be used for the system modeling. The aim of this research is the migraine recognition by the usage of fuzzy...
The aim of this study is to design a fuzzy expert system which diagnoses whether an infant is suffering from malnutrition or not, and if he/she is in the trap of malnutrition, then what is the extent or severity of the same. For this purpose, we have taken into account 13 input variables-breast feeding, daily family income, level of mother's education, colostrum intake, energy intake, protein intake,...
In a way to deal with real heath care problems, we proposed a fuzzy based decision- making system for diagnosis of breast cancer. Breast cancer is the most far- reaching disease today, so primary detection of Breast Cancer is very significant. The proposed paper was provided with artificial intelligent techniques such as fuzzy logic to give correct decision making. The fuzzy rule- based makes use...
Expert systems are computer programs which are designed to perform the job of an expert, and also to dramatize their behavior. An expert system is important with the aim of implementing computer systems rather than human beings in decision making. The energy of strategic goods is considered in international levels. Activities of the government and organizations depend on the product and its related...
Security and making trust is the first step toward development in both real and virtual societies. Internet-based development is inevitable. Increasing penetration of technology in the internet banking and its effectiveness in contributing to banking profitability and prosperity requires that satisfied customers turn into loyal customers. Currently, a large number of cyber attacks have been focused...
Subsurface micro irrigation techniques such as capillary irrigation has long been proven to provide higher water saving for cultivation. Advancement of the capillary irrigation system has been made by using a high capillarity fibrous medium to transfer water directly to the rooting zone of plant. Wicking of water through the fibrous medium depends on the distance from a water source which known as...
This paper describes fuzzy logic expert system (FES) uses data about the Zero Moment Point (ZMP) position for automatically determining the gait phases. Simplified human body model is introduced for computation of ZMP position which is the input to the FES. Information about the type of gait phase is the output of FES. The designed fuzzy-rules based system was tested to evaluate the gait of twenty-two...
The high integration density interconnects, closerproximity of modules, and the routing phase are pivotal during the layout of 3D ICs. Heuristic based approaches are typically used to handle such NP complete problems of global routing in 3D ICs. To overcome the inherent limitations of deterministic approaches a novel methodology for multi-objective global routing based on fuzzy logic has been proposed...
During recent days, the large problem space of very large scale integrated (VLSI) circuits has led global routing problem to a NP Complete one. With the advent of three dimensional integrated circuits (3D IC) the problem has become more complex. In this paper, a multi-objective global routing technique is formulated using fuzzy logic to get rid of the limitations of deterministic approaches. During...
Accuracy maximization and complexity minimization are the two main goals of a fuzzy expert system based microarray data classification. Our previous Genetic Swarm Algorithm (GSA) approach has improved the classification accuracy of the fuzzy expert system at the cost of their interpretability. The if-then rules produced by the GSA are lengthy and complex which is difficult for the physician to understand...
Artificial immune systems are computational intelligent systems inspired by human biological immune systems. The biological immune system can detect and defend the human body against different kinds of intruders. These systems are distributed, adaptive and multilayered in nature, and the proposed artificial immune system incorporates these powerful and diverse set of characteristics in designing a...
Treatment to diabetes using microarray data has gained much attention among the physician as it provides important information about pathological states as well as information that can lead to earlier diagnosis. But its high dimensional low sample nature poses a lot of difficulties when it is analyzed by hand and needs an automatic system. As against statistical and machine learning approaches, fuzzy...
One of the recent business challenges is evaluating performance measurement on product returns and recovery operations. Recovery strategy is important in minimising landfill waste. However, there is a lack of measureable criteria to examine the performance attributes of cost, time, waste and quality for a manufactured product with recovery operations in a supply chain. This paper proposes the development...
This paper describes the design of the tool for supporting decision making process in the object relational mapping. The paper describes the main differences between object and relational model and the current state of object relational mapping, which addresses the discrepancy between them. In the paper a fuzzy expert system based on information from the object model will be proposed. This expert...
The purpose of this research is determining the Success of Innovation Ideas in Social Computing Technologies area by an intelligent system. Here two Fuzzy Expert Systems have been designed with the consideration of some effective variables on Ideas Barriers for first system and some other effective variables on Ideas Attractiveness for second system. The Innovation Ideas Success is determined on basis...
The aims of the study are to design a Fuzzy Expert System (FES) for diagnosis of periodontal dental disease by analyzing diagnosis, to define treatment methods and also to develop a computer program to help dentists for investigation, diagnosis and treatment of the disease. The designed FES is expected to help dentists by facilitating their job with the most correct diagnosis and treatment method...
Web services are the key technologies for the web applications developed using Service Oriented Architecture (SOA). Many outsourced web services can be combined to provide value added services to the users. There are many challenges involved in its implementations. One of the essential challenges is service discovery which involves finding a set of suitable web service candidates faster. When a large...
With the development of large-scale, intelligent and complex systems, the conventional fault tree analysis method is incapable of analyzing the fault tree model of systems with vague data and multi-state. As a solution, this paper proposes a new approach of fuzzy multi-state fault tree analysis method based on a fuzzy expert system. Fuzzy theory is applied to representing the degree of fault tree...
One of the important subjects regarding to human health is animal health and domestic products health undoubtedly are the most basic health factors, although, there are complete and correct information in the disease of animal with neurological involvement, however, generally defined neurological diseases only on the basis of clinical symptoms is not so simple as so proximity neurological signs and...
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