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The use of multiple intelligent agents in the decision support systems has become common. However, there are many questions in this field, such as the consensus of the agents and the method on choosing the best decision. In order to solve these problems, this paper provides a method, which uses the fuzzy aggregation operator to aggregate the opinions of the agents, ranks the alterative with the fuzzy...
Aggregation plays a central role in human thought. There is a need to develop better data aggregation mechanisms in various real-life applications involving intelligent systems. Application of fuzzy measures and fuzzy integrals is a significant development in this pursuit. However, there are certain issues associated with practical implementation of fuzzy measures. This work proposes an approach to...
Fuzzy neural network, which is based on fuzzy theory and BP neural network, plays an important role in practical. But the difficulty is how to construct its structure model. In this paper, according to the hypostasis of hidden layer, a fuzzy neural network model based on fuzzy clustering is brought forward, in which features of the samples are extracted and output information is synthetically considered...
The following topics are dealt with: AI and expert systems; artificial immune systems and bio-informatics; chaos theory; data mining; fuzzy set theory; genetic algorithm; information retrieval; intelligent control; intelligent decision making; intelligent information processing; intelligent recognition; intelligent robotics; machine learning; natural language & machine translation; neural networks;...
Feature extraction or feature subset selection is an important preprocessing task for pattern recognition, data mining or machine learning application. Feature subset selection basically depends on selecting a criterion function for evaluation of the feature subset and a search strategy to find the best feature subset from a large number of feature subsets. Lots of techniques have been developed so...
Thresholding approaches are fundamental and important techniques in image segmentation. There exist lots of integrated techniques of thresholding methods with fuzzy sets theory. The fuzzy compactness and fuzzy divergence are powerful tools in dealing with vague and imprecise data, and are widely applied to thresholding segmentation for images. This paper extends the two kinds of fuzzy measures to...
The detection of explosives in passengers?? luggage is an important area in public traffic security. This paper presents a united classification system for detecting explosives based on fuzzy rule and neural networks. Due to imaging and influence of outer environment, preprocessing is firstly needed to improve the quality of X-ray images. Then, a test pattern may be considered as several possible...
A fuzzy set approach is applied to price American put options on Euribor futures in this paper. Since volatility in any option pricing model should be the future volatility, it is imprecisely to substitute history volatility or implied volatility for future volatility. We introduce an uncertainty degree to fuzzificate the volatility parameter of the option pricing model into a triangular fuzzy number...
The aggregation of fuzzy opinions is an important component of group decision analysis with fuzzy information. This paper proposes two new approaches for the assessment of the weights to be associated with fuzzy opinions. These approaches involve, respectively, the minimization of the sum of squared differences between the individual weighted fuzzy opinion and the weighted mean value of all fuzzy...
In this paper we define interval-valued relations. It is defined reflexive, symmetric and T-transitive properties of interval-valued relations, and the transitive closure of an interval-valued relation. Finally, we propose a algorithm to compute the transitive closure. Some examples are given and some properties are studied.
Belief revision is a focus of the research of artificial intelligence. How to revise uncertain belief is worth researching. Based on general fuzzy probabilistic aumann belief logic, the belief mental attribute of agent is considered, and two kinds of fuzzy probabilistic in a belief base are given, the classical partial meet revision is extended to fuzzy probabilistic belief base revision. According...
This paper describes a practical application of fuzzy logic about estate valuation: the REV software tool. Its main goal is to show an alternative way to evaluate the value of appraisal. This alternative consists of making a previous classification of the universe of discourse, that is, the set of potential buyer. REV makes a different evaluation per each class according to their preferences. The...
The DC-DC voltage-mode controlled buck converter is a nonlinear, nonsmooth system that presents different circuit topologies within one switching cycle. This paper develops a Takagi-Sugeno fuzzy approach for modeling this circuit to capture all the essential nonlinearities that occur in fast time scale. Based on the resulting model, we propose tractable mathematical stability analysis for identifying...
A belief rule-base inference methodology using the evidential reasoning approach (RIMER) has been developed recently, which is an extension of traditional rule based systems and is capable of representing more complicated causal relationships using different types of information with uncertainties. A rule-base in RIMER is designed with belief degrees embedded in all possible consequents of a rule,...
Project selection decisions could be thought within the strategic objectives and plans of the firm. So, strategic R&D project selection decision is very important in two ways. First, in many organizations, R&D budget represents huge investment. Second, R&D projects?? organizational returns are multidimensional in nature and risky in terms of projected outcome. The risky side of the selection...
Internal evaluation is an important part of the service quality evaluation of power supply. This paper proposes an index system of service quality internal evaluation which covers all kinds of the electricity service activities. Also, a model of how to weigh the indexes based on the Analytic Hierarchy Process and Triangular Fuzzy Number Principle is established, to solve the uncertainty of empowering...
Process capability indices (PCIs) are very useful statistics to summarize process?? distribution and width. They are one of the results of process capability analysis. This analysis is based on normal distribution approximation which is used to calculate the probability of the process to produce between and out of specification limits. In this paper, process ability which is defined as produce conforming...
The recent development of Web 2.0 has provided for an enormous increase in human interactions across all corners of the earth. One manifestation of this is the growth of computer mediated social networks. Many notable Web 2.0 applications such as Facebook, Myspace and LinkedIn are social networks. Social relational networks are becoming an important technology in human behavioral modeling. Our goal...
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