The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Selecting an appropriate treatment regimen for an HIV-infected patient is a significant problem. We previously developed a regimen selection system for the first-round HIV/AIDS treatment based on the fuzzy discrete event systems (FDES) theory where type-1 fuzzy sets are used to represent experts' consensus. In clinical practice, different experts may have their own distinct knowledge and expertise...
The cluster analysis deals with the problems of organization of a collection of data objects into clusters based on similarity. It is also known as the unsupervised classification of objects and has found many applications in different areas. An important component of a clustering algorithm is the distance measure which is used to find the similarity between data objects. K-means is one of the most...
This study proposes a novel seeded region growing based image segmentation method for both color and gray level images. The proposed fuzzy edge detection method, that only detects the connected edge, is used with fuzzy image pixel similarity to automatically select the initial seeds. The fuzzy distance is used to determine the difference between the pixel and region in the consequent regions growing,...
We propose a simplified architecture for a recurrent neural network designed for learning from structures. We describe the architecture and the implementation and show the performances of the net. Two examples from the science domain are discussed: the first uses a synthetic data set and the second illustrates a chemical problem. We discuss about the results and compare them to other applications,...
This paper presents a multi-agent system (MAS) for reduction of the bullwhip effect in fuzzy supply chains. First, it is shown that, even using an optimal ordering policy, without data sharing the bullwhip effect still exists in the supply chain. Then a multi-agent system is proposed to manage the bullwhip effect. The multi-agent system has four different types of agents. The multi-agent system applies...
Within the last decade or so, there have been several proposals to develop fuzzy system models via functional representation in place of rule base representation. We review at least three of these approaches.
The sheer complexity of causation in the economic arena mandates a fuzzy approach. In this study we consider economic system as human centric and imperfect information based realistic multi-agent system with fuzzy-logic-based representation of the economic agents' behavior and with imprecise constraints. We will mainly consider two important problems of fuzzy economics: fuzzy decision principle and...
Intuitionistic fuzzy set (IFS) is the first major attempt to capture both membership as well as the nonmembership in a comprehensive way. The currently available operators of IFS, at the very least, cannot be used for of knowledge consolidation. In this paper the consolidation operator for IFS has been introduced.
In local version (lbest) of particle swarm optimization (PSO), each particle has only the information of its own and its neighbors' best, rather than all the population. The neighborhood of each particle is generally defined as topologically nearest particles to such particle at each side. There is no robust approach for determining the neighborhood size in the literature and all of them rely on try...
Whether a rule-based fuzzy system has the ability to approximate any multivariate continuous function arbitrarily well is an important issue, especially for fuzzy control and fuzzy modeling. The answer to this issue concerning various Mamdani and Takagi-Sugeno (TS) fuzzy systems employing type-1 fuzzy sets is affirmative and well documented in the literature. As for type-2 (T2) fuzzy systems, the...
In this paper, an effort has been taken by the authors to introduce the contrast intensification operator for intuitionistic fuzzy sets of root type to process the gray and colour image by enhancing its clarity and quality through Java language. Also comparison is made between the existing Fuzzy Set, intuitionistic fuzzy sets, intuitionistic fuzzy sets of second type and intuitionstic fuzzy sets of...
This paper proposes a method for the identification of individuals from their gait using fuzzy logic. Gait signature is first extracted in the form of a spatiotemporal representation called Gait Energy Image (GEI). Since the dimension of GEI is very high, we use fuzzy principal component analysis (FPCA) for dimension reduction. Unlike traditional PCA, it helps to get rid of the problems of outliers...
Vertical take off and landing aircrafts have been the subject of research for many years. The Boeing CV-22 Osprey is one such aircraft. Takeoff and landing phases of these aircrafts create very challenging control problems. Having two massive engines at the wingtips of the airplane creates an inherently unstable system. Added to this challenge is an inherent delay in pilot demand for engine thrust...
This paper focuses on statistical independence of multiple variables from the viewpoint of linear algebra. While information granules of statistical independence of two variables can be viewed as determinants of 2 times 2- submatrices, those of three variables consist of several combination s of determinants. However, this combination can be viewed as a linear sum over the all combinarial pairs of...
Conventionally, informal communication is said to be contingent. However, it is naturally acknowledged that such a communication may also be intentional, thus may not be entirely contingent. Meanwhile, importance of computational support to informal communication has been put forward, and the concept of awareness has been widely studied. Following such trend, we study on triggers of informal communication...
In this paper we introduce the problem of predicting the mutagenic toxicity property of chemical compounds and we discuss how this can be partially formulated as a computational intelligence problem. Then we develop a statistical model based on a selected set of descriptors of the molecular structure. The classifier, that we derived from SVM methods, outperforms the available methods in performance...
In 2008, an American presidential election was held. In this study, we examined the speeches of three candidates to educe their linguistic features statistically. In short, frequency characteristics of character-appearance and word-appearance were investigated. These characteristics were approximated by an exponential function. Furthermore, the percentage of required vocabulary and that of basic vocabulary...
This paper presents the preliminary work of an approach where Fuzzy Boolean Nets (FBN) are being used to extract qualitative knowledge regarding the effect of prescribed fire burning on soil chemical physical properties. FBN were chosen due to the scarcity on available quantitative data.
There have been a large amount of research on topic tracking and detecting bursts in topics. However, there has been little research on predicting bursts in the future. We propose a method for predicting bursts of threads in a Bulletin Board System (BBS) using a kind of user. We call the kind of the user a ldquoconnoisseurrdquo. A connoisseur is a user who comments early in a thread which will burst...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.