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In this paper, we propose a framework of multi-genre movie recommender system based on neuro-fuzzy decision tree (NFDT) methodology. The system is capable of recommending list of movies in descending order of preference in response to user queries and profiles. The system also takes care of attempt to vote stuffing using novel application of fuzzy c-means clustering algorithm. Typical user query and...
We propose a new approach to tackle the well known fuzzy c-means (FCM) initialization problem. Our approach uses a metaheuristic search method called Harmony Search (HS) algorithm to produce near-optimal initial cluster centers for the FCM algorithm. We then demonstrate the effectiveness of our approach in a MRI segmentation problem. In order to dramatically reduce the computation time to find near-optimal...
An adaptive controller for a class of unknown nonaffine discrete-time plants is introduced in this article. The proposed control law is constructed by the estimated system linearization with adjustable networks called Muti-input Fuzzy Rules Emulated Networks or MIFRENs. Only on-line learning phase, the bounded parameters inside MIFRENs and the boundary of control error are given by the proposed theorem...
This paper presents a methodology to solve radial distribution networks load flow problem, wherein the input data are uncertain due to measurement errors. In order to deal with these here the uncertainties, interval mathematics (IM) tool has been applied to obtain the interval load flow solution. The data arrangement to account for uncertainties, the complex load currents at the buses and line parameters...
In aggregation problems different types of information items can occur. In spite of such diversity, it is possible to reinterpret them approximately in a unique formal setting by means of profiles: an extension of fuzzy set membership functions. Then the original aggregation problem can be modelled by an appropriate profile aggregation. Therefore, in this paper we concentrate on and reconsider some...
In the paper a preliminary system construction and solution of the risk management principle is given. The solution is based on the multilevel model construction and grouped risk factors. The risk management principle is given based on structured risk factors classification and on the fact, that some risk factor groups, risk factors or management actions have a weighted role in the system operation...
Color image histograms are very useful tools for content based image retrieval (CBIR) that can be applied on features such as colour, texture and shape. As these kinds of histograms results with large variations between neighbouring bins, they seem so sensitive to any kind of changes such as noise, illumination. To overcome this problem, in this paper, fuzzy linking histogram approach based on OWA...
The problem of construction of parametric classes of fuzzy conjunction and disjunction operations suitable for efficient digital hardware implementation is studied. The set of digital generators that can be used in generation of digital fuzzy parametric conjunctions is proposed. These generators together with basic t-norms and t-conorms can be used to generate new digital fuzzy conjunctions with effective...
The inherently hierarchical problem of evaluating the complexity of an image interpretation is of relevance in both computer science and cognitive psychology. In this paper a new method of rule generation for the hierarchical prioritized fuzzy system, HPFS, is proposed, which overcomes the problem of lack of interpretability of most of the traditional fuzzy systems in modelling image. A hierarchical...
Brain MR Images corrupted by RF-Inhomogeneity (bias artifact) exhibit brightness variations across the image. As a consequence, a standard fuzzy C-means (fcm) segmentation algorithm may fail. In this work we show a new general-purpose bias removing algorithm, which can be used as a pre-processing step for a fcm segmentation. We also compare our experimental results with the ones achieved by using...
FCMs are appropriate to explicitly encode the knowledge and experience accumulated on the operation of a complex system. Once constructed for a particular domain, an FCM allows a qualitative simulation of the system. In this paper, we investigate a first approach to introduce intuitionistic fuzzy logic into the construction process of FCMs for improved medical decision making. The theory of intuitionistic...
In a deregulated electricity market one of the most important tasks of independent system operator (ISO) is to manage congestion as it threatens system security and may cause rise in electricity price resulting in market inefficiency. In corrective action of congestion management schemes, it is crucial for ISO to select the most sensitive generators to re-schedule their real and reactive powers optimally...
This paper discusses a biometric encryption system using fuzzy vault scheme implemented on FPGA development board. Cryptographic algorithms are very secure overall but have a weak point in terms of the storage of the crypto keys. Biometric authentication systems have many exploitable weak points that can be used to compromise the system. Biometric encryption is a security scheme that combines strong...
Workflow is the most widespread modeling technique application in the field of business and office information systems. In the previous paper introduced P-graph-based workflow modeling extended by the introduction of resource management is a systematic, fast method of optimal workflow model generation based on network synthesis with correct mathematical background. In this paper a further extension,...
Edition of natural images usually asks for considerable user involvement, being segmentation one of the main challenges. This paper describes an unified graph-based framework for fast, precise and accurate interactive image segmentation. The method divides segmentation into object recognition, enhancement and extraction. Recognition is done by the user when markers are selected inside and outside...
This paper addresses a novel image thresholding scheme using Atanassov intuitionistic fuzzy set. The intuitionistic fuzzy set theory takes into account the membership degree and another uncertainty term , the non- membership degree. Non membership degree is calculated from Sugeno type intuitionistic fuzzy generator. The use of two uncertainties in the Atanassov's intuitionistic fuzzy set helps in...
Conventional reliability analysis rely on the probability model, which is often inappropriate for handling complex systems due to the lack of sufficient probabilistic information. For large complex systems made up of many components, the uncertainty of each individual parameter amplifies the uncertainty of the total system reliability. To overcome this problem, the concept of fuzzy approach has been...
Differential evolution has emerged as one of the fast, robust, and efficient global search heuristics of current interest. Besides its good convergence properties and suitability for parallelization, Differential evolution's main assets are its conceptual simplicity and ease of use. This paper describes an application of differential evolution to the fuzzy clustering for categorical data sets. The...
In the literature on subspace clustering, traditional clustering techniques have been extended for computing meaningful and interesting clusters in the appropriate subspaces of the high dimensional data. We present a novel algorithm to capture unobserved object relationships embedded in fuzzy subspaces. In order to model the uncertainties of fuzzy data, we propose a modification of fuzzy c-means algorithm...
Based on data collected previously on the electricity market of the East China, we use stepwise regression method to find the approximate expression of the active power flow of each power sets on East Chinapsilas certain electrical network. Then classified discussion is carried out according to the difference of the capacity in and out of merit in order to obtain a simple and reasonable rule for calculating...
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