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The operational lifetime of remote monitoring systems can be extended using energy harvesting techniques. Environmental energy is limited and intermittent so energy management is necessary for effective implementation and optimal performance. The objective of remote monitoring is to acquire the highest quality data possible within this energy-constrained environment. A simulator is used to facilitate...
Clustering methods are proposed and evaluated as post-processing techniques that can model the uncertainty of forecasts provided by Numerical Weather Prediction (NWP) systems. These techniques try to discover relevant information about forecast uncertainty that is inherent in the performance records of the system. We investigate the application of Fuzzy C-means clustering as a powerful unsupervised...
Historically, Computer science emerged from electrical engineering in the 1960s. From the content of some unpublished documents and rather non-well-known papers by Lotfi A. Zadeh it is argued that the emergences of Computer science and Fuzzy Set Theory have been interlinked. Zadeh's task as Chair of the Electrical Engineering Department in Berkeley in the 1960s, his activities in Education of Engineering...
In this contribution we begin to discuss the thesis that an analysis of the similarities and differences of typical methodologies of human sciences, technology and hard sciences show some unforeseen but strong similarities between human sciences and technologies. In this context fuzzy sets ideas provide useful tools which help to render the analysis more quantitative but without loosing the connection...
Probabilistic and Fuzzy Logic approaches have been used for developing Intelligent Tutoring Systems (ITS) for years to deal with uncertainties in ITS but without much attention to justification of the particular techniques, which we call the analysis of scientific rigor of the approach. In probabilistic approaches, there is a missing justification of the Markovian assumption of Bayesian networks along...
We describe a computationally feasible approach to perceptual computing in large social networks, where the attribute memberships and relationship strengths are described using words, and the words are represented by interval type-2 fuzzy membership functions. By employing pre-computation and storage, we reduce the queries of such networks to simple arithmetic calculations that can be feasibly performed...
The users see social networks as a platform for exchanging their opinions about posted items. Such behavior is easily observed in tagging systems. Tagging is a process of annotating, by a single user, any items available on the network - called resources - by individuals. Items labeled by users, and labels used by users can be exploited to construct signatures representing users' activities and interests...
The concept of fuzzy tree substitution, fuzzy tree concatenation and fuzzy tree closure are defined, it is shown that we can obtain fuzzy regular tree languages by substitution, concatenation, closure operation on the fuzzy regular tree languages. Finally, we introduce the notion of fuzzy regular tree expressions, and the equivalences of fuzzy regular tree expressions and fuzzy tree automata is proved.
Decision trees are powerful models which can be applied to classification tasks. Fuzzy decision trees unite the advantages of the classic decision trees, which produce simple models with high interpretability, competitive accuracy, and a graphical representation, as well as the advantages of fuzzy systems, which include the capability of dealing with imprecision and uncertainty in data. A key issue...
This paper advocates a novel approach to fuzzy systems modeling called fuzzy pattern trees. This approach is largely motivated by alleged disadvantages of rule-based system architectures that still dominate the field. Due to its hierarchical, modular structure and the use of different types of (nonlinear) aggregation operators, a fuzzy pattern tree has the ability to represent functional dependencies...
Much of recent research in wind power forecasting focuses on predicting large, sudden changes in wind power output, called wind ramps. Analysis of specific weather phenomena that cause wind ramps can yield significant improvements in the quality of wind ramp forecasts. In this contribution, we concentrate on analysis and detection of pressure trough. Troughs are significant indicators of wind shifts,...
This article is focused on automatic recognition of jewelery stones quality. An image recognition method is described. Relevant image characteristics are computed, which are then used to classify the stone quality. Classification is performed by an algorithm based on binary decision trees with the decision thresholds adapted from a training dataset. At the end, the time complexity as well as accuracy...
This paper is based on real application whose task was to recognize characters printed on metal ingots. The problem is that the surface of ingots is very uneven — ingots are either hot, or cut by rough instrument, the printing machine can be worn down, etc. Therefore, the first difficulty was to separate characters from the background and the second one was the fact that the separated characters are...
This paper gives a brief presentation of history of Soft Computing considered as a mix of three scientific disciplines that arose in the mid of the 20th century: Fuzzy Sets and Systems, Neural Networks, and Evolutionary Computation. The paper shows the genesis and the historical development of the three disciplines and also their meeting in a coalition in the 1990s.
This paper just deals with the starting point in the twenty years old paper [1] by Charles Elkan, with which he tried to puzzle fuzzy logic: That the formula 1-min (a,1−b) = max (b, min (1−a, 1−a)) holds in the unit interval.
Creating high quality products/services in terms of consumer preference has become a critical issue for tourism managers. To fulfil these needs, this paper proposes a route recommendation algorithm that supplies movement routes with the locations they want visit. The analysis of visiting locations and corresponding timestamps are based on a Radio-Frequency Identification (RFID) data and stored in...
Cloud computing is a large-scale distributed computing paradigm driven by economies of scale, in which a pool of abstracted, virtualized, dynamically-scalable, managed computing power, storage, platforms, and services are delivered on demand to external customers over the Internet. Although a significant amount of studies have been developed to optimize resource management and task scheduling in cloud...
This paper originally proposes an intelligent recommender system for supporting personalized fashion design. Based on two models characterizing relations between human body measurements and human perceptions on human body shapes, we develop the criteria permitting to evaluate a set of new design styles for a specific garment customer and a desired fashion theme. In this approach, the intelligent techniques,...
The main contribution of this paper is to develop a Perceptual Computer for Fuzzy Love Selection problem. This is a problem of ranking all members (alternatives) in an individual list in order of preference. Uncertainty of the individual about criteria scores and weights assigned to each alternative is handled by means of Perceptual Computer. This paper also presents a comparison of two Perceptual...
The complexity and relevance of the real world decision making problems have made necessary to use multiple points of view to achieve a common solution by using the knowledge provided for a group of experts. Usually, this knowledge is vague and imprecise. In such cases, the use of linguistic information has provided successful results, although sometimes they are limited because of the linguistic...
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