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This paper presents a conceptual scientific approach, blending the elements of the project management theory, i.e. three selected schools of the Perspectives on Projects (Turner, Huemann, Anbari & Bredillet, 2010), pragmatic institutional economics, and reasoned action approach, to local economy development by way of projectized household asset building activities in the case of a depressed Russian...
In the states of Andhra Pradesh and Telangana in India, the number of engineering institutions grew from under 10 to over 500 from 1978 to 2008. This resulted in a severe shortage of good quality teachers and therefore poor quality of graduating students. In India, the employability of engineering graduates is 25%. Considering the scale and wickedness of the problem, the lead author and her team worked...
Statistical language processing uses n-grams. Building n-grams from a corpus is not a trivial process. It requires careful selection of the sources that make the corpus, data collection over a long period, data cleansing, script mix removal and finally building usable n-grams for a given language. While English language n-grams are available from Google and are very popular, most of the Indic languages...
In this study we will describe an intervention decision-support method related to residential buildings, which is modelling the condition of buildings based on linguistic expert opinions so that it is capable of taking into consideration the uncertainties included in the expert opinions. Fuzzy signature-based model is used, wherein the uncertainties are integrated into the system by applying interval...
A linguistic corpus is a collection of an ample number of text documents serving as a data source for sampling human language, usually in computational linguistics. Conventional methods of building such a corpus involve frequent human intervention and poses difficulties during reproduction. To address the issues, the paper introduces CorpoMate, an extensible framework with a pipeline-inspired and...
This research aims at developing a hybrid model for non-homogeneous group decision making in the supplier selection process to select a supplier that best satisfies the purchaser. The model uses the analytical hierarchy process (AHP) in determining the influence weightings of company function department (CFD), then the house of quality (HOQ), as an essential part of the quality function deployment...
Ontology learning is a field of extracting ontological elements to form ontology. Identification of concepts is the main activities within ontology learning. Diverse methods can be used to find concepts. One of the methods is using collocation learning technique. The technique used statistical scores which to test the strength of the connection between terms. In English translated Quran, single term...
Word segmentation is the first step of any tasks in Vietnamese language processing. This paper reviews state-of-the-art approaches and systems for word segmentation in Vietnamese. To have an overview of all stages from building corpora to developing toolkits, we discuss building the corpus stage, approaches applied to solve the word segmentation and existing toolkits to segment words in Vietnamese...
Several studies conducted in Morocco and other developing countries have shown that Small and Medium Enterprises (SMEs) fail to achieve business goals for reasons related principally to lack of entrepreneurship knowledge and poor financial management. Indeed, most managers do not have the required educational background and skills, precisely in accounting and cash flow management. To manage these...
An ontology is a formal and explicit specification of a shared conceptualization. Manual construction of domain ontology does not adequately satisfy requirements of new applications, because they need a more dynamic ontology and the possibility to manage a considerable quantity of concepts that humans cannot achieve alone. Researchers have discussed ontology learning as a solution to overcome issues...
The paper describes building systems for computational linguistics based on an approach to the image text comprehension. There had been suggested a set theoretical formalization for such type of systems using the fuzzy sense relationship. The possibilities of conceptual approach had been demonstrated on the solution examples of such tasks as searching for reference words, building lexical ontology...
This paper introduces new online tools to create fuzzy color spaces and share them with researchers in computational color modeling. Fuzzy color spaces, which are able to fill the semantic gap between the color representation in computers and the subjective human perception, are built according to an approach proposed by the authors in previous works. The methodology for building fuzzy color spaces...
Though Cantonese is the most influential variety of Chinese other than Mandarin, there are only a limited number of Cantonese corpora available for linguistic studies. Among the essential steps of building a corpus, word segmentation is a necessary but highly challenging task due to the lack of clear word boundary in Cantonese. This paper reports the construction and evaluation of an open-source automatic...
This paper presents a new Fuzzy Inference System (FIS)-based Risk Priority Number (RPN) model for the prioritization of failures in Failure Mode and Effect Analysis (FMEA). In FMEA, the monotonicity property of the RPN scores is important. To maintain the monotonicity property of an FIS-based RPN model, a complete and monotonically-ordered fuzzy rule base is necessary. However, it is impractical to...
Domain ontology is a knowledge model for computer reasoning. Hence, the quality of an intelligent application is affected by the quality of its ontology. The quality of an ontology can be affected by methodology used to develop it. Yet, ontology methodology is more of a craft than an engineering. This situation is discomforting and hopefully years of ontology development have come up with a more solid...
This paper provides a review of the literature on the trust issue mainly considering organizational level relationships. The review highlights trust evaluation being a multi-layer multi-criteria and often context-dependent process which commonly uses various sources of evidence to judge the trustworthiness of trustees. Trust has been referred to as a major requirement for a successful supply chain...
Information cross-checking is an essential step of the trust building process that grants it its dynamics: it assesses the credibility dimension, finding confirmations or invalidations that respectively increase or weaken the current trust level of a considered piece of information and whose order influences its final value. This paper proposes a model of credibility integration that realistically...
The fuzzy rule interpolation (FRI) and the fuzzy signature methodology was successfully adapted for expressing the building condition. In this paper we extend this concept for estimating the life quality of the built environment, especially of the residential segment. The applied methodology is based on a hierarchical FRI as a straightforward implementation of the fuzzy signature concept. The paper...
TTS voice building generally relies on a script extracted from a big text corpus while optimizing the coverage of linguistic and phonological events supposedly related to voice acoustic quality. Previous works have shown differences on objective measures between smartly reduced and random corpora, but not when subjective evaluations are performed. For us, those results do not come from corpus reduction...
In this paper, we present an application study of a fuzzy output observer to fault detection on a laboratory three tanks system. The concept used here is based on fuzzy relational model-building and model-based residual generation technique. Several parameters are involved in the model-building procedure. We focus our attention on their influence on the behaviour of the residuals. We present the results...
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