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.
Quality evaluation is a fundamental problem in the field of linguistic description of data. In this work, we analyze the concept of quality and study different approaches to measure quality. Although most of the approaches considered focused on time series data, that are one of the most frequent datasets in real application domains, they can be used for quality assessment of linguistic descriptions...
In this paper we investigate a new application area for protoform-based linguistic summaries, namely process data. We are proposing four protoforms that are designed to capture process specific information. Linguistic summaries can capture information on the tasks or sequences of tasks that are frequently executed as well as properties of these tasks or sequences, such as their throughput and service...
The idea of a probability measure for fuzzy events was first studied by Zadeh in 1968. The approach taken there was to adapt the conventional notion of an event as a member of a σ-field of subsets of a sample space Ω to the case where the subsets are fuzzy subsets of Ω. The present work takes a different perspective and employs the concept of a linguistic variable, where the latter was introduced...
This paper is a contribution to the study of a special kind of syllogisms with intermediate quantifiers. We stem from our previous papers where a formal theory of the intermediate quantifiers was introduced. Besides other results, we syntactically proved validity of 105 basic syllogisms with them. We also demonstrated how our theory works in the semantic interpretation. In this paper, we will address...
The prediction precision of mathematical models and their interpretability go usually against each other. The increase of the quality of one of the features decreases the other. In this article we introduce a new mathematical model based on Perception-based Logical Deduction (see [18], [19]) which is an implicative fuzzy inference mechanism based on linguistics semantics, and which enables the users...
Information aggregation is a key task in any group decision making problem. In the fuzzy linguistic context, when comparing two alternatives, it is usually assumed that assessments belong to linguistic term sets of symmetrically distributed labels with respect to a central label that stands for the indifference state. However, in practice there are many situations whose nature recommends their modelling...
Decision making is a process for managing the decision problem for human beings that use linguistic information. However, it is sometimes limited by the fact that the linguistic models use only positive linguistic terms, which may not reflect exactly what the experts mean. The previous studies neglected the equilibrium concept (i.e., two sides of a matter) that takes its roots from the Yin Yang theory...
An important aspect of interpretability in Fuzzy Linguistic Summaries (FLS) is the absence of opposition therein, which is not guaranteed by the the current approaches used for their generation, possibly leading to confusion for the end-user. In this paper, we first introduce a 3-level hierarchy to organise the models of opposition starting from simpler sentences, then enriched with generalised quantifiers...
The aim of this paper is to present a new package for the R statistical environment that enables the use of linguistic fuzzy logic in data processing applications. The lfl package provides tools for transformation of data into fuzzy sets representing linguistic expressions, for mining of linguistic fuzzy association rules, and for perfoming an inference on fuzzy rule bases using the Perception-based...
In this paper we present a general model for building linguistic descriptions of data (LDD) solutions, which is based on computational models of perception inspired in the computational theory of perceptions (CTP) and in fields of knowledge different from the computational intelligence area. The elements in the model aim to consider the richness and complexity that real LDD processes are endowed with...
In the proposed approach, an attempt was made to disambiguate Bengali ambiguous words using Naïve Bayes Classification algorithm. The whole task was divided into two modules. Each module executes a specific task. In the first module, the algorithm was applied on a regular text, collected from the Bengali text corpus developed in the TDIL project of the Govt. of India and the accuracy of disambiguation...
This paper presents a research on the design and development of a serious game called EU-Topia. This serious game aims to raise students' awareness of interculturality during job mobility. EU-Topia is developed through an approach based on participatory design. After design and development phases, the serious game has been assessed by users as generally satisfactory which, in our opinion, can be inherent...
In this paper we present the Soft Learn Activity Reporter (SLAR) service which automatically generates textual short-term reports about learners' behavior in virtual learning environments. Through this approach, we show how textual reporting is a coherent way of providing information that can complement (and even enhance) visual statistics and help teachers to understand in a comprehensible manner...
The aim of this study was to investigate the effects of using a smartphone application in a Communicative Language Teaching context. Specifically, a web-based application called Let's Talk was designed to facilitate an Information Gap activity in an English language class. Participants were assigned to an experiment group using Let's Talk or a control group using textbooks to practice English conversation...
Recognition of human gesture leads to a dynamic field that produces many various methods. The main way to improve the recognition process is to perform data fusion based on a qualification of each recognition method. The advance in data fusion gives also several solutions and the choice of a fusion method is a crucial point. The goal of this paper is to present an approach were the choice of the fusion...
The natural language processing became one of the most important fields of artificial intelligence because is related to the area of human-computer interaction using human languages (natural language generation, question answering, machine translation, etc.) or speech understanding (language modeling).To model the relations between words it is necessary to find the syntactic and semantic relations...
Deep neural networks (DNNs) use a cascade of hidden representations to enable the learning of complex mappings from input to output features. They are able to learn the complex mapping from text-based linguistic features to speech acoustic features, and so perform text-to-speech synthesis. Recent results suggest that DNNs can produce more natural synthetic speech than conventional HMM-based statistical...
prosodic focus, using a paradigm based on digit strings, in which the same material and discourse contexts can be used in different languages. We found a striking difference between languages like English and Mandarin Chinese, where prosodic focus is clearly marked in production and accurately recognized in perception, and languages like Korean, where prosodic focus is neither clearly marked in production...
In this paper, we deal with group recommendations where the task is to choose a sequence of natural attractions that better matches the expectation of a group of tourists. We show in this setting, that the crowd support in selecting potential alternatives, may help members to preserve the harmony of their group and not deviating too much from each other as well. Taking into consideration each member...
In this paper, we introduce an efficient method to represent Arabic texts in comparatively smaller sizes without losing significant information. The proposed method uses the linguistic features of the Arabic language, mainly its very productive morphology and its richness in synonyms, to reduce the dimension of the document vector and to improve its vector space model representation. We have incorporated...
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.