[Archives de la Parole]. , The daughter of the king of flowers : a fable in Kodaku from Surguja (C.P.) [i.e. Central Provinces] / [Sir George Grierson], éd. ; Linguistic survey of India ; [Jūthan Koḍākū], voix

[Traditions. Asie. Inde. Madhya Pradesh. Chhattisgarh]

[Archives de la Parole]. , Son-in-law-at-home : a fable in Parja from Bastar (C.P) [i.e. Central Provinces] / [Sir George Grierson], éd. ; Linguistic survey of India ; [Bhima Parjā], voix

[Traditions. Asie. Inde. Madhya Pradesh. Chhattisgarh]

[Archives de la Parole]. , Wife as compensation : a fable in Korwa from Surguja (C.P.) [i.e. Central Provinces] / [Sir George Grierson], éd. ; Linguistic survey of India ; [Nathu Kōrwā], voix

[Traditions. Asie. Inde. Madhya Pradesh. Chhattisgarh]

Proposta de reconhecimento de padrão de conforto em clientes com pênfigo vulgar utilizando a Lógica Fuzzy

Propuesta de reconocimiento del estándar de comodidad en clientes con pénfigo vulgar utilizando la Lógica FuzzyO objetivo é propor a Lógica Fuzzy para reconhecimento de padrões de conforto de pessoas submetidas a uma tecnologia de cuidar em Enfermagem por apresentarem pênfigo vulgar, uma doença cutâneo-mucosa rara que acomete principalmente adultos. A proposta aplicável em métodos experimentais com sujeitos submetidos à comparação quali-quantitativa (taxonomia/pertinência) do padrão de conforto antes e depois da intervenção. Requer o registro em escala cromática correspondente à intensidade de cada atributo: dor; mobilidade e comprometimento da autoimagem. As regras Fuzzy estabelecidas pela máquina de inferência definem o padrão de conforto em desconforto máximo, mediano e mínimo, traduzindo a eficácia dos cuidados de Enfermagem. Apesar de pouco utilizada na área de Enfermagem, essa lógica viabiliza pesquisas sem dimensionamento a priori do número de sujeitos em função da estimação de parâmetros populacionais. Espera-se avaliação do padrão de conforto do cliente com pênfigo diante da tecnologia aplicada de forma personalizada, conduzindo a avaliação global.

Measures of fit in multiple correspondence analysis of crisp and fuzzy coded data

When continuous data are coded to categorical variables, two types of coding are possible: crisp coding in the form of indicator, or dummy, variables with values either 0 or 1; or fuzzy coding where each observation is transformed to a set of "degrees of membership" between 0 and 1, using co-called membership functions. It is well known that the correspondence analysis of crisp coded data, namely multiple correspondence analysis, yields principal inertias (eigenvalues) that considerably underestimate the quality of the solution in a low-dimensional space. Since the crisp data only code the categories to which each individual case belongs, an alternative measure of fit is simply to count how well these categories are predicted by the solution. Another approach is to consider multiple correspondence analysis equivalently as the analysis of the Burt matrix (i.e., the matrix of all two-way cross-tabulations of the categorical variables), and then perform a joint correspondence analysis to fit just the off-diagonal tables of the Burt matrix - the measure of fit is then computed as the quality of explaining these tables only. The correspondence analysis of fuzzy coded data, called "fuzzy multiple correspondence analysis", suffers from the same problem, albeit attenuated. Again, one can count how many correct predictions are made of the categories which have highest degree of membership. But here one can also defuzzify the results of the analysis to obtain estimated values of the original data, and then calculate a measure of fit in the familiar percentage form, thanks to the resultant orthogonal decomposition of variance. Furthermore, if one thinks of fuzzy multiple correspondence analysis as explaining the two-way associations between variables, a fuzzy Burt matrix can be computed and the same strategy as in the crisp case can be applied to analyse the off-diagonal part of this matrix. In this paper these alternative measures of fit are defined and applied to a data set of continuous meteorological variables, which are coded crisply and fuzzily into three categories. Measuring the fit is further discussed when the data set consists of a mixture of discrete and continuous variables.

A Cross-linguistic comparison of copular predication

This paper explores the syntax of copular predication withn and across the varletles of cape verdean creole briging new insights about the morpho-synactic properies of the copula with respect to funcional and lexical categories

An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System

The potential of type-2 fuzzy sets for managing high levels of uncertainty in the subjective knowledge of experts or of numerical information has focused on control and pattern classification systems in recent years. One of the main challenges in designing a type-2 fuzzy logic system is how to estimate the parameters of type-2 fuzzy membership function (T2MF) and the Footprint of Uncertainty (FOU) from imperfect and noisy datasets. This paper presents an automatic approach for learning and tuning Gaussian interval type-2 membership functions (IT2MFs) with application to multi-dimensional pattern classification problems. T2MFs and their FOUs are tuned according to the uncertainties in the training dataset by a combination of genetic algorithm (GA) and crossvalidation techniques. In our GA-based approach, the structure of the chromosome has fewer genes than other GA methods and chromosome initialization is more precise. The proposed approach addresses the application of the interval type-2 fuzzy logic system (IT2FLS) for the problem of nodule classification in a lung Computer Aided Detection (CAD) system. The designed IT2FLS is compared with its type-1 fuzzy logic system (T1FLS) counterpart. The results demonstrate that the IT2FLS outperforms the T1FLS by more than 30% in terms of classification accuracy.

Fuzzy coding in constrained ordinations

Canonical correspondence analysis and redundancy analysis are two methods of constrained ordination regularly used in the analysis of ecological data when several response variables (for example, species abundances) are related linearly to several explanatory variables (for example, environmental variables, spatial positions of samples). In this report I demonstrate the advantages of the fuzzy coding of explanatory variables: first, nonlinear relationships can be diagnosed; second, more variance in the responses can be explained; and third, in the presence of categorical explanatory variables (for example, years, regions) the interpretation of the resulting triplot ordination is unified because all explanatory variables are measured at a categorical level.

Biplots of fuzzy coded data

A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition. We consider data sets consisting of continuous-scale measurements, their fuzzy coding and the biplots that visualize them, using a fuzzy version of multiple correspondence analysis. Of special interest is the way quality of fit of the biplot is measured, since it is well-known that regular (i.e., crisp) multiple correspondence analysis seriously under-estimates this measure. We show how the results of fuzzy multiple correspondence analysis can be defuzzified to obtain estimated values of the original data, and prove that this implies an orthogonal decomposition of variance. This permits a measure of fit to be calculated in the familiar form of a percentage of explained variance, which is directly comparable to the corresponding fit measure used in principal component analysis of the original data. The approach is motivated initially by its application to a simulated data set, showing how the fuzzy approach can lead to diagnosing nonlinear relationships, and finally it is applied to a real set of meteorological data.

[Archives de la Parole]. , The [Parable of] the Prodigal son : in Khariā / [Sir George Grierson], éd. ; Linguistic survey of India ; Voix parlée

[Traditions. Asie. Inde. Chotā Nāgpur]

[Archives de la Parole]. , Parable of the prodigal son in Parjé [i.e. parji], from Bastar (C.P) [i.e. Central Provinces] : dravidien, Linguistic survey of India, [Sir George] Grierson / [Sir George Grierson], éd. ; Linguistic survey of India ; [Bhima Parjā], voix

[Traditions. Asie. Inde. Madhya Pradesh. Chhattisgarh]

[Archives de la Parole]. , Parable of the prodigal son : in Kodaku, from Surguja / [Sir George Grierson], éd. ; Linguistic survey of India ; [Jūthan Koḍākū], voix

[Traditions. Asie. Inde. Madhya Pradesh. Chhattisgarh]

[Archives de la Parole]. , Parable of the prodigal son : in Hō / [Sir George Grierson], éd. ; Linguistic survey of India ; Voix parlée

[Traditions. Asie. Inde. Chotā Nāgpur]

[Archives de la Parole]. , Parable of the prodigal son : in mixed Baghelkhandi (C.P.) [i.e. Central Provinces], from Murwara / [Sir George Grierson], éd. ; Linguistic survey of India ; [Rai Bahadur Hiralal], voix

[Traditions. Asie. Inde. Madhya Pradesh. Baghelkhand]

[Archives de la Parole]. , Parable of the prodigal son : in Santali / [Sir George Grierson], éd. ; Linguistic survey of India ; Voix parlée

[Traditions. Asie. Inde. Chotā Nāgpur]