The present contribution is devoted to the theory of fuzzy sets, especially Atanassov Intuitionistic Fuzzy sets (IF sets) and their use in practice. We define correlation between IF coefficient, we bring a new perspective solving problem data file reduction case where input come from sets. specific applications two best-known methods, Principal Component Analysis Factor Analysis, used solve red...

In this study 91 local Swedish dialects were analysed based on vowel pronunciation. Acoustic measurements of vowel quality were made for 18 vowels of 1,014 speakers by means of principal component analysis of vowel spectra. Two principal components were extracted explaining more than 34 of the total variance in the vowel spectra. Plotting vowels in the PC1-PC2 plane showed a solution with stron...

This talk is an introduction to Independent Component Analysis (ICA) and Parallel Factor Analysis (PARAFAC), the way they are related and their links with Principal Component Analysis (PCA). PCA is now a standard technique for the analysis of two-way multivariate data, i.e., data available in matrix format. However, principal components are subject to rotational in-variance. By imposing statist...

Few studies have investigated how customer service plays its role in logistics management. Despite numerous in-depth researches in supply chain management, the relationship between customer service and logistics management has received little attention. As both activities are practically human-oriented activities, they are inherently difficult to be mutually supportive, particularly in the pres...

Tourism in general has become one of the major cultural and economic forces in the world today and is regarded as an important means to benefit local communities. Langkawi for example, has experienced tremendous development since declared a duty free island in 1987. Many construction projects are carried out on the islands with only one purpose: to accommodate tourism development. Rapid investm...

The principal component analysis (also named Karhunen–Loève transformation) and the factor analysis are both tools of the multivariate statistics, more precisely the exploratory data analysis. They are used e.g. in data mining or machine learning. Although they share the same goal, they reach it with different methods. Over the years, some misunderstandings came up, how these methods differ fro...

Principal component method is used to study galactic globular clusters in 7-and 8-axis space of structural parameters. It is shown that the manifold properties of clusters with this set of parameters is determined mainly by two independent factors. This result may be useful for the theory of formation and evolution of clusters. In authors paper [2] the factor analysis (principal component metho...

Patient flow analysis (PFA), a simple quality improvement tool to identify patient flow patterns, can be used in resource-limited settings to inform service delivery improvements. A PFA at a Ghanaian hospital found that personnel constraints and a mismatch between staffing and patient arrival surges led to long wait and total attendance times. The median time from arrival to first-provider cont...

Tourism in general has become one of the major cultural and economic forces in the world today, and is regarded as an important means to benefi t local communities. Phuket for example has experienced tremendous development since 1980s. Many construction projects are carried out on the islands with only one purpose: to accommodate tourism development. Rapid investments by the government and priv...