Results 51 to 60 of about 9,592 (232)

Exploratory multivariate analysis for empirical information affected by uncertainty and modeled in a fuzzy manner: a review [PDF]

Granular Computing, 2017
In the last few decades, there has been an increase in the interest of the scientific community for multivariate statistical techniques of data analysis in which the data are affected by uncertainty, imprecision, or vagueness. In this context, following a fuzzy formalization, several contributions and developments have been offered in various fields of
openaire   +3 more sources

Experimental Investigation of Sensitivity for Coal and Gas Outburst Risk Prediction Indexes in Raw and Tectonic Composite Coal Seams

Energy Science &Engineering, EarlyView.
A comparative study was conducted on gas desorption laws of raw and tectonic coals. The sensitivity of regional and local outburst prediction indexes was compared. Gas content is more sensitive than gas pressure for composite coal seams. K1 can more accurately predict the outburst danger than Δh2 $\Delta {h}_{2}$ in composite coal seams.
Haijun Guo, Xi Xi, Kai Wang, Liang Wang, Yulin Li   +4 more
wiley   +1 more source

Multivariate Approaches to Classification in Extragalactic Astronomy [PDF]

, 2015
Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in ...
Chattopadhyay, Asis Kumar, Fraix-Burnet, Didier, Thuillard, Marc   +2 more
core   +3 more sources

Flood susceptibility assessment in central region of Vietnam based on ensemble fuzzy logic and multivariate analysis

Urbanism. Arhitectura. Constructii, 2022
Flooding is the most damaging natural hazard in the world. A better understanding of floods is a fundamental element in guiding the development of policies for managing and reducing flood risk. The main objective of this research is to contribute to the improvement of knowledge on flood susceptibility by combining Fuzzy AHP and Multivariate Analysis ...
Duc-Loc Nguyen, Tien-Yin Chou, Mei-Hsin Chen, Thanh-Van Hoang, Trong-Phuong Tran, Thanh-Son Ngo, Ngoc-Anh Do Thi, Thu-Huong Bui, Quoc-Huy Nguyen   +8 more
openaire   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Multivariate fuzzy analysis of brain tissue volumes and relaxation rates for supporting the diagnosis of relapsing-remitting multiple sclerosis

Biomedical Signal Processing and Control, 2019
Multiple Sclerosis (MS) is a chronic neuroinflammatory disorder of the brain and spinal cord, widely studied nowadays, due to its relevant prevalence in the population. Even though no cure exists, an earlier and more adequate choice of treatment could delay its evolution and prevent irreversible sequelae and disability progression.
Marco Pota, Massimo Esposito, Rosario Megna, Giuseppe De Pietro, Mario Quarantelli, Vincenzo Brescia Morra, Bruno Alfano   +6 more
openaire   +1 more source

Rural–Urban Digital Divide: Evidence From Indian States

International Journal of Finance &Economics, EarlyView.
ABSTRACT The Indian economy has achieved significant progress in recent years, with the country expected to contribute about 16% of the global growth. However, at the sub‐national level, economic development has been quite disparate over the decades, with widening inequality between the richer western and southern states and other parts of the country.
Rashmi Arora, Nikhil Sapre
wiley   +1 more source

Estimation of coal proximate analysis factors and calorific value by multivariable regression method and adaptive neuro-fuzzy inference system (ANFIS)

International Journal of Mining and Geo-Engineering, 2017
The proximate analysis is the most common form of coal evaluation and it reveals the quality of a coal sample. It examines four factors including the moisture, ash, volatile matter (VM), and fixed carbon (FC) within the coal sample. Every factor is determined through a distinct experimental procedure under ASTM specified conditions.
Behnamfard, Ali, Alaei, Rasool
openaire   +2 more sources

A Comparative Study on the Irrigation Suitability of Kerala's Rivers Using Fuzzy AHP and Conventional Methods

Irrigation and Drainage, EarlyView.
ABSTRACT Food security in Kerala depends on effective irrigation, but poor‐quality irrigation water poses threats such as salinity, sodicity and reduced soil productivity. Although past assessments have been localised, this study presents the first comprehensive, statewide evaluation of irrigation water suitability across 44 major rivers in Kerala.
Raji Karuna, S. K. Pramada, Venkataramana Sridhar   +2 more
wiley   +1 more source

Characterization and classification of medicinal plant extracts according to their antioxidant activity using high-performance liquid chromatography and multivariate analysis

, 2020
Fuzzy divisive hierarchical clustering (FDHC) alongside with principal component analysis, hierarchical cluster analysis and linear discriminant analysis are efficiently employed for the characterization and clustering of some medicinal plants according ...
I. Simion, A. Moț, R. Gaceanu, Horia F. Pop, C. Sârbu   +4 more
semanticscholar   +1 more source