Search Results - subject:"Fuzzy data"

Coppi, Renato; Giordani, Paolo; Pierpaolo D’Urso - In: Psychometrika 71 (2006) 4, pp. 733-761

Persistent link: https://www.econbiz.de/10005603735

Viertl, Reinhard; Sunanta, Owat - In: METRON 71 (2013) 3, pp. 207-216

-regions and predictive distributions are generalized to the situation of fuzzy a-priori information and fuzzy data. Copyright …

Persistent link: https://www.econbiz.de/10011000675

A multiple linear regression model for imprecise information

Ferraro, Maria; Giordani, Paolo - In: Metrika 75 (2012) 8, pp. 1049-1068

In standard regression analysis the relationship between the (response) variable and a set of (explanatory) variables is investigated. In the classical framework the response is affected by probabilistic uncertainty (randomness) and, thus, treated as a random variable. However, the data can also...

Persistent link: https://www.econbiz.de/10010896485

Fuzzy data treated as functional data: A one-way ANOVA test approach

González-Rodríguez, Gil; Colubi, Ana; Gil, María Ángeles - In: Computational Statistics & Data Analysis 56 (2012) 4, pp. 943-955

measures and techniques can be properly applied to analyze fuzzy data. This fact is connected with the possibility of … the statistical analysis of fuzzy data by considering techniques in functional data analysis and vice versa. In this … respect, an approach to the FANOVA test is presented and analyzed, and it is later particularized to deal with fuzzy data. The …

Persistent link: https://www.econbiz.de/10011056437

Fuzzy and possibilistic clustering for fuzzy data

Coppi, Renato; D’Urso, Pierpaolo; Giordani, Paolo - In: Computational Statistics & Data Analysis 56 (2012) 4, pp. 915-927

imprecision or vagueness. This is handled by means of LR fuzzy numbers. An FkM model for LR fuzzy data is firstly developed and a … real world fuzzy data confirm the validity of both models, while providing indications as to some advantages connected with …

Persistent link: https://www.econbiz.de/10010577730

A possibilistic approach to latent structure analysis for symmetric fuzzy data.

D'Urso, Pierpaolo; Giordani, Paolo - Dipartimento di Economia, Gestione, Società e … - 2003

structure analysis to deal with fuzzy data is proposed. Our extension follows the possibilistic approach, widely used both in … structure analysis for fuzzy data by optimization. Specifically, a non-linear programming problem in which the fuzziness of the …

Persistent link: https://www.econbiz.de/10005583215

A flexible neural network-fuzzy data envelopment analysis approach for location optimization of solar plants with uncertainty and complexity

Azadeh, A.; Sheikhalishahi, M.; Asadzadeh, S.M. - In: Renewable Energy 36 (2011) 12, pp. 3394-3401

and uncertainty. The flexible approach is composed of artificial neural network (ANN) and fuzzy data envelopment analysis …

Persistent link: https://www.econbiz.de/10011044435

Measuring process capability index C <Subscript> pm </Subscript> with fuzzy data

Chen, Cheng-Che; Lai, Chun-Mei; Nien, Hsiao-Yu - In: Quality & Quantity: International Journal of Methodology 44 (2010) 3, pp. 529-535

Persistent link: https://www.econbiz.de/10009391256

Currency CrisEs ANALYZED BY Type-I Fuzzy System Modelling

Özkan, Ibrahim; Türksen, I. B.; Aktan, Okan - In: Fuzzy Economic Review IX (2004) 1, pp. 35-59

inference local OLS type Regression is used. This modelling can also be classified as a fuzzy data mining that uses a basic …

Persistent link: https://www.econbiz.de/10004992742

Testing hypotheses with fuzzy data: The fuzzy <Emphasis Type="Bold">p-value

Filzmoser, P.; Viertl, R. - In: Metrika 59 (2004) 1, pp. 21-29

Statistical hypothesis testing is very important for finding decisions in practical problems. Usually, the underlying data are assumed to be precise numbers, but it is much more realistic in general to consider fuzzy values which are non-precise numbers. In this case the test statistic will also...

Persistent link: https://www.econbiz.de/10005598667