The special issue of

*Computational Statistics and Data Analysis* on

**The fuzzy approach to Statistics** is no longer

"forthcoming".

Volume 51, issue 1 of CSDA contains nothing less than 25 papers. Some of them present overviews of specific aspects of the SPFS interface.

The table of contents is as follows:

The fuzzy approach to statistical analysis

Pages 1-14

Renato Coppi, Maria A. Gil and Henk A.L. Kiers

Generalized theory of uncertainty (GTU)—principal concepts and ideas

Pages 15-46

Lotfi A. Zadeh

Possibility theory and statistical reasoning

Pages 47-69

Didier Dubois

Random and fuzzy sets in coarse data analysis

Pages 70-85

Hung T. Nguyen and Berlin Wu

Practical representations of incomplete probabilistic knowledge

Pages 86-108

C. Baudrit and D. Dubois

Tools for fuzzy random variables: Embeddings and measurabilities

Pages 109-114

Miguel López-Díaz and Dan A. Ralescu

Conditional probability and fuzzy information

Pages 115-132

Giulianella Coletti and Romano Scozzafava

Univariate statistical analysis with fuzzy data

Pages 133-147

Reinhard Viertl

Bootstrap approach to the multi-sample test of means with imprecise data

Pages 148-162

María Ángeles Gil, Manuel Montenegro, Gil González-Rodríguez, Ana Colubi and María Rosa Casals

A fuzzy representation of random variables: An operational tool in exploratory analysis and hypothesis testing

Pages 163-176

Gil González-Rodríguez, Ana Colubi and María Ángeles Gil

A decision support system methodology for forecasting of time series based on soft computing

Pages 177-191

J.D. Bermúdez, J.V. Segura and E. Vercher

Data analysis with fuzzy clustering methods

Pages 192-214

Christian Döring, Marie-Jeanne Lesot and Rudolf Kruse

Extending fuzzy and probabilistic clustering to very large data sets

Pages 215-234

Richard J. Hathaway and James C. Bezdek

Regression with fuzzy random data

Pages 235-252

Wolfgang Näther

Dual models for possibilistic regression analysis

Pages 253-266

Peijun Guo and Hideo Tanaka

Least squares estimation of a linear regression model with LR fuzzy response

Pages 267-286

Renato Coppi, Pierpaolo D’Urso, Paolo Giordani and Adriana Santoro

Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable

Pages 287-313

Pierpaolo D’Urso and Adriana Santoro

The coefficient of concordance for vague data

Pages 314-322

Przemysław Grzegorzewski

Goodman–Kruskal γ measure of dependence for fuzzy ordered categorical data

Pages 323-334

Olgierd Hryniewicz

Fuzzy multidimensional scaling

Pages 335-359

Pierre-Alexandre Hébert, Marie-Hélène Masson and Thierry Denœux

I-Scal: Multidimensional scaling of interval dissimilarities

Pages 360-378

P.J.F. Groenen, S. Winsberg, O. Rodríguez and E. Diday

A comparison of three methods for principal component analysis of fuzzy interval data

Pages 379-397

Paolo Giordani and Henk A.L. Kiers

Design of local fuzzy models using evolutionary algorithms

Pages 398-416

Piero P. Bonissone, Anil Varma, Kareem S. Aggour and Feng Xue

Fuzzy modelling and estimation of economic relationships

Pages 417-433

David Shepherd and Francis K.C. Shi

Development of fuzzy process control charts and fuzzy unnatural pattern analyses

Pages 434-451

Murat Gülbay and Cengiz Kahraman