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Generalized and Customizable Sets in R

David Meyer, +1 more
- 04 Aug 2009 - 
- Vol. 31, Iss: 1, pp 1-27
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TLDR
This introduction to the R package sets is a (slightly) modied version of Meyer and Hornik (2009a), published in the Journal of Statistical Software.
Abstract
This introduction to the R package sets is a (slightly) modied version of Meyer and Hornik (2009a), published in the Journal of Statistical Software. We present data structures and algorithms for sets and some generalizations thereof (fuzzy sets, multisets, and fuzzy multisets) available for R through the sets package. Fuzzy (multi-)sets are based on dynamically bound fuzzy logic families. Further extensions include user-denable iterators and matching functions.

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Journal ArticleDOI

frbs: Fuzzy Rule-Based Systems for Classification and Regression in R

TL;DR: This paper presents the R package frbs, which implements the most widely used FRBS models, namely, Mamdani and Takagi Sugeno Kang (TSK) ones, as well as some common variants.
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Statistical Disclosure Control for Microdata Using the R-Package sdcMicro

TL;DR: The R package sdcMicro serves as an easy-to-handle, object-oriented S4 class implementation of SDC methods to evaluate and anonymize confidential micro-data sets and performs automated recalculation of frequency counts, individual and global risk measures, information loss and data utility statistics after each anonymization step.
Journal ArticleDOI

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

TL;DR: An overview of freely available and open-source fuzzy systems software is presented in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well-founded future work.
Journal ArticleDOI

A Comprehensive Literature Review of 50 Years of Fuzzy Set Theory

TL;DR: A comprehensive literature review on the fuzzy set theory is realized and this literature review also analyzes the chronological development of these extensions.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book

The Art of Computer Programming

TL;DR: The arrangement of this invention provides a strong vibration free hold-down mechanism while avoiding a large pressure drop to the flow of coolant fluid.
Journal ArticleDOI

On the theory of bags

TL;DR: The bag structure as a set-like object in which repeated elements are significant and the operation of selecting elements from a bag based upon their membership in a set is introduced.
Book

Fuzzy information engineering: a guided tour of applications

TL;DR: Partial table of contents: CLARIFYING INFORMATION: SENSING and ENHANCING and EXPLOITING INFORMATION: DESIGNING and OPTIMIZING.