FID4.1: an overview

C.Z. Janikow

doi:10.1109/NAFIPS.2004.1337419

FID4.1: an overview

C.Z. Janikow

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Abstract

FID4.1 is a freeware software tool for supervised classification, using fuzzy decision tree and forest. It is loosely based on the ID3 decision tree algorithm. It handles nominal, continuous, and linguistic attributes and classes. It can also operate with noisy and unknown features, both in training and testing data. For continuous attributes that are not partitioned into fuzzy sets, the system generates fuzzy partitioning using topdown and bottom-up methods. Finally, FID uses a number of inferences, falling into two classes: set-based and exemplar-based. In this paper we overview the major features and functionalities of FID4.1.

Original language	American English
Journal	North American Fuzzy Information Processing Society
Volume	2
DOIs	https://doi.org/10.1109/NAFIPS.2004.1337419
State	Published - Jan 1 2004

Disciplines

Computer Sciences
Artificial Intelligence and Robotics

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10.1109/NAFIPS.2004.1337419License: Unspecified

Cite this

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AB - FID4.1 is a freeware software tool for supervised classification, using fuzzy decision tree and forest. It is loosely based on the ID3 decision tree algorithm. It handles nominal, continuous, and linguistic attributes and classes. It can also operate with noisy and unknown features, both in training and testing data. For continuous attributes that are not partitioned into fuzzy sets, the system generates fuzzy partitioning using topdown and bottom-up methods. Finally, FID uses a number of inferences, falling into two classes: set-based and exemplar-based. In this paper we overview the major features and functionalities of FID4.1.

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FID4.1: an overview

Abstract

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