Sensitive, specific, and interpretable: Evolving a fuzzy mammographic-interpretation assessment tool

Carlos Andrés Peña-Reyes; Moshe Sipper; Luis Prieto

Sensitive, specific, and interpretable: Evolving a fuzzy mammographic-interpretation assessment tool

Carlos Andrés Peña-Reyes, Moshe Sipper, Luis Prieto

Department of Computer Science

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

In this paper we focus on the problem of mammographic interpretation and in the construction of a computerized system to assess physicians in this task. We propose a solution based on fuzzy systems, and apply our fuzzy modeling methodology-Fuzzy CoCo-to find systems exhibiting both good performance and high interpretability. The results presented show the capacity of Fuzzy CoCo to find systems that satisfy different requirements concerning the complexity of the solution, expressed mainly as the number of rules.

Original language	English
Pages (from-to)	837-842
Number of pages	6
Journal	IEEE International Conference on Fuzzy Systems
Volume	2
State	Published - 31 Dec 2002
Event	2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Cite this

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abstract = "In this paper we focus on the problem of mammographic interpretation and in the construction of a computerized system to assess physicians in this task. We propose a solution based on fuzzy systems, and apply our fuzzy modeling methodology-Fuzzy CoCo-to find systems exhibiting both good performance and high interpretability. The results presented show the capacity of Fuzzy CoCo to find systems that satisfy different requirements concerning the complexity of the solution, expressed mainly as the number of rules.",

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AU - Sipper, Moshe

AU - Prieto, Luis

PY - 2002/12/31

Y1 - 2002/12/31

N2 - In this paper we focus on the problem of mammographic interpretation and in the construction of a computerized system to assess physicians in this task. We propose a solution based on fuzzy systems, and apply our fuzzy modeling methodology-Fuzzy CoCo-to find systems exhibiting both good performance and high interpretability. The results presented show the capacity of Fuzzy CoCo to find systems that satisfy different requirements concerning the complexity of the solution, expressed mainly as the number of rules.

AB - In this paper we focus on the problem of mammographic interpretation and in the construction of a computerized system to assess physicians in this task. We propose a solution based on fuzzy systems, and apply our fuzzy modeling methodology-Fuzzy CoCo-to find systems exhibiting both good performance and high interpretability. The results presented show the capacity of Fuzzy CoCo to find systems that satisfy different requirements concerning the complexity of the solution, expressed mainly as the number of rules.

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M3 - Conference article

AN - SCOPUS:0036454085

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JO - IEEE International Conference on Fuzzy Systems

JF - IEEE International Conference on Fuzzy Systems

Y2 - 12 May 2002 through 17 May 2002

ER -

Sensitive, specific, and interpretable: Evolving a fuzzy mammographic-interpretation assessment tool

Abstract

ASJC Scopus subject areas

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