A Fuzzy System for Mapping Worker Attributes to Tasks

J. Philip Craiger; Michael D. Coovert; Philip Craiger

doi:10.3758/BF03204601

A Fuzzy System for Mapping Worker Attributes to Tasks

J. Philip Craiger, Michael D. Coovert, Philip Craiger

University of South Florida

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

Abstract

We developed a prototype of a rule-based expert system that facilitates a mapping from tasks comprising a job to the knowledge, skills, and abilities (KSAs) ostensibly required to perform the tasks. A variant offuzzy logic was employed in the inference process. Signal detection theory was used to evaluate the performance of the system. The results indicated that the system performed well in terms of its ability to discriminate between the KSAs that are required of a task and those that are not. The discussion focuses on implications of the system and its use as an intelligent assistant in human resources planning.

Original language	American English
Journal	Behavior Research Methods, Instruments, and Computers
Volume	26
DOIs	https://doi.org/10.3758/BF03204601
State	Published - Jun 1994

Keywords

expert systems
job knowledge skills and abilities
fuzzy logic
task performance

Disciplines

Computer and Systems Architecture
Computer-Aided Engineering and Design
Graphics and Human Computer Interfaces

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10.3758/BF03204601License: Unspecified

Cite this

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abstract = " We developed a prototype of a rule-based expert system that facilitates a mapping from tasks comprising a job to the knowledge, skills, and abilities (KSAs) ostensibly required to perform the tasks. A variant offuzzy logic was employed in the inference process. Signal detection theory was used to evaluate the performance of the system. The results indicated that the system performed well in terms of its ability to discriminate between the KSAs that are required of a task and those that are not. The discussion focuses on implications of the system and its use as an intelligent assistant in human resources planning.",

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AU - Craiger, J. Philip

AU - Coovert, Michael D.

AU - Craiger, Philip

N1 - We developed a prototype of a rule-based expert system that facilitates a mapping from tasks comprising a job to the knowledge, skills, and abilities (KSAs) ostensibly required to perform the tasks....

PY - 1994/6

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N2 - We developed a prototype of a rule-based expert system that facilitates a mapping from tasks comprising a job to the knowledge, skills, and abilities (KSAs) ostensibly required to perform the tasks. A variant offuzzy logic was employed in the inference process. Signal detection theory was used to evaluate the performance of the system. The results indicated that the system performed well in terms of its ability to discriminate between the KSAs that are required of a task and those that are not. The discussion focuses on implications of the system and its use as an intelligent assistant in human resources planning.

AB - We developed a prototype of a rule-based expert system that facilitates a mapping from tasks comprising a job to the knowledge, skills, and abilities (KSAs) ostensibly required to perform the tasks. A variant offuzzy logic was employed in the inference process. Signal detection theory was used to evaluate the performance of the system. The results indicated that the system performed well in terms of its ability to discriminate between the KSAs that are required of a task and those that are not. The discussion focuses on implications of the system and its use as an intelligent assistant in human resources planning.

KW - expert systems

KW - job knowledge skills and abilities

KW - fuzzy logic

KW - task performance

UR - https://link.springer.com/article/10.3758/BF03204601

U2 - 10.3758/BF03204601

DO - 10.3758/BF03204601

M3 - Article

SN - 1532-5970

VL - 26

JO - Behavior Research Methods, Instruments, and Computers

JF - Behavior Research Methods, Instruments, and Computers

ER -

A Fuzzy System for Mapping Worker Attributes to Tasks

Abstract

Keywords

Disciplines

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