UTHM Institutional Repository

A new integrated knowledge-based system for incomplete knowledge in planting material selection

Mohd Salleh, Mohd Najib and Mohd Nawi, Nazri and Mohd Salikon, Mohd Zaki (2012) A new integrated knowledge-based system for incomplete knowledge in planting material selection. Other thesis, Universiti Tun Hussein Onn Malaysia.

Full text not available from this repository.

Abstract

A missing value in incomplete information always inherent the accuracy of classification tasks when a decision tree is used to classify unseen cases. There will be cases where plausible values are required to retain towards more principled and less intrusive. In order to handle the attribute with missing values, the researcher generalizes decision algorithms that provide simpler and more understandable models to optimally fulfill human expert requirement and constraint. Our objective is to partition data by taking full advantages of the information with presence of missing values; but with supporting global information to achieve better performance. The contributions of this are newly developed algorithms and analyses for planting material classification. The researcher reports the empirical results that may provide high return in planting material breeders in oil palm industry through effective policies design and decision making.

Item Type: Thesis (Other)
Uncontrolled Keywords: uncertainty measure; decision support system; fuzzy cluster analysis
Subjects: Q Science > QK Botany
Depositing User: Normajihan Abd. Rahman
Date Deposited: 14 Aug 2018 01:35
Last Modified: 14 Aug 2018 01:35
URI: http://eprints.uthm.edu.my/id/eprint/3852
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item